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, visit . About This Opportunity We are looking for a Senior Data Scientist who thrives at the intersection of cutting... on their private data. With a focus on secure, compliant, and infrastructure-flexible Sovereign AI deployments, H2O.ai delivers

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, visit . About This Opportunity We are looking for a Senior Data Scientist who thrives at the intersection of cutting... on their private data. With a focus on secure, compliant, and infrastructure-flexible Sovereign AI deployments, H2O.ai delivers

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. Position: Senior Data Scientist and Data Engineering Experts Type: Contract Compensation: $120–$180/hour Location: Remote... Role Responsibilities Design realistic, challenging data science and data engineering tasks, including exploratory

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Data Scientist | AI & Model Validation Independently test and challenge some of the Group’s most important machine... of important machine learning and AI models across the Group. As a Data Scientist in the team, you’ll help assess whether

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a Data Scientist to join the team, on a 12-month fixed-term contract, and help drive ongoing success. What You'll Be Doing... and non-technical stakeholders. Build automated analytical processes and support secure, reliable and high-quality data

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and Contribution As a Data Scientist - Credit Risk Models, you’ll apply advanced statistical and quantitative techniques to develop... with complex data and challenging modelling problems, combining technical rigour with commercial and risk judgement to understand

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, along with an undergraduate degree from a top-ranked university. Requirements Key Requirements Currently working as a Data Scientist... We are seeking experienced Data Scientists and Machine Learning Scientists currently working at leading technology companies. The

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Join our client’s team as a Lead Data Scientist and help apply advanced analytics, artificial intelligence and machine... learning to complex business challenges. You’ll lead end-to-end data science delivery, turning structured and unstructured data

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Data Scientist | Base salary up to $130,000 + Super Sydney, CBD NSW | Full-time | On-site (5 days/week in the office... research and data science capabilities. They are looking for an exceptional Data Scientist to join their Sydney-based team

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. Roster: Monday to Friday As Hydrogeologist / Water Data Scientist in the Water Planning team, you will support water... reporting function where you will focus on the development of water data-related tools and progress approval management

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Job Category: Analytics and Insights Job Description: Data Scientist At WSP, we're using data to help solve... looking for a Data Scientist with strong data engineering capabilities who can take projects from raw source systems through

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better decisions, improve the customer experience and run a smarter, more efficient airline. We're looking for a Data Scientist... (AI) to join our growing AI capability and work at the intersection of data science, commercial decision-making and real-world aviation

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Senior Data Scientist I Bring your expertise in Python, SQL, machine learning and agentic AI to turn complex... to deliver reliable, future ready data and AI solutions that power smarter decisions. As a Senior Data Scientist

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We are looking for a curious and analytically driven Data Scientist to join our team and transform complex datasets... skills, capable of translating data-driven findings into clear recommendations for both technical and non-technical

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across home lending and related property services. As a Senior Data Scientist, you will turn complex customer and business... environment. About the role Lendi Group is building data and AI capabilities that help customers make better decisions

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ML and AI models, across business and support units. As a Senior Data Scientist within the team, you will independently... and carry out validation that is proportionate to the risk, covering data, methodology, assumptions and outcomes, and explain

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across home lending and related property services. As a Senior Data Scientist, you will turn complex customer and business... environment. About the role Lendi Group is building data and AI capabilities that help customers make better decisions

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Role: Senior Data Scientist Location: Murarrie, QLD (Home of the Turrbal and Yuggera Peoples) Employment.... As a Senior Data Scientist within Goodstart's Data Science team, you will be the team's subject matter expert in predictive

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Job Description As the Staff Data Scientist, you will lead and develop a high-performing data science team... experience as a practicing data scientist capable of engaging credibly at a technical level. You are… An influential partner

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in Australia, New Zealand, and South East Asia. Last year, Ray White sold over $53 billion worth of property. The Data Scientist... pipelines and analytical products that transform complex property data into reliable market intelligence. The Data Scientist

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Wesfarmers OneDigital is building Australia's leading data and digital retail ecosystem, underpinned by AI across everything we do. We operate across four pillars - loyalty, data, retail media and AI, turning millions of customer interactions into insights that shape how Australians shop, live and connect. We have an exciting, new opportunity for a Data Scientist to join our team! This role will work across the full lifecycle of data science projects—from exploration and experimentation to deployment and monitoring. You’ll collaborate with stakeholders to solve business problems by applying machine learning, advanced analytics and generative / agentic AI to data across the Wesfarmers group. You’ll contribute to the development of scalable AI solutions and help embed data science into decision-making processes across the organisation. What you’ll do · Translate business challenges into analytical problems and develop data-driven solutions. · Perform exploratory data analysis and generate actionable business insights. · Design and execute A/B tests and other statistical experiments. · Create clear visualisations and reports to communicate findings to non-technical audiences. · Experiment, build and deploy machine learning and AI solutions. · Evaluate ML/AI outputs for quality, cost, and safety. · Monitor and maintain deployed solutions, ensuring reliability and performance. · Leverage AI tools including coding agents, skills and plugins to accelerate experiments and enhance the quality of data science outcomes. · Contribute to the development and adoption of data science best-practices, reusable patterns and delivery standards. What you’ll need · Several years of experience in data science, analytics, or AI. · Experience with statistical analysis and hypothesis testing. · Familiarity with machine learning algorithms and data driven AI applications. · Proficiency in Python and SQL for data analysis and model development. · Experience with Snowflake or other cloud data platforms. · Familiarity with cloud ML and AI platforms such as Google Agent Platform (formerly Vertex AI). · Experience with AI coding tools, GenAI / agentic AI solutions and LLM evaluation. · Experience with PowerBI or visualization tools. Experience using Snowflake, SQL, Python, Codex · Experience with unsupervised learning, graph algorithms or causal inference. · Application of ML / AI best practices and responsible AI. · Google Agent Platform (Vertex AI) · Ability to communicate technical concepts to non-technical audiences. · Bachelor’s degree in Data Science, Statistics, AI, Computer Science, or a related field. About Wesfarmers As one of Australia’s largest listed companies, we’re proud of our longstanding contribution to Australians. We continually reinvent ourselves and invest in the businesses we own and operate, including leading retailers like Bunnings, Kmart, Target, Officeworks and Priceline. We also have an online offering, including OnePass and the Group shared data asset. Our work doesn’t stop there, we operate in the industrials sector which supplies the nation with chemicals, energy and fertilisers, and industrial and safety products. And we participate in an integrated lithium joint venture, including the operation of a mine and concentrator and the development of a refinery. Join the team at Corporate Office which provides support and advice across the Wesfarmers Group The Corporate Office provides corporate services and support to the autonomous businesses within the Wesfarmers Group, enabling the achievement of Group objectives. It leads capital allocation and portfolio management for the Group and focuses on leveraging and enhancing the Group’s reputation to support attraction and retention of talent, securing investment opportunities and maintaining a low-cost capital. To do this, we need great people, working together and role modelling our values and ways of working. Our culture We’re results focused, but we’re a business that cares. Here we are less about titles and more about everyone playing a valuable role. We provide autonomy and space with freedom to operate, quickly learning from mistakes because we know they are part of the way forward. We’re curious, open minded, and collaborative. And although we’re thought leaders, we’re humble, and willing to share knowledge and learn from one another. We know that diversity fosters greater innovation and better customer connection, so we strive to create an inclusive and diverse work environment.

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Data Scientist | AI & Model Validation Independently test and challenge some of the Group’s most important machine learning, Generative AI and agentic AI use cases. Build hands-on expertise across emerging AI architectures, evaluation methods and responsible AI. Create reusable evaluations, test harnesses and automation to help strengthen how AI is validated at scale. Do Work That Matters AI & General Model Validation (AIGMV) provides independent technical challenge and review of important machine learning and AI models across the Group. As a Data Scientist in the team, you’ll help assess whether AI solutions perform as intended by independently evaluating their data, methodology, assumptions and outcomes. You’ll combine hands-on technical investigation with clear, evidence-based challenge, helping support safe and sustainable AI adoption. See yourself in our team You’ll work closely with model developers, product owners and business stakeholders while maintaining the independence expected of a validation function. In this role, you will: Independently deliver defined components of AI and ML validation, including technical analysis, testing and evaluation. Review data, methodologies, assumptions and model outcomes, investigating unexpected behaviour and potential weaknesses. Design and execute evaluations for Generative AI and agentic systems, including architectures involving RAG, tool use, guardrails, routing, memory and LLM-as-a-Judge approaches. Build reproducible test harnesses, reusable evaluations and automation that improve the efficiency and consistency of validation. Navigate unfamiliar codebases, reproduce evaluation pipelines and inspect trace data to understand model and agent behaviour. Provide constructive, evidence-based technical challenge and bring your findings into broader validation conclusions. Communicate complex technical findings clearly to both technical and non-technical stakeholders. Share knowledge and contribute to the continuing development of AI validation practices, tooling and standards. We’re interested in hearing from people who: This role will suit a curious, hands-on Data Scientist who enjoys getting beneath the surface of how AI systems behave. You’ll bring sound analytical judgement, attention to detail and the confidence to investigate unexpected results, while staying curious as Generative AI and agentic techniques continue to evolve. Experience across several of the following will help you succeed: Advanced Python skills and experience with GitHub, version control and CI/CD; SQL, R or TypeScript exposure is also valuable. Experience with frameworks and tools such as LangChain, LangGraph, OpenAI Agents SDK, Pydantic and evaluation or observability platforms such as Langfuse or HoneyHive. Practical knowledge of Generative AI and agentic architectures, including orchestrators, sub-agents, RAG pipelines, tool use, guardrails, multi-agent routing and memory. Hands-on experience building or evaluating AI and Generative AI solutions, including synthetic data; transformer fine-tuning experience would be beneficial. Experience using AI coding agents such as Claude Code or Codex, including building reusable skills, agents, hooks or plugins to automate technical workflows. Working knowledge of traditional machine-learning approaches such as regression, random forests and XGBoost, together with appropriate evaluation methods. Confidence reading unfamiliar code, reproducing evaluation pipelines, writing test harnesses and analysing trace data. Strong communication skills and the ability to explain complex analysis and technical risks clearly to different audiences. If AI safety matters to you, you enjoy learning independently and you bring strength across some rather than all of these areas, we’d like to hear from you. If you're already part of the Commonwealth Bank Group (including Bankwest, x15ventures), you'll need to apply through Sidekick to submit a valid application. We’re keen to support you with the next step in your career. We're aware of some accessibility issues on this site, particularly for screen reader users. We want to make finding your dream job as easy as possible, so if you require additional support please contact HR Direct on 1800 989 696. Advertising End Date: 10/11/2026

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Our Federal Government client is seeking an experienced Lead Data Scientist to lead the design, development and deployment of advanced analytics, artificial intelligence and machine learning solutions within a large-scale government environment. This role (at EL1 level) will help drive the delivery of innovative data science initiatives, leveraging data to support operational outcomes and strategic decision-making. The successful candidate will lead end-to-end data science activities, provide technical leadership across AI initiatives and work closely with stakeholders to deliver practical, scalable and responsible AI solutions. For submission, candidates must possess existing Baseline clearance. Role Title: Lead Data Scientist Start Date: December 2026 Contract Role Till: 12 Month Initial Contract Pay Rate: Competitive Market Rates Location: Open to candidates in Adelaide (5000), Canberra, Brisbane, Melbourne or Hobart. Candidates are required to work onsite for the first 6 weeks, after which flexible hybrid arrangements may be considered. Security Clearance: Australian Citizens only can be considered, due to needing to be able to obtain and maintain Baseline Security Clearance. Tasks & Responsibilities: Lead the design, development and implementation of artificial intelligence and machine learning solutions. Drive the delivery of advanced analytics initiatives that support operational outcomes and strategic decision-making. Lead data acquisition, integration, transformation and feature engineering activities across complex datasets. Design and oversee experimentation, proof-of-concept activities and model validation processes. Develop and implement robust model evaluation frameworks, performance monitoring and operational metrics. Lead the deployment, integration and ongoing optimisation of AI, machine learning and analytical solutions. Define and apply statistical, predictive and machine learning techniques to solve complex business challenges. Develop solutions leveraging emerging AI technologies, including generative AI, large language models and retrieval-augmented generation (RAG). Partner with stakeholders to identify business needs and translate complex technical concepts into actionable insights. Drive the implementation of Responsible AI practices, including model governance, fairness, explainability and risk controls. Provide technical leadership, quality assurance and mentoring to data science team members. Lead documentation, knowledge sharing and capability uplift initiatives across the broader organisation. Experience & Skills Required: Extensive experience delivering advanced data science, artificial intelligence and machine learning solutions within large and complex environments. Strong expertise in statistical modelling, predictive analytics, machine learning and advanced analytical methodologies. Experience designing, evaluating and optimising generative AI solutions, including Large Language Models (LLMs), prompt engineering and RAG architectures. Demonstrated experience leading the full model lifecycle, from experimentation and development through to deployment and monitoring. Strong programming and analytical skills with experience developing custom scripts and data science solutions. Experience working with large, complex datasets and implementing effective data acquisition, transformation and modelling techniques. Proven ability to engage stakeholders and translate business requirements into practical analytical solutions. Strong understanding of Responsible AI principles, model assurance, governance and ethical AI practices. If you feel this opportunity matches your skills and previous experience, please apply with your CV. Candidates must possess existing Australian working rights (Australian Citizens only and be able to obtain and maintain a Baseline Clearance) and live in the Greater Adelaide, Brisbane, Canberra, Melbourne or Hobart Areas.

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H2O.ai is on a mission to democratize AI for Good. As the world’s leading agentic AI company, H2O.ai converges Generative and Predictive AI to help enterprises and public sector agencies develop purpose-built Agents, SLMs, and solutions on their private data. With a focus on secure, compliant, and infrastructure-flexible Sovereign AI deployments, H2O.ai delivers solutions that align with the highest standards of data privacy and control. Its open-source technology is trusted by over 20,000 organizations worldwide, including more than half of the Fortune 500. H2O.ai powers AI transformation for companies like AT&T, Commonwealth Bank of Australia, Wells Fargo, Bank of America, Workday, Progressive Insurance, and NIH. For more information, visit www.h2o.ai . About This Opportunity We are looking for a Senior Data Scientist who thrives at the intersection of cutting-edge AI and real enterprise impact. You will work directly with some of APAC's most sophisticated organisations - helping them move from AI curiosity to AI value, across the full spectrum of predictive and generative AI. This is not a lab role. You will be in the room with executives, data science teams, and business stakeholders - building solutions, running enablement programs, and translating complex AI into outcomes that decision-makers can act on. You will be backed by a world-class team including Kaggle Grandmasters, and equipped with H2O.ai's industry-leading platform spanning AutoML, LLM Studio, and agentic AI tooling. This position is based in Sydney, Australia. What You Will Do Partner with stakeholders to deliver data-driven AI/ML solutions across industries such as banking, insurance, retail, healthcare, and manufacturing. Build, validate, and deploy predictive ML models for forecasting, classification, optimisation, and anomaly detection. Apply statistical and ML techniques (regression, trees, ensembles, time series, clustering) based on business needs. Explore GenAI approaches where relevant, including LLMs, SLMs, RAG, prompt engineering, and basic agentic workflows. Perform end-to-end data science work including data exploration, feature engineering, modelling, evaluation, and interpretation. Translate model outputs into actionable insights for business stakeholders. Collaborate with engineering teams on model productionisation. What We Are Looking For 4 years of experience in data science, machine learning, or applied AI roles. Strong predictive ML foundations (feature engineering, model selection, evaluation, interpretability). Experience working with real-world datasets and business problem framing. Exposure to GenAI: LLMs, SLMs, RAG, prompt engineering, or agentic workflows. Strong Python skills. Understanding of deployment/MLOps concepts. Strong communication, storytelling and presentation skills. How to Stand Out From the Crowd H2O product experience. Kaggle competition experience or equivalent applied ML work. Cloud or production ML exposure. A/B testing or causal inference experience. SLM or agentic AI exposure. Open-source, research, or technical writing. Client-facing experience: scoping problems, managing expectations, and delivering solutions with customer teams. Why H2O.ai? Market leader in total rewards Remote-friendly culture Flexible working environment Be part of a world-class team Career growth H2O.ai is committed to creating a diverse and inclusive culture. All qualified applicants will receive consideration for employment without regard to their race, ethnicity, religion, gender, sexual orientation, age, disability status or any other legally protected basis. H2O.ai is an innovative AI cloud platform company, leading the mission to democratize AI for everyone. Thousands of organizations from all over the world have used our cutting-edge technology across a variety of industries. We’ve made it easy for people at all levels to generate breakthrough solutions to complex business problems and advance the discovery of new ideas and revenue streams. We push the boundaries of what is possible with artificial intelligence. H2O.ai employs the world’s top Kaggle Grandmasters, the community of best-in-the-world machine learning practitioners and data scientists. A strong AI for Good ethos and responsible AI drive the company’s purpose. Please visit www.H2O.ai to learn more. LI-Hybrid For information about how H2O.ai collects, uses, and protects your personal information during the recruitment process, please review our Candidate Privacy Notice.

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Join a Globally Recognised and Innovative Brand An exciting opportunity is available with Samsung Electronics Australia, one of the world's most recognised technology brands. Employed by people2people and working closely with Samsung, you'll be part of an innovative and collaborative environment where new ideas are encouraged, achievements are recognised and professional growth is supported. We're seeking a Data Scientist to join the team, on a 12-month fixed-term contract, and help drive ongoing success. What You'll Be Doing: Analyse complex datasets to uncover trends, patterns, anomalies and new commercial opportunities. Develop and validate statistical, predictive and machine learning models using Python and SQL. Apply hypothesis testing, A/B testing and advanced analytics to solve complex business challenges. Leverage Snowflake, dbt, Tableau, Cortex AI and Claude Code to develop innovative analytical solutions. Translate complex technical findings into compelling insights and recommendations for technical and non-technical stakeholders. Build automated analytical processes and support secure, reliable and high-quality data pipelines. Collaborate with global Samsung Ads teams to share insights, best practices and drive data-led decision making. What You'll Bring: Previous experience in Data Science, Analytics or a related quantitative discipline. Strong SQL and Python capability, with hands-on experience in statistical analysis and modelling. Degree in Computer Science, Mathematics, Statistics, Economics, Engineering, Physics or a related quantitative discipline. Strong statistical foundation with experience across predictive modelling, regression, classification, clustering or time-series analysis. Experience with BI and visualisation tools, ideally Tableau, and cloud data platforms such as Snowflake and dbt. Strong analytical and problem-solving skills, with the ability to turn complex data into clear commercial insights. A curious, proactive and adaptable mindset with the confidence to explore new technologies and AI-powered analytics. Why Join Us? This is an opportunity to gain valuable experience within a globally recognised organisation while enjoying the support of both Samsung and the people2people team. In return, you'll enjoy: Competitive remuneration Free onsite parking Generous employee discounts across the Samsung product range Wellbeing Initiatives Barista-made coffee every Monday Ongoing professional development opportunities Discounts across 400 retail partners Quarterly Connection Events Exposure to a dynamic, collaborative and high-performing environment If you're looking to take the next step in your career with a leading global brand, we'd love to hear from you! At people2people, Edge Recruitment and Frog Recruitment, we welcome everyone and encourage people to be their authentic selves. If you require reasonable adjustments during the recruitment process, please contact your recruitment consultant so we can support your needs. LI-PROMOTED [People2people]

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Our Federal Government client is seeking an experienced Lead Data Scientist to lead the design, development and deployment of advanced analytics, artificial intelligence and machine learning solutions within a large-scale government environment. This role (at EL1 level) will help drive the delivery of innovative data science initiatives, leveraging data to support operational outcomes and strategic decision-making. The successful candidate will lead end-to-end data science activities, provide technical leadership across AI initiatives and work closely with stakeholders to deliver practical, scalable and responsible AI solutions. For submission, candidates must possess existing Baseline clearance. Role Title: Lead Data Scientist Start Date: December 2026 Contract Role Till: 12 Month Initial Contract Pay Rate: Competitive Market Rates Location: Open to candidates in Adelaide (5000), Canberra, Brisbane, Melbourne or Hobart. Candidates are required to work onsite for the first 6 weeks, after which flexible hybrid arrangements may be considered. Security Clearance: Australian Citizens only can be considered, due to needing to be able to obtain and maintain Baseline Security Clearance. Tasks & Responsibilities: Lead the design, development and implementation of artificial intelligence and machine learning solutions. Drive the delivery of advanced analytics initiatives that support operational outcomes and strategic decision-making. Lead data acquisition, integration, transformation and feature engineering activities across complex datasets. Design and oversee experimentation, proof-of-concept activities and model validation processes. Develop and implement robust model evaluation frameworks, performance monitoring and operational metrics. Lead the deployment, integration and ongoing optimisation of AI, machine learning and analytical solutions. Define and apply statistical, predictive and machine learning techniques to solve complex business challenges. Develop solutions leveraging emerging AI technologies, including generative AI, large language models and retrieval-augmented generation (RAG). Partner with stakeholders to identify business needs and translate complex technical concepts into actionable insights. Drive the implementation of Responsible AI practices, including model governance, fairness, explainability and risk controls. Provide technical leadership, quality assurance and mentoring to data science team members. Lead documentation, knowledge sharing and capability uplift initiatives across the broader organisation. Experience & Skills Required: Extensive experience delivering advanced data science, artificial intelligence and machine learning solutions within large and complex environments. Strong expertise in statistical modelling, predictive analytics, machine learning and advanced analytical methodologies. Experience designing, evaluating and optimising generative AI solutions, including Large Language Models (LLMs), prompt engineering and RAG architectures. Demonstrated experience leading the full model lifecycle, from experimentation and development through to deployment and monitoring. Strong programming and analytical skills with experience developing custom scripts and data science solutions. Experience working with large, complex datasets and implementing effective data acquisition, transformation and modelling techniques. Proven ability to engage stakeholders and translate business requirements into practical analytical solutions. Strong understanding of Responsible AI principles, model assurance, governance and ethical AI practices. If you feel this opportunity matches your skills and previous experience, please apply with your CV. Candidates must possess existing Australian working rights (Australian Citizens only and be able to obtain and maintain a Baseline Clearance) and live in the Greater Brisbane, Canberra, Melbourne, Adelaide or Hobart Areas.

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Senior Data Scientist required to create a forecasting model for a well-known retailer to assist with workforce planning. Responsibilities: Working with internal stakeholders to gather and define requirements Analysing historical and real-time data, assess data quality and identify gaps Developing qualitative forecasting models using statistical and machine learning techniques Building scalable and adaptable models to allow for changing workforce flows Requirements: Extensive background in data analysis and statistical modelling Strong data integration, cleansing and analysis Proven experience in time-series forecasting and scenario analysis Excellent stakeholder engagement and collaborative development skills Extensive experience working in an Azure environment, with Fabric and AI Foundry skills Click on the 'Apply' button or send your resume to [email protected]

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About Us Mutinex is a data and marketing analytics startup transforming the multi-trillion-dollar advertising industry by challenging the traditional consulting-based approach to Market Mix Modelling. We are expanding our team and welcoming experienced talent to collaboratively build our globally used and transformative marketing measurement product suite - GrowthOS, DataOS, MAITE. We empower marketers by helping them to understand the value of their past decisions and the impact of future marketing spend. With offices in Sydney, Melbourne and New York City, we encourage you to work in the way that maximises your performance. What’s the role? We are looking for a Senior/Staff Data Scientist to help grow our uniquely positioned model stack. With a special focus on model and data product development and marketing science, you will take charge of our models in finding ways to improve robustness and learning of causal relationships. You will also support and lead the scalable and automated deployment of our models and data products for new customers. As a fast growing startup, your work will help refine our data platform by refining its engine: our state-of-the-art marketing investment models. Improving our models and data products will directly contribute to our growth. The mission of our data science team is to be the central nervous system of Mutinex. Day to day Development of machine learning models as a product, with a critical focus on quality and customer success. Development of novel models and data products. R&D POC work using contemporary developments in ML, AI, and statistics. Writing: creating documentation for both data science and non-technical stakeholders; providing a data science lens on insights and outputs from the model, processes, and data products. Required qualifications Strong Python - deep knowledge of the standard library, canonical best practices, contemporary trends, and knowledge of ML frameworks such as Pytorch and JAX. Strong principles in software engineering. Expertise in Bayesian Statistics. Experience working with multivariate time series data. Experience implementing statistical inference algorithms (e.g., particle-filters, variational inference). Solid understanding of fundamental mathematics for statistics and machine learning - probability theory, linear algebra, and calculus. Machine learning fundamentals. Bachelors/Masters/PhD in statistics, data science, or comparable quantitative degree - e.g. Engineering, Science. Why you should join us We’re improving a multibillion dollar industry with product technology that is disrupting the status quo of consulting based approaches to marketing mix modelling. Although it’s early days, we’re well positioned to win. We’ve got brilliant people, a market leading product, and we are regularly closing household name customers on the strength of our product in the market. As a technology driven data science company we recognise that excellence in engineering will provide an edge that allows us to move faster and build richer more innovative products. We’re putting our money where our mouth is, and investing substantially in the quality of our codebase and platform, and holding a high hiring bar for engineers in our teams. You’ll also be joining a company that’s harnessing the artificial intelligence and data science wave that is currently rolling through the industry. Data is in our DNA, and we’re positioned to join disruptive companies like Snowflake, OpenAI, Fivetran, Amplitude, Segment, Monte Carlo that have garnered multi billion dollar valuations. As we grow there’ll be an opportunity to share in the wealth upside with equity part of your package. The opportunity to work in a data science product company in Australia is not to be passed over lightly. We’d love to hear from you.

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Business & Team: Financial Crime AI Team, COO See yourself in our team: At the heart of the Chief Operations Office, we’re driving CBA’s ambition to detect, deter and ultimately eliminate financial crime through the power of transformative AI solutions. As a Principal Data Scientist in Financial Crime domain, you’ll be a hands-on technical leader working in cross-functional squads with engineers and other experts to design and deliver innovative, responsible and high impact AI solutions. You’ll stay at the forefront of emerging technologies, fostering a culture of curiosity, inclusion, and continuous learning in the team, and translating complex ideas into high-impact outcomes for our customers and colleagues. You’ll contribute strongly to guide the team on technically demanding problems across Fin Crime domain as AI continues to evolve. If you’re passionate about shaping the future of AI while helping others thrive, we’d love you to lead with us. Key Responsibilities: Lead GenAI and Agentic system design and development: Prototype, design, develop, deploy and design monitoring for innovative GenAI and Agentic solutions that transform the prevention, detection and investigation of Financial Crime in the bank while setting technical direction and best practices across the domain. Develop and implement Machine Learning Models: Prototype, design, build, deploy and monitor a variety of machine learning models Expand Data/AI Science Usage : Identify potential AI opportunities across Fin Crime for future focus Drive Continuous Improvement and Business Outcomes: Work closely with financial crime stakeholders to understand risk and operational pain points, driving adoption of AI and GenAI to enhance detection, improve investigative outcomes, and shape the future operating model We’re interested in hearing from people with the following skills. Technical Leadership and Coordination: Ability to coordinate effectively across the Fin Crime and COO Data Science community to unify efforts and drive collaborative outcomes. Demonstrated capability in driving outcomes that are reusable and can be leveraged across the group. Intellectual curiosity and ability and willingness to learn, experiment and lead new to the world concepts Technical Skills and Tools: Generative AI: Experience designing and deploying various aspects of Generative AI, including prompt engineering, Retrieval-Augmented Generation (RAG), guardrail design, orchestration design, skills, evals frameworks, and tools such as LangChain and LangGraph. Machine Learning : Expertise in the design and construction of machine learning models, including natural language processing, unsupervised clustering and classification algorithms including feature engineering, model selection, hyperparameter tuning, model evaluation, and deployment of models into production environments. Cutting-Edge AI : Work on projects leveraging traditional AI, Generative AI, and agentic AI to pave the path for how banking and broader industry functions in the future. Version Control and CI/CD: Experience with version control and CI/CD pipelines such as GitHub. Tooling : Hands-on experience with data science tools such as Spark, Python, R, TensorFlow, PyTorch, and SQL. Data Engineering: Knowledge of ETL processes and data pipeline construction, ensuring efficient data flow and integration. Deployment : Familiar with Docker for containerization and deployment of applications. Cloud Architecture: Grounded understanding in AWS or Azure Cloud architecture and integration, demonstrating experience in deploying and managing cloud-based solutions. Working with us: Our people bring their diverse backgrounds and unique perspectives to build a respectful, inclusive, and flexible workplace with an ultimate flexibility to work from any of our engineering hubs within Australia. One where we’re driven by our values, and supported to share ideas, initiatives, and energy. One where making a positive impact for customers, communities and each other is part of our every day. If you're already part of the Commonwealth Bank Group (including Bankwest, x15ventures), you'll need to apply through Sidekick to submit a valid application. We’re keen to support you with the next step in your career. We're aware of some accessibility issues on this site, particularly for screen reader users. We want to make finding your dream job as easy as possible, so if you require additional support please contact HR Direct on 1800 989 696. Advertising End Date: 29/10/2026

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About Dreamerlabs Dreamerlabs is building a new category of entertainment: interactive experiences powered by AI characters, chat, voice, image and video, shaped in real time around each person. Entertainment has spent decades becoming more personalised, from TV to YouTube to TikTok. AI unlocks a second axis, interactivity, where the story responds to you. That is what we’re building, and we’re doing it at serious scale. In under two years, we have built one of the most-visited AI entertainment products in the world: 20 million monthly visitors A top 1,000 website globally 250 billion tokens processed every day 1.2 million images and videos generated every day 350 model requests per second, served from our own GPU fleet We’ve done it profitable and bootstrapped, and now we are scaling our team as we launch new products on the platform. Why Data Scientists join us We fine-tune and deploy models for chat, image, video and voice, build our own models in-house, and run hundreds of GPUs across multiple data centres. We are one of very few companies in Australia improving the latest AI models across all of these, with the user data to tell which changes actually make them better. We’re AI-first in how we work, too. Everyone works with the latest AI tools, and we’re constantly experimenting with how great people can do more than ever with them. The role You’ll own data science for a product area, end to end. You’ll set up the logging, run the experiments, work out what changed and why, and turn that into decisions about what we build next. You will then measure whether it worked and keep improving it. You work with the founders to decide what to investigate and how, and you’re accountable for real outcomes for users on a product used by millions every month. Our priorities move quickly, so you’ll switch between projects as they change. Problems you could own: Making our AI models better. Work out what makes a good chat, image or video result for our users from real usage data, and measure whether each new model is an improvement. Conversion and retention experiments. Run A/B tests, including setting up event data, checking implementation details and investigating unexpected results. Explaining changes in user behaviour. Pinpoint which traffic source, product or infra change affected which users, then build automated systems to diagnose it. Understanding customer journeys. Implement the product analytics and logging we need to understand different journeys in detail. We’re deliberately flat, with no levels and no management layers. The team includes former Heads of Engineering, Principal Engineers and founders who chose to be individual contributors because they love building, alongside people from Meta, Canva, Alibaba, Immutable and Rokt. You’ll work directly with the founders. What we’re looking for We care more about what you’ve done and how you think than years of experience or a checklist of technologies. You might be a senior data scientist, a product analyst who has shaped product direction, or earlier in your career with an exceptional side project to show for it. You’ve found something that mattered. An investigation, experiment or analysis that changed a real product decision. You can explain clearly what you did and why it was hard. Product judgement. You understand users, form a view on what’s worth building, and back it with evidence. Ideally you’ve worked on a customer-facing product. End-to-end ownership. You turn an ambiguous question into an answer the team acts on without someone breaking it into tasks, and you check what happened after. Technically minded. You can create and debug event logging, read and write code, and understand product flows. Rigour and pragmatism. You check the data yourself, verify that it's correct and make your conclusions traceable. You know the difference between a real insight, a weak signal and a guess. Clear communication. You explain your thinking succinctly, with data, and challenge ideas constructively. Curiosity about AI. You keep up with new models and tools and learn new areas very quickly. Hunger. You want to win, hold yourself to high standards, and want the responsibility of owning something important. Our product stack is TypeScript, Next.js, React, tRPC, Postgres, ClickHouse, Temporal and AWS. How we work We work together in person in North Sydney, because things change fast and the best decisions happen in the room. We prioritise ruthlessly, test ideas in a day rather than planning them for weeks, and keep meetings and approvals to a minimum. We think of ourselves as a competitive sports team with a real shot at winning. That means a high-intensity environment, and it’s built for people who want exactly that. What you’ll get Above-market pay. We reward exceptional people with above-market salaries and meaningful equity. Fast reward for impact. Compensation is reviewed every six months, with raises and bonuses tied to what you deliver, not your title. Growth without management. Your scope, influence and pay can keep growing while you stay hands-on. All meals covered. Breakfast, lunch and dinner every day, plus stocked fridges. A company card and unlimited workspace budget. For food, coffee, software, AI tools, equipment and the setup you need to do your best work. A great office. Dog-friendly, in North Sydney, with a big balcony for working outdoors. Optional team socials. Gym sessions, running, swimming, escape rooms and more. Visa sponsorship. For people relocating to Australia.

About the role

Bayside Health Bayside Health is a public health service delivering high-quality care across every stage of life for close to 1.2 million people living in metropolitan Melbourne, the Mornington Peninsula, Koo Wee Rup, Bass Coast and Southern Gippsland. We have more than 15 main sites, including hospitals, centres and clinics that provide comprehensive care from welcoming newborns to supporting older people and a full range of services in between. More than 22,000 dedicated staff are focused on providing exceptional, equitable, and locally connected care through shared expertise, compassion, and a commitment to continuous growth. Education and training are central to staff development as we encourage all employees to strive and thrive. Bayside Health was formed following the merger of Alfred Health, Bass Coast Health, Gippsland Southern Health Service, Kooweerup Regional Health Service and Peninsula Health on 1 January 2026. Permanent, Full-Time position Health and Allied Services, Managers and Administrative Workers Grade 5 (HS5) Based at 541 St Kilda Road Great staff benefits! 5 weeks annual leave and salary packaging Position Summary The Data Scientist plays a key role in developing and applying advanced analytics to improve patient care, operational efficiency, and research outcomes at Bayside Health. The role focuses on designing, implementing, and maintaining machine learning models and analytical solutions, in close collaboration with clinicians, researchers, and business partners. This position is suited to a motivated and curious problem-solver who can work with complex healthcare data, contribute to innovative projects, and continually develop their technical expertise. Key Duties And Responsibilities Develop and maintain predictive models and machine learning algorithms to address clinical, operational, and research challenges Analyse large and complex data sets to identify patterns, trends, and actionable insights Work with cross-functional teams to translate business and clinical needs into analytical solutions Support the development of data-driven applications and tools to support decision making across the organisation Document analytical solutions and contribute to reproducible, well-governed workflows Stay up-to-date with the latest advancements in data science and machine learning, and apply them to improve existing models and algorithms Partner with researchers to assess feasibility of new research ideas, identify data requirements and contribute to grant applications Serve as a subject matter expert on data science, communicating concepts to broad technical and non-technical audiences Respond to ad hoc data and reporting requests, and other duties as required Key Capabilities Strong technical skills in data analysis and machine learning, with experience applying algorithms to real-world problems Expertise in machine learning techniques including deep learning, supervised and unsupervised learning, and natural language processing A solid understanding of how to choose and apply appropriate machine learning models for specific use cases Working knowledge of statistical analysis, including regression analysis, hypothesis testing, and statistical modelling Exceptional communication and stakeholder management skills, with the ability to liaise at all levels of the organisation Possess a creative mindset with the ability to come up with new and innovative approaches to solving complex problems; able to think outside the box and use data in new ways to derive insights and inform business decisions Excellent problem-solving and analytical skills, with the ability to work in a fast-paced, dynamic environment Qualifications/Experience Required Essential Bachelor’s degree in data science, Statistics, Mathematics, Computer Science, Engineering, or related quantitative field Minimum 2 years of experience in data analysis, with healthcare experience highly desirable Hands-on experience implementing machine learning algorithms Strong Python and SQL programming skills Experience working with relational databases and data visualisation tools (e.g., Streamlit, Power BI) Desirable Postgraduate qualification in relevant field Experience with transformers, large language models and agentic systems Experience with prompt engineering and fine-tuning techniques Experience with MLOps frameworks Experience with cloud platforms and big data technologies (Azure/Databricks preferred) Staff Benefits Salary packaging & novated leasing through Maxxia Onsite car & bike parking opportunities, deducted pre-tax *subject to availability Access for you and your family to an extensive network of health and fitness facilities through Fitness Passport membership Enjoy excellent onsite fitness facilities at The Alfred via ProSport (pre-tax memberships) Childcare services at The Alfred managed by KU Children’s Services If applicable, please specify specific requirements that you require in your cover letter or CV. For enquiries regarding this position, please contact Bahar Salehi (Lead Data Scientist) via [email protected] Applications close 11:00pm AEDT Friday, 6 November 2026. We embrace diversity and strive to have a workforce that reflects the communities we serve. We actively encourage applications from Aboriginal and Torres Strait Islander people, people with disability, and people of all genders, sexualities, and cultural backgrounds. If you require adjustments to the recruitment and selection process, or require an alternative format to any of the application materials, please don’t hesitate to get in touch with the contact person listed on this ad. In accordance with the Health Services Amendment (Mandatory Vaccination of Healthcare Workers) Act 2020, health care workers in Category A or B roles (as determined by the department’s risk ratings) are required to be vaccinated against influenza or hold an acceptable medical exemption.

About the role

Data Scientist At WSP, we're using data to help solve some of the world's most complex infrastructure, environmental and community challenges. From utilities and transport networks to climate resilience and asset management, our teams are delivering intelligent solutions that create lasting impact. We're looking for a Data Scientist with strong data engineering capabilities who can take projects from raw source systems through to production-ready data products and machine learning solutions. This is not a research-focused role. We're seeking someone who enjoys building end-to-end solutions, owns the technical delivery, and can bridge the gap between data engineering, analytics and operationalised AI. What you'll do As part of our growing Data & Digital team, you'll design, build and deploy scalable data and machine learning solutions for a diverse range of infrastructure clients. You will: Design and build ingestion pipelines from client source systems including SCADA, asset registers, geospatial, climate, environmental and utilities data into cloud platforms such as Snowflake, Databricks and Azure. Develop robust, layered data architectures including raw, staging and curated data models using dbt or equivalent frameworks. Build, validate and deploy statistical and machine learning models, transforming prototypes into monitored and production-ready solutions. Establish CI/CD practices, environments, secrets management and automation for data and model pipelines. Assess client data maturity, quality and governance practices, providing strategic recommendations for improved data collection and management. Deliver end-to-end projects, including discovery, architecture design, development, testing, deployment, documentation and client handover. Support business development activities through technical input into proposals, bids and advisory engagements. Collaborate with multidisciplinary teams across transport, water, energy, defence, environment and major infrastructure projects. What we'll be looking for Essential You will bring a combination of data science expertise and engineering rigour, including: Strong Python development skills, including software engineering best practices such as packaging, testing, version control, code reviews and maintainable code design. Advanced SQL skills with experience in optimisation, data modelling, metric development and complex transformations. Production experience with cloud data platforms such as Snowflake, Databricks, Azure Data Services or equivalent AWS technologies. Experience with modern transformation and orchestration tools including dbt, Airflow, Azure Data Factory or similar. A solid understanding of statistics and machine learning techniques including regression, classification, forecasting and validation methodologies. Demonstrated experience operationalising data products, machine learning models or data pipelines within production environments. Experience working with large, complex and imperfect operational datasets from multiple source systems. Strong stakeholder engagement skills, with the ability to communicate technical concepts and architectural decisions to both technical and non-technical audiences. Desirable Experience in any of the following areas will be highly regarded: MLOps tooling including MLflow, model registries and model monitoring. Docker, Azure Functions or other deployment technologies. Infrastructure as Code tools such as Terraform or Bicep. High-frequency telemetry, IoT or time-series data. Geospatial analytics and tools such as GeoPandas. Infrastructure sector experience across water, transport, energy, defence or environmental services. Optimisation, simulation or digital twin applications. Power BI or similar visualisation tools sufficient to support analyst handover and reporting requirements. Why join WSP? At WSP, you'll work on projects that shape cities, communities and critical infrastructure across Australia and beyond. You'll join a collaborative team of engineers, scientists, consultants and digital specialists who are passionate about solving complex problems with data and technology. We offer: The opportunity to work on nationally significant infrastructure and sustainability projects. Access to industry-leading digital, AI and cloud technologies. Flexible working arrangements that support work-life balance. Ongoing investment in learning, development and technical career growth. A collaborative, inclusive and high-performing culture where innovation is encouraged. The chance to influence how data and AI are applied to some of the world's most pressing challenges. Imagine a better future for us all and a better future for you. With us, you can. Apply today.

About the role

Data Scientist At WSP, we're using data to help solve some of the world's most complex infrastructure, environmental and community challenges. From utilities and transport networks to climate resilience and asset management, our teams are delivering intelligent solutions that create lasting impact. We're looking for a Data Scientist with strong data engineering capabilities who can take projects from raw source systems through to production-ready data products and machine learning solutions. This is not a research-focused role. We're seeking someone who enjoys building end-to-end solutions, owns the technical delivery, and can bridge the gap between data engineering, analytics and operationalised AI. What you'll do As part of our growing Data & Digital team, you'll design, build and deploy scalable data and machine learning solutions for a diverse range of infrastructure clients. You will: Design and build ingestion pipelines from client source systems including SCADA, asset registers, geospatial, climate, environmental and utilities data into cloud platforms such as Snowflake, Databricks and Azure. Develop robust, layered data architectures including raw, staging and curated data models using dbt or equivalent frameworks. Build, validate and deploy statistical and machine learning models, transforming prototypes into monitored and production-ready solutions. Establish CI/CD practices, environments, secrets management and automation for data and model pipelines. Assess client data maturity, quality and governance practices, providing strategic recommendations for improved data collection and management. Deliver end-to-end projects, including discovery, architecture design, development, testing, deployment, documentation and client handover. Support business development activities through technical input into proposals, bids and advisory engagements. Collaborate with multidisciplinary teams across transport, water, energy, defence, environment and major infrastructure projects. What we'll be looking for Essential You will bring a combination of data science expertise and engineering rigour, including: Strong Python development skills, including software engineering best practices such as packaging, testing, version control, code reviews and maintainable code design. Advanced SQL skills with experience in optimisation, data modelling, metric development and complex transformations. Production experience with cloud data platforms such as Snowflake, Databricks, Azure Data Services or equivalent AWS technologies. Experience with modern transformation and orchestration tools including dbt, Airflow, Azure Data Factory or similar. A solid understanding of statistics and machine learning techniques including regression, classification, forecasting and validation methodologies. Demonstrated experience operationalising data products, machine learning models or data pipelines within production environments. Experience working with large, complex and imperfect operational datasets from multiple source systems. Strong stakeholder engagement skills, with the ability to communicate technical concepts and architectural decisions to both technical and non-technical audiences. Desirable Experience in any of the following areas will be highly regarded: MLOps tooling including MLflow, model registries and model monitoring. Docker, Azure Functions or other deployment technologies. Infrastructure as Code tools such as Terraform or Bicep. High-frequency telemetry, IoT or time-series data. Geospatial analytics and tools such as GeoPandas. Infrastructure sector experience across water, transport, energy, defence or environmental services. Optimisation, simulation or digital twin applications. Power BI or similar visualisation tools sufficient to support analyst handover and reporting requirements. Why join WSP? At WSP, you'll work on projects that shape cities, communities and critical infrastructure across Australia and beyond. You'll join a collaborative team of engineers, scientists, consultants and digital specialists who are passionate about solving complex problems with data and technology. We offer: The opportunity to work on nationally significant infrastructure and sustainability projects. Access to industry-leading digital, AI and cloud technologies. Flexible working arrangements that support work-life balance. Ongoing investment in learning, development and technical career growth. A collaborative, inclusive and high-performing culture where innovation is encouraged. The chance to influence how data and AI are applied to some of the world's most pressing challenges. Imagine a better future for us all and a better future for you. With us, you can. Apply today.

About the role

About BHP At BHP we support our people to grow, learn, develop their skills and reach their potential. With a global portfolio of operations, we offer a diverse and inclusive environment with extraordinary career opportunities. Our strategy is to focus on creating a safe work environment where our employees feel strongly connected to our values and objectives, and where the capability of our people is key to our success. Come and be a part of this success. About the MECoE BHP's Maintenance and Engineering Centre of Excellence (MECoE) are the coming together of a dedicated, innovative team focused on identifying, achieving and maintaining the highest standards in maintenance for BHP globally. Your diversity of thought and experience will be embraced and you will be empowered to make a real difference in our business. You will utilise innovative approaches, tools and technology to add real value to our teams – setting new standards to guide improvement activity, transforming services and supporting our people. About the Role BHP’s Data Analytics team manages critical maintenance datasets and delivers data-driven diagnostics that help improve maintenance productivity and cost outcomes across BHP's global operations. Combining advanced analytics with deep operational understanding, the team partners with operations to identify improvement opportunities and support evidence-based decision making. As a Specialist Data Science within the Data Analytics team, you will play a key role in developing and improving trusted data and analytics products that support maintenance performance and decision-making across BHP. Leveraging BHP’s extensive datasets and modern data technologies, you will design, develop and maintain scalable data products, analytical solutions and insights that help our customers understand performance, identify opportunities and make better-informed decisions The Specialist Data Science will be working collaboratively alongside other data scientists and analysts, performance and improvement specialists, and operations and business subject matter experts to level up BHP’s maintenance productivity. This is a Brisbane based role offering permanent opportunity working Monday to Friday. Flexible working options are available. In this role, you will: Investigate complex problems using a structured problem-solving approach Write code and conduct analysis utilising a range of technologies and techniques Build and enhance scalable data and analytics products using modern technologies. Drive improvements in data quality, automation and standardisation Work closely with stakeholders and SMEs to formulate asset management strategies from insights. Confidently present ideas, results, and recommendations to stakeholders at all organisational levels About You You will have a related tertiary qualification and demonstrated experience in supporting business improvement strategies and initiatives. You will: Have strong analytical, critical thinking and creative problem-solving skills Have experience programming in Python and SQL to: Build descriptive, diagnostic, predictive and prescriptive modelling Perform structured and unstructured data mining Be a collaborative team player that is results orientated Thrive in dynamic, fast paced teams. Other highly regarded experience includes: Have experience in exploring and proposing new ideas that may have benefits for the business Asset Management experience in mining, manufacturing, or similar heavy industry Experience working in engineering and/or management consulting Experience using Power BI About Our Process At BHP, we are committed to employing individuals who align with the BHP Charter Values and meet the requirements of the role. As part of the recruitment process, there are a number of checks which may be conducted to demonstrate applicants suitability for a role including police / criminal background checks, medical, drug and alcohol testing, due diligence checks, right to work checks, and/or reference checks. If you are already employed directly by BHP, please log in using your BHP email address or apply via our internal jobs portal. Supporting a Diverse Workforce The size, stability and magnitude of our business not only provides significant opportunity for professional development, but also attractive salary packages with performance-based bonuses and a best-in-class employee share program. We know there are many aspects of our employees' lives that are important, and work is only one of these, so we offer benefits to enable your work to fit with your life. These benefits include flexible working options, a generous paid parental leave policy, other extended leave entitlements and parent rooms. At BHP, we know that we are strengthened by diversity. We are an Equal Opportunity employer that is committed to making BHP a safe and inclusive workplace where everyone can thrive and be at their best every day. We are focused on creating a workforce that’s more diverse and represents the communities where we work and live. providing a work environment in which everyone is included, treated fairly and with respect. We are an Equal Opportunity employer and recognise that true diversity includes gender, age, race, disability status, sexual orientation, religion, neurodiversity, education levels, and many more aspects of your identity. BHP is committed to providing a recruitment process that is fair, equitable and accessible for all. If you have a disability, we know that it may be helpful for us to adjust our process to make it equitable for your individual situation. If you would like to reach out to someone about your situation and our recruitment process, please email us at [email protected] .

About the role

Description Data Scientist At WSP, we're using data to help solve some of the world's most complex infrastructure, environmental and community challenges. From utilities and transport networks to climate resilience and asset management, our teams are delivering intelligent solutions that create lasting impact. We're looking for a Data Scientist with strong data engineering capabilities who can take projects from raw source systems through to production-ready data products and machine learning solutions. This is not a research-focused role. We're seeking someone who enjoys building end-to-end solutions, owns the technical delivery, and can bridge the gap between data engineering, analytics and operationalised AI. What you'll do As part of our growing Data & Digital team, you'll design, build and deploy scalable data and machine learning solutions for a diverse range of infrastructure clients. You will: Design and build ingestion pipelines from client source systems including SCADA, asset registers, geospatial, climate, environmental and utilities data into cloud platforms such as Snowflake, Databricks and Azure. Develop robust, layered data architectures including raw, staging and curated data models using dbt or equivalent frameworks. Build, validate and deploy statistical and machine learning models, transforming prototypes into monitored and production-ready solutions. Establish CI/CD practices, environments, secrets management and automation for data and model pipelines. Assess client data maturity, quality and governance practices, providing strategic recommendations for improved data collection and management. Deliver end-to-end projects, including discovery, architecture design, development, testing, deployment, documentation and client handover. Support business development activities through technical input into proposals, bids and advisory engagements. Collaborate with multidisciplinary teams across transport, water, energy, defence, environment and major infrastructure projects. What we'll be looking for Essential You will bring a combination of data science expertise and engineering rigour, including: Strong Python development skills, including software engineering best practices such as packaging, testing, version control, code reviews and maintainable code design. Advanced SQL skills with experience in optimisation, data modelling, metric development and complex transformations. Production experience with cloud data platforms such as Snowflake, Databricks, Azure Data Services or equivalent AWS technologies. Experience with modern transformation and orchestration tools including dbt, Airflow, Azure Data Factory or similar. A solid understanding of statistics and machine learning techniques including regression, classification, forecasting and validation methodologies. Demonstrated experience operationalising data products, machine learning models or data pipelines within production environments. Experience working with large, complex and imperfect operational datasets from multiple source systems. Strong stakeholder engagement skills, with the ability to communicate technical concepts and architectural decisions to both technical and non-technical audiences. Desirable Experience in any of the following areas will be highly regarded: MLOps tooling including MLflow, model registries and model monitoring. Docker, Azure Functions or other deployment technologies. Infrastructure as Code tools such as Terraform or Bicep. High-frequency telemetry, IoT or time-series data. Geospatial analytics and tools such as GeoPandas. Infrastructure sector experience across water, transport, energy, defence or environmental services. Optimisation, simulation or digital twin applications. Power BI or similar visualisation tools sufficient to support analyst handover and reporting requirements. Why join WSP? At WSP, you'll work on projects that shape cities, communities and critical infrastructure across Australia and beyond. You'll join a collaborative team of engineers, scientists, consultants and digital specialists who are passionate about solving complex problems with data and technology. We offer: The opportunity to work on nationally significant infrastructure and sustainability projects. Access to industry-leading digital, AI and cloud technologies. Flexible working arrangements that support work-life balance. Ongoing investment in learning, development and technical career growth. A collaborative, inclusive and high-performing culture where innovation is encouraged. The chance to influence how data and AI are applied to some of the world's most pressing challenges. Imagine a better future for us all and a better future for you. With us, you can. Apply today.

About the role

Description Data Scientist At WSP, we're using data to help solve some of the world's most complex infrastructure, environmental and community challenges. From utilities and transport networks to climate resilience and asset management, our teams are delivering intelligent solutions that create lasting impact. We're looking for a Data Scientist with strong data engineering capabilities who can take projects from raw source systems through to production-ready data products and machine learning solutions. This is not a research-focused role. We're seeking someone who enjoys building end-to-end solutions, owns the technical delivery, and can bridge the gap between data engineering, analytics and operationalised AI. What you'll do As part of our growing Data & Digital team, you'll design, build and deploy scalable data and machine learning solutions for a diverse range of infrastructure clients. You will: Design and build ingestion pipelines from client source systems including SCADA, asset registers, geospatial, climate, environmental and utilities data into cloud platforms such as Snowflake, Databricks and Azure. Develop robust, layered data architectures including raw, staging and curated data models using dbt or equivalent frameworks. Build, validate and deploy statistical and machine learning models, transforming prototypes into monitored and production-ready solutions. Establish CI/CD practices, environments, secrets management and automation for data and model pipelines. Assess client data maturity, quality and governance practices, providing strategic recommendations for improved data collection and management. Deliver end-to-end projects, including discovery, architecture design, development, testing, deployment, documentation and client handover. Support business development activities through technical input into proposals, bids and advisory engagements. Collaborate with multidisciplinary teams across transport, water, energy, defence, environment and major infrastructure projects. What we'll be looking for Essential You will bring a combination of data science expertise and engineering rigour, including: Strong Python development skills, including software engineering best practices such as packaging, testing, version control, code reviews and maintainable code design. Advanced SQL skills with experience in optimisation, data modelling, metric development and complex transformations. Production experience with cloud data platforms such as Snowflake, Databricks, Azure Data Services or equivalent AWS technologies. Experience with modern transformation and orchestration tools including dbt, Airflow, Azure Data Factory or similar. A solid understanding of statistics and machine learning techniques including regression, classification, forecasting and validation methodologies. Demonstrated experience operationalising data products, machine learning models or data pipelines within production environments. Experience working with large, complex and imperfect operational datasets from multiple source systems. Strong stakeholder engagement skills, with the ability to communicate technical concepts and architectural decisions to both technical and non-technical audiences. Desirable Experience in any of the following areas will be highly regarded: MLOps tooling including MLflow, model registries and model monitoring. Docker, Azure Functions or other deployment technologies. Infrastructure as Code tools such as Terraform or Bicep. High-frequency telemetry, IoT or time-series data. Geospatial analytics and tools such as GeoPandas. Infrastructure sector experience across water, transport, energy, defence or environmental services. Optimisation, simulation or digital twin applications. Power BI or similar visualisation tools sufficient to support analyst handover and reporting requirements. Why join WSP? At WSP, you'll work on projects that shape cities, communities and critical infrastructure across Australia and beyond. You'll join a collaborative team of engineers, scientists, consultants and digital specialists who are passionate about solving complex problems with data and technology. We offer: The opportunity to work on nationally significant infrastructure and sustainability projects. Access to industry-leading digital, AI and cloud technologies. Flexible working arrangements that support work-life balance. Ongoing investment in learning, development and technical career growth. A collaborative, inclusive and high-performing culture where innovation is encouraged. The chance to influence how data and AI are applied to some of the world's most pressing challenges. Imagine a better future for us all and a better future for you. With us, you can. Apply today.

About the role

Job Overview Our Federal Government client seeks a Data Scientist to support in the Energy and Resources Programs. The selected candidate will work with complex datasets, including time-series, geospatial and operational data, to identify trends, generate insights, develop reports and dashboards, and support the development of analytical and machine learning solutions. This role focuses on data analysis, reporting, data management, and supporting the development and operationalisation of analytical and machine learning solutions within a collaborative team environment. Key duties and responsibilities • Collect, process, cleanse and validate data from multiple internal and external sources to ensure data quality, consistency and fitness for purpose. • Analyse large and complex datasets to identify trends, patterns, anomalies and actionable insights that support business, operational and customer outcomes. • Design, develop and maintain regular reports, dashboards and data products that monitor key performance indicators, customer behaviour, service performance and operational metrics. • Communicate findings and recommendations to technical and non-technical stakeholders through reports, presentations, visualisations and dashboards. • Apply data governance, version control and quality assurance practices to ensure the integrity and reliability of analytical products and datasets. • Collaborate effectively with business stakeholders, subject matter experts, product owners, developers and data scientists to understand requirements and deliver value-focused solutions. • Assist in investigating customer needs and business problems, translating requirements into analytical approaches and data-driven recommendations. • Maintain awareness of emerging trends, tools and techniques in data analytics, data visualisation, machine learning and data engineering and support their application within Bureau systems and operations. Job Location Brisbane / Melbourne / Western Australia If you are interested in the above job opportunity, please apply through the links provided or please feel free to contact Newman for more details. [email protected] 0404 331 242 Due to the nature of this role, this job is open to Australian Citizens only. Candidates who currently hold or able to obtain Federal Government Security Clearances are highly desirable. Calleo is an equal opportunity employer, and we encourage applications from all people including Aboriginal and Torres Strait Islander people. Follow Calleo on LinkedIn and visit our website to keep up to date on all our current job vacancies: www.linkedin.com/company/calleoresourcing www.calleo.com.au

About the role

Senior Data Scientist I Bring your expertise in Python, SQL, machine learning and agentic AI to turn complex challenges into scalable solutions. Shape the future of AI at Zip, building intelligent solutions that solve real customer problems and make a meaningful impact. Collaborate with talented teams across Data, Product and Engineering in Sydney. Write your story with a career at Zip A role in Zip’s Data & AI Squad will see you partner with key stakeholders to deliver reliable, future ready data and AI solutions that power smarter decisions. As a Senior Data Scientist in our Customer Data Science team, you'll take ideas from experimentation to production, using machine learning and emerging AI technologies to improve how we work and the experiences we create for our customers. What you’ll own Lead the design, development and deployment of machine learning and agentic AI solutions that deliver measurable customer and business outcomes. Turn complex problems into practical solutions through advanced analytics, experimentation and statistical modelling. Partner with Product, Engineering and business teams to bring AI innovation to life, while sharing your expertise to help others grow. What you’ll bring to the team Zipsters bring different experiences and perspectives. What matters most is your curiosity, willingness to grow and connection to our values. Even if you don't tick every box, we'd love to hear from you. 5 years' experience in Data Science, with a track record of delivering impactful machine learning and AI solutions. Advanced Python and SQL skills, with strong knowledge of statistical modelling, experimentation and modern data platforms. Hands-on experience building and deploying production ready ML models and agentic AI solutions, including LLMs. Strong problem solving and communication skills, with the ability to turn complex insights into clear recommendations. A mindset that embraces AI and new tools to adapt, learn and grow. An aptitude for identifying and managing risks. Whether you are a People Manager or an Individual Contributor, we are all leaders at Zip, therefore effective risk management is important to how we run our business and part of all our roles. Our values in your DNA: Customer First, Own It, Stronger Together and Change the Game What you’ll get in return As we write this next exciting chapter in our story, we will continue to move at pace and embrace change. For you, this might mean opportunities to learn new skills with hands-on experience, broader responsibilities, or the buzz of seeing your work impact customers faster. Zip is a place where you’ll get out exactly what you put in. When you join the team, we'll do our best to make sure you can be yourself and surround yourself with smart, friendly colleagues and leaders who have your back, so that you can make the big things happen. Zipsters tell us these are just some of the best things about working here. You’ll also receive: 25 days paid leave annually, including birthday leave and quarterly wellbeing days 16 weeks paid parental leave for primary carers, and 4 weeks for supporting carers Family support policies including miscarriage bereavement leave and domestic violence leave Mental health and wellness initiatives, including $299 annual wellbeing allowance, free access for you and family members to our EAP service Sonder, discounted private health insurance, and great rates on fitness sessions through ClassPass 2 days paid volunteering leave per year Access to the Flare Benefits Hub and Novated Leasing for savings across lifestyle, essentials and wellbeing Fee-free Zip products, and discounts with Zip merchant partners Team social events, epic offices, free breakfast daily, and weekly free lunches Be a part of a team that reflects the diversity of our customers We pride ourselves on being a workplace that provides equal opportunities to people of all ages, cultural backgrounds, sexual orientations, gender identities, abilities, veteran status, and everything else that makes you unique. Equally, we’re committed to ensuring our recruitment processes are accessible and inclusive. Please let us know If there are any adjustments that need to be made to ensure you have a fair and equitable experience. And finally…get to know us Zip Co Limited (ASX: ZIP) is a digital financial services company, offering innovative, people-centred products that bring customers and merchants together. Operating in two core markets - Australia and the US, Zip offers point-of-sale credit and digital payment services, connecting millions of customers with its global network of tens of thousands of merchants. We’re proud to be a values-led business and our values - Customer First, Own it, Stronger Together and Change the Game - guide us in everything we do. LI-Hybrid

About the role

AI & General Model Validation (AIGMV) provides independent technical challenge and review of the Group's most important ML and AI models, across business and support units. As a Senior Data Scientist within the team, you will independently review, challenge and validate AI use cases across the Group. You will assess whether AI systems are fit for purpose and operate as intended, and whether the risks they introduce are understood and appropriately controlled. You will design and carry out validation that is proportionate to the risk, covering data, methodology , assumptions and outcomes, and explain your findings clearly to technical and non-technical stakeholders. Model approvals, usage decisions and risk acceptance will draw directly on your analysis and judgement. You will work closely with model developers, product owners and business stakeholders, while remaining independent of them, and provide constructive challenge that supports safe and sustainable AI adoption. You will also help develop the team's AI validation practices, tooling and standards, sharing knowledge and building capability across the team. A courageous mindset and a proven record of self-directed learning, with the curiosity and discipline to stay ahead of fast-changing AI techniques and risks Close attention to detail and a knack for spotting problems Working knowledge of GenAI and agentic architecture, including orchestrators, sub-agents, RAG pipelines, tool use, guardrails, multi-agent routing, memory and persona handling, and LLM-as-a-Judge Hands-on experience designing, building and evaluating AI and Generative AI solutions, including synthetic data generation. Experience in fine-tuning transformer models is also a plus. Experience with current GenAI frameworks and tools like LangChain , OpenAI Agents SDK, LangGraph , Pydantic , Langfuse / HoneyHive or similar platforms. Advanced Python, plus strong experience with GitHub, version control and CI/CD pipelines. SQL, R or TypeScript is a plus. Comfort reading and navigating unfamiliar codebases, reproducing evaluation pipelines, writing test harnesses and inspecting trace data Hands-on experience with AI coding agents, including Claude Code and Codex, and the ability to build and maintain skills, sub-agents, hooks and plugins that automate workflows. Working knowledge of traditional machine learning models, including regression, random forests, XGBoost , and related evaluation methods. Strong communication skills, with the ability to explain complex technical concepts to mixed audiences. Working with us: At CommBank, we're committed to creating an accessible, inclusive and respectful workplace. If you require support or adjustments, please let us know. We welcome applications from people of all backgrounds and we're particularly committed to making a positive difference for Aboriginal and/or Torres Strait Islander Peoples. If you're already part of the Commonwealth Bank Group (including Bankwest, x15ventures), you'll need to apply through Sidekick to submit a valid application. We’re keen to support you with the next step in your career. We're aware of some accessibility issues on this site, particularly for screen reader users. We want to make finding your dream job as easy as possible, so if you require additional support please contact HR Direct on 1800 989 696. Advertising End Date: 29/10/2026

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Job Description As the Staff Data Scientist, you will lead and develop a high-performing data science team, translating complex business challenges into scalable analytical and machine learning solutions that drive measurable commercial outcomes across HelloFresh's brands. This role is based in Chippendale, Sydney (hybrid working environment) and reporting to the Director Data ANZ. You will… Build and develop the data science team by providing technical mentorship, regular coaching, and stretch opportunities. Partner with senior stakeholders across commercial, product, and operations to shape the data science roadmap and communicate progress and outcomes clearly. Drive delivery of high-impact projects including ML models, experimentation frameworks, and analytical solutions. Maintain technical depth by contributing to hands-on work, including reviewing code, validating modelling approaches, and ensuring technical rigour. Champion best practices in experimentation (A/B testing), model development, and deployment. Manage and prioritise the team's roadmap, balancing strategic initiatives with BAU demands. Recruit and retain data science talent, contributing to a collaborative culture. You have… Demonstrated experience leading or managing data science teams with a track record of developing talent and delivering end-to-end projects. Strong hands-on background in Python and PySpark, with experience in Databricks or equivalent cloud-based data platforms. Experience with traditional data science tools and techniques, such as XGBoost and deep learning frameworks. Deep knowledge of A/B testing methodology and machine learning model development, validation, and production deployment. Prior experience as a practicing data scientist capable of engaging credibly at a technical level. You are… An influential partner capable of translating ambiguous business problems into clear data science briefs for senior stakeholders. A mentor who values curiosity, technical rigour, and continuous improvement within a team. Driven by commercial impact, retention, acquisition, and operational efficiency. Familiar with deep learning frameworks and their practical business application (desirable). What you’ll get in return… The chance to have a significant impact in a leading global food technology company Flexible working arrangements Egoless environment, constant learning with room for personal growth Free access to Headspace HelloFresh Academies - internal learning & development A diverse and vibrant international environment, with offices in 18 countries Company discount - 70% off HelloFresh & 40% off Youfoodz Start Date: Immediately available - Can wait a notice period Duration: Permanent full time role Location: Chippendale Head Office - hybrid working environment Salary: Competitive salary & employee benefits LI-Hybrid

About the role

Get recognition and reward working with this a pioneering industry leader, as they embark on a transformative journey! The Data Scientist will drive internal data analytics projects serving all areas of the company. Investigations will vary from short preliminary explorations to deeper, longer-term studies. You will have the opportunity to work side by side with talented, motivated, and intellectually stimulating colleagues who thrive on helping the business solve the most pressing business opportunities. Role & Responsibilities: Regular monitoring and analysing the performance of products, as required, at the macro, rating factor and agent in order to identify opportunities to optimise profitable growth through necessary changes. Statistical and / or machine learning modelling to optimise areas of the business Train, validate, and fine-tune models using large datasets, ensuring high accuracy and reliability. Implement scalable solutions that can handle large volumes of data and adapt to changing business requirements. Continual improvement, monitoring and improvement of existing models Ideally you will have: Expertise and hands on experience with statistical modeling and machine learning software (Python, R, etc.) Advanced SQL Familiarity with Gen AI technologies and a keen interest in staying abreast of industry advancements. Comfort with common applied ML strategies and ensemble methodologies Passionate about storytelling with data. Ability to port analytics outcomes into interactive- or presentation-based media (e.g. Tableau, Power BI). Understand technical basics of data visualization and common pitfalls. Ability to make clean, elegant, informative graphs. Exceptional written and verbal communication skills. Ability to present data science findings to sizable audiences of laymen and specialists alike. Ability to work collaboratively as part of a fast-paced, customer oriented team Desire to use or create standards, consider reusability, and have a long-term view while understanding short-term needs Self-starter who provides ideas and solutions and understands various approaches within the BI discipline Bachelor's degree or above (Areas of study/related study include: Economics, Statistics, Mathematics, Operations Research, and Marketing) Excel in and passionate about working with complex datasets and developing presentations using insights derived from the analytics Highly analytical with strong problem solving and critical thinking skills Passion for using data to solve complex business questions and drive business solutions Mane Consulting specialise in Data & Analytics. For more information on this role or others like this in the market apply below or contact Mark.cornwel-smith @mane.com.au

About the role

Shape your future with a career at Shell Energy. Shell Energy combines deep expertise and true innovation to help our electricity and gas customers navigate a rapidly changing market. We’re seeking people who bring the drive to succeed in providing the energy businesses and households need for today and tomorrow. We’re seeking a Data Scientist to join our high-performing Digital & Technology Solutions team in Melbourne. Reporting to the Lead Data Scientist , this role is responsible for building and maintaining data science-based products that support Shell Energy’s strategy and objectives, improve operational efficiency and drive business growth. You’ll be instrumental in delivering analytics-driven solutions, developing predictive models and supporting data science products that enhance decision-making across the business. With respect, integrity and honesty, responsibilities include: Develop, deploy and maintain data science-based products that support Shell Energy’s strategic objectives and business performance. Design and implement advanced analytics and machine learning models to solve complex business problems, including customer churn prediction, load behaviour analysis, forecasting, demand response analysis and energy optimisation. Work closely with internal stakeholders to understand business requirements and translate them into practical, data-driven solutions. Apply DevOps principles to support the ongoing operation, maintenance and continuous improvement of data science products and services. Participate in product support activities, including troubleshooting and remediation of technical issues to maintain service quality and reliability. Collaborate with data engineers, analysts and broader technology teams to ensure effective delivery of scalable and robust analytics solutions. Monitor, evaluate and improve the performance of models and analytical solutions, ensuring outputs remain accurate and fit for purpose. Contribute to the development of best practices, standards and processes that support data science capability across the organisation. Communicate insights and recommendations effectively to both technical and non-technical stakeholders, supporting informed business decision-making. Here’s what you’ll need to thrive in this role: Tertiary qualification in Data Science, Statistics, Mathematics, Computer Science, Engineering or a related discipline. Demonstrated experience developing and deploying data science, machine learning and advanced analytics solutions in a commercial environment. Excellent programming skills in relevant data science technologies and tools, with experience working across the end-to-end model development lifecycle. Experience applying statistical analysis, predictive modelling and machine learning techniques to solve complex business problems. Knowledge of forecasting, optimisation and behavioural analytics methodologies, ideally within energy, utilities or related industries. Experience working within DevOps environments and supporting products through ongoing maintenance and continuous improvement activities. Strong analytical, problem-solving and critical thinking skills, with the ability to translate complex data into actionable business insights. Excellent stakeholder engagement, communication and influencing skills, with the ability to work effectively across technical and business teams. A commitment to continuous learning, innovation and delivery of high-quality outcomes in a fast-paced environment. Experience in the energy industry, including electricity markets, customer analytics or energy optimisation, would be advantageous. Why join our team Every day, our people bring deep expertise, true innovation to help our customers meet their energy goals. Here are the top reasons why out people choose us ● Purpose that is making a positive impact for our customers’ energy future. It’s not just about selling energy; it’s about delivering outcomes for our customers that empower them to stay ahead in a changing market. ● Work that’s interesting, innovative and high impact. We hope you’ll love the challenge and opportunity to achieve - for our customers and for you. ● People who bring the expertise and drive to succeed. Our team is respectful, inclusive, and supports connection and collaboration. Visit our careers site to find out more. Careers | Shell Energy Read the stories of our incredible people. Meet Our People – About Us | Shell Energy Join us. Together, we can make the difference count. Shell Energy is an Equal Opportunity Employer that values the diversity of its people. We do not discriminate on the basis of gender, race, religion, colour, national origin, sexual orientation, age, marital status, veteran status or disability.

About the role

Category: Academic Level B Salary: $121,329 to $144,079 plus 17% superannuation plus annual leave loading Position: Full -time, continuing Location: Callaghan Campus About the Role As a Lecturer in Data Science and Statistics, you will contribute to high-quality teaching and research within the School of Computer and Information Sciences. You will develop an emerging research profile in Statistics, Data Science and related areas, delivering innovative teaching across undergraduate and postgraduate programs. The role offers the opportunity to build an independent research program, collaborate across disciplines, supervise research students, and contribute to the School's strategic priorities in areas such as artificial intelligence, cybersecurity and advanced computing. You will join a supportive and collaborative academic community committed to excellence, innovation and making a meaningful impact. About You You are a dedicated and forward-thinking academic with expertise in Data Science and Statistics, ready to contribute to a thriving academic environment. You bring experience in statistical modelling, data analysis, research and teaching, and a passion for advancing knowledge through innovative and impactful research. You enjoy collaborating with colleagues, supervising students, and contributing to strategic initiatives in areas such as AI, cybersecurity and advanced computing. To be successful in this role, you will have: A PhD in Data Science, Statistics, Mathematics, or equivalent relevant field. A strong publication record relative to opportunity. Ability to be a highly effective teacher in a tertiary environment, with experience in teaching Statistics, Data Science and related courses at the University level. Demonstrated ability to supervise research students at both undergraduate and postgraduate levels. Demonstrated ability to conduct impactful research to attract industry/government research funding. Willingness and ability to contribute to outreach activities, governance, organisational administration (including course coordination) and initiative/activities within the University. For the full list of essential and desirable selection criteria, please review the Position Description. If you’re ready to join a university that’s committed to equity and excellence, and to contribute to a community that values your expertise and vision, we encourage you to apply. About Us The College of Engineering, Science and Environment (CESE) brings together expertise across engineering, science, technology and the environment to deliver life-ready graduates and impactful research. Home to a diverse range of disciplines, CESE is committed to excellence, innovation and collaboration in teaching, research and industry engagement. The School of Computer and Information Sciences encompasses Mathematics, Data Science and Statistics, and Computing and Information Technology. The School is dedicated to delivering contemporary, industry-relevant education, fostering research excellence, and preparing graduates with the skills to thrive in a rapidly evolving world. Our University The University of Newcastle stands as a global leader with a reputation for excellence in education and research. Ranking in the top 1% of global universities and among the top 40 for impact, our vision is to be a world-leading University for our regions and create a better future for our regions and the globe. Underpinned by this vision and our values of excellence, equity, engagement and sustainability, outlines the University’s commitment to delivering an exceptional student experience and serving our communities. Our Strategic Plan Looking Ahead 2030 outlines the University’s commitment to delivering an exceptional student experience and serving our communities. We are proud to be one of the first two Universities in Australia to achieve SAGE Athena Swan Silver Accreditation for gender equity, diversity, and inclusion (GEDI). We acknowledge the traditional custodians of the lands within our footprint areas and extend respect to Elders past and present. We are committed to strengthening Indigenous higher education and supporting Indigenous students and communities. For more information click here . What We Offer The university offers a comprehensive and inclusive benefits package designed to support employee wellbeing, career development, and work-life balance for all staff, including: Flexible working arrangements 17% superannuation, access to salary packaging options and annual leave loading Generous leave entitlements Wellbeing and support programs that promote mental, physical, and emotional health Career development opportunities For further information on our benefits and perks, please visit our website . How to Apply If viewing this on a job board other than the University's please click ‘Apply’ to be redirected to our website, where you can review the full Position Description and submit your application. Your application must include: Your ORCID ID. A URL link to your University Academic Profile (or equivalent). A Cover Letter and Statement (uploaded as a single PDF): Cover Letter (max. 1 page) outlining your interest in the role and providing details of 3 referees. Statement (max. 4 pages) addressing the Essential and Desirable Criteria, as listed in the position description. Your CV (max. 5 pages) tailored to your discipline Please visit here for a guide on how to apply for a role. It’s important you read this information to ensure you are providing all the requirements of your application. For specific position enquiries, please contact Dr Mahakim Newton, Head of Discipline School of Computer and Information Sciences at [email protected] or on (02) 4921 6850. Our Assessment Process Typically candidates that progress beyond the shortlist stage can expect to undertake the following (minimum) assessment activities as part of the recruitment process: Interview (an ‘in person’ interview will be conducted as part of the process) Referee checks Pre-employment checks as appropriate to the role Our University is committed to creating a safe, respectful, and inclusive environment for every member of our community. This commitment is central to our values and our efforts to build a diverse workforce where everyone can thrive. As part of this, and in alignment with the National Higher Education Code to Prevent and Respond to Gender-Based Violence 2025 , from 1 January 2026, the University will also consider gender-based violence risk factors as part of our recruitment processes. The completion and return of the University’s Gender-based Violence Declaration Form will form part of the pre-employment checks for this position and any offer of employment will be conditional upon review by the University. Our adherence to the Code is about more than compliance—it’s about living our values. Together, we can ensure our University remains a place where respect, safety, and inclusion are non-negotiable. Reasonable Adjustments If you require any adjustments to the recruitment process to support your application, please let us know. This information will help us understand how best to support you and ensure an equitable and inclusive recruitment process. Please be assured that anything you share will be treated respectfully and appropriately. Our goal is to provide the best environment for every candidate to demonstrate their suitable skills and experience. Please reach out to [email protected] if you are experiencing any difficulties or would like to discuss reasonable adjustments. Application close date: Wednesday 11 November 2026 at 11.59pm AEDT We are excited to be Looking Ahead with you! The University of Newcastle is an equal opportunity employer committed to equity, diversity and social inclusion. Women and Aboriginal and Torres Strait Islander candidates are particularly encouraged to apply. The University of Newcastle acknowledges the traditional custodians of the lands within our footprint areas: Awabakal, Darkinjung, Birpai, Worimi, Wonnarua, and Eora Nations. We also pay respect to the wisdom of our Elders past and present. LI-CP1

About the role

Category: Academic Level B Salary: $121,329 to $144,079 plus 17% superannuation plus annual leave loading Position: Full -time, continuing Location: Callaghan Campus About the Role As a Lecturer in Data Science and Statistics, you will contribute to high-quality teaching and research within the School of Computer and Information Sciences. You will develop an emerging research profile in Statistics, Data Science and related areas, delivering innovative teaching across undergraduate and postgraduate programs. The role offers the opportunity to build an independent research program, collaborate across disciplines, supervise research students, and contribute to the School's strategic priorities in areas such as artificial intelligence, cybersecurity and advanced computing. You will join a supportive and collaborative academic community committed to excellence, innovation and making a meaningful impact. About You You are a dedicated and forward-thinking academic with expertise in Data Science and Statistics, ready to contribute to a thriving academic environment. You bring experience in statistical modelling, data analysis, research and teaching, and a passion for advancing knowledge through innovative and impactful research. You enjoy collaborating with colleagues, supervising students, and contributing to strategic initiatives in areas such as AI, cybersecurity and advanced computing. To be successful in this role, you will have: A PhD in Data Science, Statistics, Mathematics, or equivalent relevant field. A strong publication record relative to opportunity. Ability to be a highly effective teacher in a tertiary environment, with experience in teaching Statistics, Data Science and related courses at the University level. Demonstrated ability to supervise research students at both undergraduate and postgraduate levels. Demonstrated ability to conduct impactful research to attract industry/government research funding. Willingness and ability to contribute to outreach activities, governance, organisational administration (including course coordination) and initiative/activities within the University. For the full list of essential and desirable selection criteria, please review the Position Description. If you’re ready to join a university that’s committed to equity and excellence, and to contribute to a community that values your expertise and vision, we encourage you to apply. About Us The College of Engineering, Science and Environment (CESE) brings together expertise across engineering, science, technology and the environment to deliver life-ready graduates and impactful research. Home to a diverse range of disciplines, CESE is committed to excellence, innovation and collaboration in teaching, research and industry engagement. The School of Computer and Information Sciences encompasses Mathematics, Data Science and Statistics, and Computing and Information Technology. The School is dedicated to delivering contemporary, industry-relevant education, fostering research excellence, and preparing graduates with the skills to thrive in a rapidly evolving world. Our University The University of Newcastle stands as a global leader with a reputation for excellence in education and research. Ranking in the top 1% of global universities and among the top 40 for impact, our vision is to be a world-leading University for our regions and create a better future for our regions and the globe. Underpinned by this vision and our values of excellence, equity, engagement and sustainability, outlines the University’s commitment to delivering an exceptional student experience and serving our communities. Our Strategic Plan Looking Ahead 2030 outlines the University’s commitment to delivering an exceptional student experience and serving our communities. We are proud to be one of the first two Universities in Australia to achieve SAGE Athena Swan Silver Accreditation for gender equity, diversity, and inclusion (GEDI). We acknowledge the traditional custodians of the lands within our footprint areas and extend respect to Elders past and present. We are committed to strengthening Indigenous higher education and supporting Indigenous students and communities. For more information click here . What We Offer The university offers a comprehensive and inclusive benefits package designed to support employee wellbeing, career development, and work-life balance for all staff, including: Flexible working arrangements 17% superannuation, access to salary packaging options and annual leave loading Generous leave entitlements Wellbeing and support programs that promote mental, physical, and emotional health Career development opportunities For further information on our benefits and perks, please visit our website . How to Apply If viewing this on a job board other than the University's please click ‘Apply’ to be redirected to our website, where you can review the full Position Description and submit your application. Your application must include: Your ORCID ID. A URL link to your University Academic Profile (or equivalent). A Cover Letter and Statement (uploaded as a single PDF): Cover Letter (max. 1 page) outlining your interest in the role and providing details of 3 referees. Statement (max. 4 pages) addressing the Essential and Desirable Criteria, as listed in the position description. Your CV (max. 5 pages) tailored to your discipline Please visit here for a guide on how to apply for a role. It’s important you read this information to ensure you are providing all the requirements of your application. For specific position enquiries, please contact Dr Mahakim Newton, Head of Discipline School of Computer and Information Sciences at [email protected] or on (02) 4921 6850. Our Assessment Process Typically candidates that progress beyond the shortlist stage can expect to undertake the following (minimum) assessment activities as part of the recruitment process: Interview (an ‘in person’ interview will be conducted as part of the process) Referee checks Pre-employment checks as appropriate to the role Our University is committed to creating a safe, respectful, and inclusive environment for every member of our community. This commitment is central to our values and our efforts to build a diverse workforce where everyone can thrive. As part of this, and in alignment with the National Higher Education Code to Prevent and Respond to Gender-Based Violence 2025 , from 1 January 2026, the University will also consider gender-based violence risk factors as part of our recruitment processes. The completion and return of the University’s Gender-based Violence Declaration Form will form part of the pre-employment checks for this position and any offer of employment will be conditional upon review by the University. Our adherence to the Code is about more than compliance—it’s about living our values. Together, we can ensure our University remains a place where respect, safety, and inclusion are non-negotiable. Reasonable Adjustments If you require any adjustments to the recruitment process to support your application, please let us know. This information will help us understand how best to support you and ensure an equitable and inclusive recruitment process. Please be assured that anything you share will be treated respectfully and appropriately. Our goal is to provide the best environment for every candidate to demonstrate their suitable skills and experience. Please reach out to [email protected] if you are experiencing any difficulties or would like to discuss reasonable adjustments. Application close date: Wednesday 11 November 2026 at 11.59pm AEDT We are excited to be Looking Ahead with you! The University of Newcastle is an equal opportunity employer committed to equity, diversity and social inclusion. Women and Aboriginal and Torres Strait Islander candidates are particularly encouraged to apply. The University of Newcastle acknowledges the traditional custodians of the lands within our footprint areas: Awabakal, Darkinjung, Birpai, Worimi, Wonnarua, and Eora Nations. We also pay respect to the wisdom of our Elders past and present. LI-CP1

About the role

Our client is one of Australia's largest hospitality groups, operating a national portfolio of pubs, bars and event venues. The business has grown largely through acquisition. Each venue is run with a local-first approach, tailored to its community rather than following a single template. About the role The business needs a demand forecasting model for the venues it has acquired in the last 12 months. You will own that build, from approach through to production. The core challenge is limited history. These venues have only a short trading record in the company's systems, and earlier data may sit in different point-of-sale systems or be incomplete. You will need to forecast reliably by drawing on patterns from comparable venues across the wider network, then improve the model as each site's own data builds up. Your forecasts will feed directly into how venues roster staff, order stock and plan trading. Key responsibilities Design and build a demand forecasting model for recently acquired venues, covering revenue, covers and product demand at daily and intraday levels Solve the cold-start problem by using data from comparable venues, hierarchical approaches and pre-trained time series models where they help Bring in external drivers such as weather, public holidays, school holidays, local events, sport and promotions Clean, align and integrate venue data from different point-of-sale and operational systems Deploy the model to production with automated retraining, monitoring and drift detection Set clear accuracy measures and report performance by venue, region and venue type Work with operations, finance and venue managers so forecasts are understood, trusted and used Document the approach so the model can be maintained and extended to future acquisitions Essential skills and experience 5 years in data science, with demand or sales forecasting models built and run in production Strong Python and SQL Hands-on experience with forecasting and ML methods such as LightGBM, XGBoost, Prophet or ARIMA Experience forecasting with sparse, short or patchy history, such as new stores or sites Experience deploying and monitoring models on a cloud platform (Azure, AWS or Databricks) Ability to explain model outputs and limitations to non-technical stakeholders Tertiary qualification in data science, statistics, mathematics, engineering or a related field Desirable skills Hospitality, retail, QSR or other multi-site business experience Hierarchical forecasting (for example network, region, venue, product) Experience with foundation time series models such as Chronos or TimeGPT Databricks, PySpark and MLflow Weather and event-driven demand modelling Promotional uplift or causal impact analysis How to apply If you have the right skillset, please get in contact with Jack or send your resume to [email protected] Halcyon Knights is an equal opportunities employment agency, valuing the contributions made by all people and welcomes applications from people with disability, Aboriginal Australians, people of all ages and from culturally diverse backgrounds.

About the role

Summary: We are seeking a talented and experienced Data Scientist to join our team in the Information and Communication Technology industry. The ideal candidate will be responsible for analysing complex data sets, developing predictive models, and exploring new data sources to inform business decisions. Responsibilities: Analyse large and complex data sets using statistical and machine learning techniques. Develop predictive models to drive growth and inform business decisions. Collaborate with cross-functional teams to identify data-driven solutions to business challenges. Explore new data sources and develop innovative approaches to data analysis. Communicate insights and recommendations to senior leaders and stakeholders. Build and maintain data pipelines and infrastructure. Stay up-to-date with the latest trends and techniques in data science and machine learning. Qualifications: Bachelor’s or advanced degree in Computer Science, Statistics, Mathematics or a related field. Solid experience analysing large and complex data sets using statistical and machine learning techniques. Strong proficiency in Python or R programming languages. Experience with big data tools such as Hadoop, Spark or Cassandra. Strong analytical and problem-solving skills. Excellent communication and presentation skills. Ability to work collaboratively with cross-functional teams. Passionate about technology and innovation.

About the role

Summary: We are seeking a highly skilled Senior Data Scientist to join our team. The ideal candidate will be responsible for analysing complex data sets, developing predictive models, and providing insights to drive business decisions. The Senior Data Scientist will work closely with cross-functional teams to identify opportunities for data-driven solutions and will be responsible for communicating findings to stakeholders. Responsibilities: Analyse large and complex data sets to identify trends, patterns, and insights Develop predictive models using statistical and machine learning techniques Collaborate with cross-functional teams to identify opportunities for data-driven solutions Communicate findings and insights to stakeholders in a clear and concise manner Develop and maintain data pipelines and infrastructure Stay up-to-date with the latest trends and technologies in data science Qualifications: Master’s or PhD in Computer Science, Statistics, Mathematics, or related field 5 years of experience in data science or related field Strong programming skills in Python, R, or similar languages Experience with statistical and machine learning techniques Experience with data visualisation tools such as Tableau or Power BI Strong communication and collaboration skills

About the role

Summary: We are seeking a highly skilled Senior Data Scientist to join our team. The ideal candidate will be responsible for analysing complex data sets, developing predictive models, and providing insights to drive business decisions. The Senior Data Scientist will work closely with cross-functional teams to identify opportunities for data-driven solutions and will be responsible for communicating findings to stakeholders. Responsibilities: Analyse large and complex data sets to identify trends, patterns, and insights Develop predictive models using statistical and machine learning techniques Collaborate with cross-functional teams to identify opportunities for data-driven solutions Communicate findings and insights to stakeholders in a clear and concise manner Develop and maintain data pipelines and infrastructure Stay up-to-date with the latest trends and technologies in data science Qualifications: Master’s or PhD in Computer Science, Statistics, Mathematics, or related field 5 years of experience in data science or related field Strong programming skills in Python, R, or similar languages Experience with statistical and machine learning techniques Experience with data visualisation tools such as Tableau or Power BI Strong communication and collaboration skills

About the role

Build a strong research profile in Data Science and Statistics Inspire students through contemporary, industry-relevant teaching Contribute to a collaborative and innovative academic community Category: Academic Level B Salary: $121,329 to $144,079 plus 17% superannuation plus annual leave loading Position: Full -time, continuing Location: Callaghan Campus About the Role As a Lecturer in Data Science and Statistics, you will contribute to high-quality teaching and research within the School of Computer and Information Sciences. You will develop an emerging research profile in Statistics, Data Science and related areas, delivering innovative teaching across undergraduate and postgraduate programs. The role offers the opportunity to build an independent research program, collaborate across disciplines, supervise research students, and contribute to the School's strategic priorities in areas such as artificial intelligence, cybersecurity and advanced computing. You will join a supportive and collaborative academic community committed to excellence, innovation and making a meaningful impact. About You You are a dedicated and forward-thinking academic with expertise in Data Science and Statistics, ready to contribute to a thriving academic environment. You bring experience in statistical modelling, data analysis, research and teaching, and a passion for advancing knowledge through innovative and impactful research. You enjoy collaborating with colleagues, supervising students, and contributing to strategic initiatives in areas such as AI, cybersecurity and advanced computing. To be successful in this role, you will have: A PhD in Data Science, Statistics, Mathematics, or equivalent relevant field. A strong publication record relative to opportunity. Ability to be a highly effective teacher in a tertiary environment, with experience in teaching Statistics, Data Science and related courses at the University level. Demonstrated ability to supervise research students at both undergraduate and postgraduate levels. Demonstrated ability to conduct impactful research to attract industry/government research funding. Willingness and ability to contribute to outreach activities, governance, organisational administration (including course coordination) and initiative/activities within the University. For the full list of essential and desirable selection criteria, please review the Position Description. If you’re ready to join a university that’s committed to equity and excellence, and to contribute to a community that values your expertise and vision, we encourage you to apply. About Us The College of Engineering, Science and Environment (CESE) brings together expertise across engineering, science, technology and the environment to deliver life-ready graduates and impactful research. Home to a diverse range of disciplines, CESE is committed to excellence, innovation and collaboration in teaching, research and industry engagement. The School of Computer and Information Sciences encompasses Mathematics, Data Science and Statistics, and Computing and Information Technology. The School is dedicated to delivering contemporary, industry-relevant education, fostering research excellence, and preparing graduates with the skills to thrive in a rapidly evolving world. Our University The University of Newcastle stands as a global leader with a reputation for excellence in education and research. Ranking in the top 1% of global universities and among the top 40 for impact, our vision is to be a world-leading University for our regions and create a better future for our regions and the globe. Underpinned by this vision and our values of excellence, equity, engagement and sustainability, outlines the University’s commitment to delivering an exceptional student experience and serving our communities. Our Strategic Plan Looking Ahead 2030 outlines the University’s commitment to delivering an exceptional student experience and serving our communities. We are proud to be one of the first two Universities in Australia to achieve SAGE Athena Swan Silver Accreditation for gender equity, diversity, and inclusion (GEDI). We acknowledge the traditional custodians of the lands within our footprint areas and extend respect to Elders past and present. We are committed to strengthening Indigenous higher education and supporting Indigenous students and communities. For more information click here . What We Offer The university offers a comprehensive and inclusive benefits package designed to support employee wellbeing, career development, and work-life balance for all staff, including: Flexible working arrangements 17% superannuation, access to salary packaging options and annual leave loading Generous leave entitlements Wellbeing and support programs that promote mental, physical, and emotional health Career development opportunities For further information on our benefits and perks, please visit our website . How to Apply If viewing this on a job board other than the University's please click ‘Apply’ to be redirected to our website, where you can review the full Position Description and submit your application. Your application must include: Your ORCID ID. A URL link to your University Academic Profile (or equivalent). A Cover Letter and Statement (uploaded as a single PDF): Cover Letter (max. 1 page) outlining your interest in the role and providing details of 3 referees. Statement (max. 4 pages) addressing the Essential and Desirable Criteria, as listed in the position description. Your CV (max. 5 pages) tailored to your discipline Please visit here for a guide on how to apply for a role. It’s important you read this information to ensure you are providing all the requirements of your application. For specific position enquiries, please contact Dr Mahakim Newton, Head of Discipline School of Computer and Information Sciences at [email protected] or on (02) 4921 6850. Our Assessment Process Typically candidates that progress beyond the shortlist stage can expect to undertake the following (minimum) assessment activities as part of the recruitment process: Interview (an ‘in person’ interview will be conducted as part of the process) Referee checks Pre-employment checks as appropriate to the role Our University is committed to creating a safe, respectful, and inclusive environment for every member of our community. This commitment is central to our values and our efforts to build a diverse workforce where everyone can thrive. As part of this, and in alignment with the National Higher Education Code to Prevent and Respond to Gender-Based Violence 2025 , from 1 January 2026, the University will also consider gender-based violence risk factors as part of our recruitment processes. The completion and return of the University’s Gender-based Violence Declaration Form will form part of the pre-employment checks for this position and any offer of employment will be conditional upon review by the University. Our adherence to the Code is about more than compliance—it’s about living our values. Together, we can ensure our University remains a place where respect, safety, and inclusion are non-negotiable. Reasonable Adjustments If you require any adjustments to the recruitment process to support your application, please let us know. This information will help us understand how best to support you and ensure an equitable and inclusive recruitment process. Please be assured that anything you share will be treated respectfully and appropriately. Our goal is to provide the best environment for every candidate to demonstrate their suitable skills and experience. Please reach out to [email protected] if you are experiencing any difficulties or would like to discuss reasonable adjustments. Application close date: Wednesday 11 November 2026 at 11.59pm AEDT We are excited to be Looking Ahead with you! The University of Newcastle is an equal opportunity employer committed to equity, diversity and social inclusion. Women and Aboriginal and Torres Strait Islander candidates are particularly encouraged to apply. The University of Newcastle acknowledges the traditional custodians of the lands within our footprint areas: Awabakal, Darkinjung, Birpai, Worimi, Wonnarua, and Eora Nations. We also pay respect to the wisdom of our Elders past and present. LI-CP1

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Senior Data Scienctist | Perm | Melbourne | Utilities Background Our client is a growing data and AI consultancy focused on delivering long-term value through advanced analytics, machine learning, and data-driven solutions. By combining diverse datasets, domain expertise, and modern technology platforms, they help organisations solve complex operational and strategic challenges. Approximately 18 months ago, our client expanded into Melbourne, drawn by the city's central role in Australia's energy transition and the opportunity to support critical infrastructure initiatives. Since then, they have partnered with several leading utility providers across the Asia-Pacific region, delivering projects that place data engineering, machine learning, and AI at the heart of infrastructure modernisation. With demand continuing to grow, our client is expanding its local team and seeking talented individuals who are passionate about applying data science to solve real-world challenges. Why Join? Our client combines the technical depth of a high-performing data science and engineering team with access to large-scale, real-world operational challenges. Their teams work across industries including utilities, infrastructure, telecommunications, and retail, helping organisations unlock value from data through advanced analytics and AI. They work on technically ambitious projects using leading cloud and data platforms, including Databricks, and have successfully delivered both machine learning and generative AI solutions into production environments. Team members have the opportunity to work on impactful projects, collaborate with highly skilled peers, and contribute to solving meaningful business and societal challenges. How are they making an impact? In one project, our client helped a major electricity distributor predict which local transformers were most at risk of overload. By using data from a limited number of monitored transformers and combining it with contextual information such as location and customer type, they were able to estimate demand across the wider network without requiring costly sensor installation. This enabled the organisation to prioritise maintenance activities, reduce the risk of equipment failure, and deliver significant infrastructure cost savings. Role Overview Collaborate hands-on with leading utility providers in electricity, gas, and water to solve operational challenges and help shape the future of essential services. Join a high-performing team of data scientists and engineers using high-frequency telemetry, geospatial data, asset registries, and operational logs to generate insights that drive the modernisation of critical infrastructure. Work with cutting-edge technologies including Databricks, machine learning, and generative AI (e.g. autonomous agents) to design and deploy innovative data-driven solutions. Key Responsibilites Tackle complex business and operational problems by applying analytical thinking, domain understanding, and machine learning techniques to deliver measurable value. Collaborate within a growing cross-functional team of data engineers, product managers, and visualisation specialists to design scalable, data-driven solutions and contribute to building strong team practices. Develop robust, production-ready code and ML pipelines using modern DevOps practices, including Git, CI/CD, automated testing, and agile workflows. Contribute ideas that help shape the organisation's AI and machine learning capabilities and strategy across multiple industries. Explore and implement classical and generative AI approaches to build innovative, practical solutions addressing emerging client needs. Benefits Our client offers the stability of an established and growing business combined with the agility and innovation of a specialist data and AI team. Team members benefit from exposure to large-scale, impactful projects while working in a collaborative and supportive environment. Benefits include: Learning and development budget for certifications and courses Hybrid work policy, providing flexibility between office collaboration and remote work Competitive salary Access to leading cloud, data, and AI platforms Ongoing support for learning new technologies, including generative AI and machine learning frameworks Inclusive, collaborative team culture with regular team events and knowledge-sharing opportunities.

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We’re hiring a Solutions Architect (Data Science) to drive technical engagement with Enterprise customers and partners across a variety of industries. In this role, you’ll connect real-world customer workloads to NVIDIA’s hardware and software ecosystem, helping developers and enterprises adopt and scale our platforms. We’re looking for someone with strong technical depth who can serve as a trusted advisor, bridge complex challenges to innovative solutions, and grow into a strategic resource for the customers and partners you support. This is a role that requires a combination of technical authority as well as good experience in managing technical partnerships and enablement with a strong presales focus. This role will help inspire our customers to reimagine, reinvent and operate enterprise business processes using Agentic AI, leveraging the NVIDIA platform. This is a highly technical role that requires deep expertise in generative AI, large language models (LLMs), Ai Frameworks and scalable software engineering practices, but also requires a focus on successfully managing projects and strong personal and organisational skills orchestrating both internal and external relationships with support from the broader ANZ NVIDIA team. The NVIDIA Solution Architecture team is the first line of technical engagement and expertise between NVIDIA and our customer ecosystem. Your duties will vary from trusted advisor and enablement to proof-of-concept demonstrations, driving relationships with key executives and managers to evangelize accelerated computing to leverage AI. Dynamically engaging with developers, scientific researchers, data scientists, IT managers and senior leaders is a meaningful part of the Solutions Architect role and will give you experience with a range of partners and concerns. If you’re excited about applied technology and enabling others to succeed with advanced platforms, we’d love to hear from you What you'll be doing: Becoming an NVIDIA AI expert and enabling developers to adopt NVIDIA Nemo and NIMs for their Generative AI offerings, platforms and client services. Co-design advanced, scalable architectures with Enterprise customers and Partners, defining technical direction, integration milestones, and deployment plans. Closely partner with other Solutions Architects, engineering, product and business teams at NVIDIA to build GenAI full stack solutions for industry vertical and enterprise use cases. Lead technical engagements, helping customers troubleshoot, resolve complex issues, and advocate for their technical needs. Creating or running Proof of Concept and Demos that require presentation skills, explanation of complex topics, writing Python code to execute data pipelines and train AI/DL models and deploy on container-based orchestrators. Document what you know, and guide others. This can vary from building targeted training for partners and other Solutions Architects to writing whitepapers, blogs, and wiki articles, to work through challenging problems with a partner on a whiteboard. Partner with APAC Regional and HQ Engineering, Product and Sales teams to develop, plan best suitable solutions for Partners. Enable development and growth of product features through customer feedback and proof-of-concept evaluations Running NVIDIA Deep Learning Institute and Skills Transfer sessions with Customers, OEM’s and partners around NVIDIA & others HW and SW solutions. What we need to see: Professional, long-term experience as a Data Scientist (focus on AI/DL/ML) developing/supporting customer facing projects experience on computer vision, Conversional AI, or data analytics technologies. BS, MS, or PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, other Engineering or related fields (or equivalent experience) Strong customer-facing or presales/consulting and technical experience and skills with AI/ML/Big Data frameworks assisting them with. 5 overall years of work-related experience in deep learning, data science or software development with knowledge of parallel computing with GPUs Strong development experience with RAG and workflows building Agentic AI applications. Good planning and long-term strategic engagement and orchestration with a broad ecosystem of stakeholders from customer, to internal and external parties. Developer experience with LangChain and LangGraph orchestrating LLMs. Working experience of Orchestration platforms like Kubernetes and datacentre including compute, storage, and networking. Clear written and oral communication skills with the ability to collaborate with management and engineering. Share knowledge with clients, partners and co-workers. You are a self-starter with attitude for growth, passion for continuous learning and sharing findings across the team, with excellent presentation, verbal and written communication skills and you are able to work remotely, planning well with strong partnering with a small team with an attitude for growth, passion for continuous learning and sharing findings across the team Ways to stand out from the crowd: Have experience leading technical teams working with partners and or customers, or consulting/advisor experience in the AI space. AI/Data Science project management, liaising with multiple stakeholders to drive projects, and coordinating resources inside (and outside if relevant) the organization. Proficient developer experience on NVIDIA SDK platform using Nemo and NIM, ML/DL frameworks and MLOps ecosystem of tools and solutions in the cloud and on-prem. Experience with cloud based solution designing, APIs and Microservices, orchestration platforms, storage solutions and data migration techniques Have a willingness and ability to dig into unfamiliar territories to tackle sophisticated problems and be a phenomenal listener. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking individuals in the world working for us. If you're creative and autonomous, we want to hear from you! NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

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Summary: We are seeking a talented and experienced Data Scientist to join our team in the Information and Communication Technology industry. The ideal candidate will be responsible for analyzing complex data sets, developing predictive models, and exploring new data sources to inform business decisions. Responsibilities: Analyze large and complex data sets using statistical and machine learning techniques. Develop predictive models to drive growth and inform business decisions. Collaborate with cross-functional teams to identify data-driven solutions to business challenges. Explore new data sources and develop innovative approaches to data analysis. Communicate insights and recommendations to senior leaders and stakeholders. Build and maintain data pipelines and infrastructure. Stay up-to-date with the latest trends and techniques in data science and machine learning. Qualifications: Bachelor’s or advanced degree in Computer Science, Statistics, Mathematics or a related field. Solid experience analyzing large and complex data sets using statistical and machine learning techniques. Strong proficiency in Python or R programming languages. Experience with big data tools such as Hadoop, Spark or Cassandra. Strong analytical and problem-solving skills. Excellent communication and presentation skills. Ability to work collaboratively with cross-functional teams. Passionate about technology and innovation.

About the role

Data Scientist Brisbane, Queensland / Australia / Sydney, New South Wales / Melbourne Sales – Global Sales and Revenue Operations / Full-time - Permanent / Hybrid apply for this job About Megaport We’re not your typical tech company – and we don’t want to be. Megaport is the global leader in Network as a Service (NaaS), and has transformed the way businesses connect to the cloud, data centers, and each other. We’re publicly listed on the Australian Stock Exchange and partnered with the biggest names in tech like Amazon, Microsoft, Google, Oracle, IBM, and more. Headquartered in Brisbane with a crew of over 600 people spread across Asia-Pacific, Europe, and the Americas, our employees enjoy an environment that is collaborative, supportive, and (actually) fun. Our Team Culture We’re a team of problem solvers, pixel pushers, code slingers, and cloud fanatics. Culture is more than a poster on the wall here – collaboration beats hierarchy, curiosity fuels our growth, and everyone’s voice matters. We take our work seriously, but not ourselves. We work across time zones to execute on our global vision, trust each other to get things done, and never compromise our values for commercial gain. Most importantly, we place our customers at the center of everything we do. We’re committed to increasing representation in the tech industry and welcome applicants from all backgrounds. Don’t meet every requirement? That’s okay. If you’re excited about this role, we encourage you to apply. The Role Megaport is seeking an experienced and business-oriented Data Scientist to help scale advanced analytics and operational intelligence capabilities across the Revenue organization. This Data Scientist will partner closely with Revenue Operations, Data Engineering, Finance, Systems, and Commercial leadership teams to improve forecasting, operational visibility, AI readiness, and data-driven decision making. This role will help build advanced analytics capabilities supporting Sales Operations, Revenue Operations, forecasting, customer insights, operational efficiency, and AI initiatives. The ideal candidate combines strong technical and analytical expertise with the ability to translate complex data into actionable business insights. What You’ll Be Doing Develop predictive forecasting models and pipeline analytics frameworks Analyze sales productivity, customer behavior, operational efficiency, and revenue trends Build scalable dashboards, models, and operational intelligence solutions Partner with Revenue Operations and Finance teams to improve KPI governance and reporting consistency Support AI readiness initiatives through data quality analysis and modeling Collaborate with Data Engineering teams to improve GTM data architecture and integration quality Identify operational inefficiencies and recommend data-driven process improvements Develop analytical frameworks supporting marketplace, channel, and consumption-based business models Support executive decision making through advanced reporting and business analysis Assist with data governance, metric standardization, and forecasting transformation initiatives Build models supporting customer expansion, renewals, and churn analysis What We Are Looking For 5 years of Data Science, Analytics, or Revenue Intelligence experience Strong SQL, Python, and statistical modeling expertise Experience working with large operational and sales datasets Experience building forecasting and predictive analytics models Strong data visualization and dashboarding capabilities Experience partnering with business stakeholders and executive teams Strong understanding of SaaS or technology business models Ability to translate technical findings into business recommendations What We Offer Flexible working environments Birthday Leave, 12 weeks of parental leave (after 12 months continuous service), and 5 days of study leave. Creative, fun, and contemporary work environments Motivated team of industry experts and plenty of learning opportunities Celebrated success with internal awards programs Health and wellness program Generous performance bonus structure If you have any questions, please reach out to Megaport's Talent Acquisition Team at [email protected] NOTE: All Megaport business correspondence is conducted via our business email accounts (@megaport.com). If you have any concerns, please reach out to Megaport's careers team [email protected] directly and we will verify the legitimacy of any communication. Megaport will not ask you to create an account via Microsoft teams, and does not associate with any email accounts under "@megaportau.com". All applications will be treated in confidence. Please see Part 2 of our Privacy Policy to see what information Megaport collects from job applicants, why, and how we store and use it. Note that you’re entitled to know what personal data of yours Megaport holds, to request updates, rectification, and in some circumstances restriction or deletion thereof if you object (you being entitled to withdraw your consent to our holding your information at any time). Please see Part 5 of our Privacy Policy for more details on this and how to contact Megaport's data protection officer if you have any further privacy-related questions. Candidates who meet the selection criteria will be invited to attend an interview. Strictly no Recruitment Agencies. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. apply for this job

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About the Team At DoorDash, the Data Science and Analytics team uncovers insights and translates them into actionable recommendations that drive decisions across the organisation. Analytics is integral to all areas of DoorDash, and this role sits within the global BizOps Analytics team with a specific focus on the Australia/New Zealand (ANZ) markets. About the Role You will be a key BizOps partner, working closely with the Strategy & Operations team and the ANZ Executive Leadership Team to turn data into actionable insights—with a specific focus on all things Merchant. In this role, you will work to identify and prioritise the local opportunities that matter most for Merchants to grow, operate, and monetize their business with DoorDash. This will cover areas such as merchant availability, menu quality, ads, promos, operational excellence, and more — improving outcomes for both Merchants and DoorDash. This is a hybrid role, with 3 days in-office and 2 days remote. You're excited about this opportunity because you will… Be a first-class thought partner to our Strategy & Operations and Executive teams and help them make decisions on what’s next for DoorDash Provide insights to enable our cross-functional team to understand marketplace dynamics, user behaviours, and long-term trends Use quantitative analysis and the presentation of data to see beyond the numbers and understand what drives our business Build full-cycle analytics experiments, reports, and dashboards using SQL, Python, R, or other scripting and statistical tools Identify and measure levers to help move essential metrics and make recommendations Work backwards from understanding and sizing problems to ideating solutions Produce recommendations and use statistical techniques and hypothesis testing and other experimentation techniques to validate your findings. We're excited about you because you have… 2 years of experience in data analytics, consulting, or related quantitative roles and a degree in Math, Physics, Statistics, Economics, Computer Science, or a similar domain. The insight to take ambiguous problems and solve them in a structured, hypothesis-driven, data-supported way Experience leading /owning strategic projects to completion with multiple cross-functional teams Excellent stakeholder management skills, know how to effectively collaborate well with strategy, operations, product, finance and engineering while prioritising competing needs Very experienced with SQL queries, Basic ETL, Regression techniques Proficiency in at least one programming language, preferably Python or R Experience working with experimentation techniques (A/B testing, Causal Inference) and interpreting hypothesis testing. About DoorDash At DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users—from Dashers to merchant partners to consumers. We are a technology and logistics company that started by enabling door-to-door delivery, and we are looking for team members who can help us go from a company that is known as the place you order food to a company that people turn to for any and all goods. DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We're committed to supporting employees’ happiness, healthiness, and overall well-being by providing comprehensive benefits and perks. Our Commitment to Diversity and Inclusion We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel. If you need any accommodations, please inform your recruiting contact upon initial connection. Beware of recruitment scams: DoorDash, Deliveroo, and Wolt will never ask you to pay money or share sensitive financial information during hiring — learn more about our legitimate recruiting process at Recruitment Scam Awareness - DoorDash .

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Summary: The Lead Data Scientist in the Information and Communication tech industry will be responsible for analysing complex data sets, developing predictive models, and leading a team of data scientists to drive business growth and improve user experience. Responsibilities: Data Analysis Predictive Modelling Cross-Functional Collaboration Leadership Innovation Communication Problem-solving Project Management Qualifications: Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, or related field 5 years of experience in data science, machine learning, or statistical analysis Strong programming skills in Python, R, or other relevant languages Experience with data visualisation tools such as Tableau or Power BI Excellent communication and leadership skills Ability to work collaboratively with cross-functional teams Strong problem-solving and project management skills Knowledge of emerging data science tools and technologies.

About the role

Summary: The Lead Data Scientist in the Information and Communication tech industry will be responsible for analysing complex data sets, developing predictive models, and leading a team of data scientists to drive business growth and improve user experience. Responsibilities: Data Analysis Predictive Modelling Cross-Functional Collaboration Leadership Innovation Communication Problem-solving Project Management Qualifications: Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, or related field 5 years of experience in data science, machine learning, or statistical analysis Strong programming skills in Python, R, or other relevant languages Experience with data visualisation tools such as Tableau or Power BI Excellent communication and leadership skills Ability to work collaboratively with cross-functional teams Strong problem-solving and project management skills Knowledge of emerging data science tools and technologies.

About the role

We are seeking a highly skilled and experienced Senior Data Scientist to join our dynamic team. In this role, you will leverage your expertise in data analysis, machine learning, and statistical modeling to drive data-driven decision-making across various projects. You will be responsible for designing and implementing advanced analytical solutions, collaborating with cross-functional teams to understand business needs, and translating complex data into actionable insights. Key Responsibilities: Develop and implement predictive models and algorithms to solve complex business problems. Analyze large datasets to identify trends, patterns, and opportunities for optimization. Collaborate with product managers, engineers, and other stakeholders to define data requirements and deliver impactful insights. Conduct exploratory data analysis and communicate findings to non-technical audiences. Mentor and guide junior data scientists and analysts, fostering a culture of learning and innovation. Stay updated with the latest advancements in data science and machine learning techniques, and apply them to enhance existing processes. Design experiments and A/B tests to validate hypotheses and improve product features. Ensure data quality and integrity by implementing best practices in data management and analysis. Qualifications: Proven experience as a Data Scientist, with a strong portfolio of projects showcasing your analytical skills. Proficiency in programming languages such as Python or R, and experience with data manipulation libraries (e.g., Pandas, NumPy). Strong understanding of machine learning algorithms and frameworks (e.g., TensorFlow, Scikit-learn). Experience with data visualization tools (e.g., Tableau, Power BI) to present findings effectively. Familiarity with big data technologies (e.g., Hadoop, Spark) is a plus. Excellent problem-solving skills and the ability to work in a fast-paced environment. Strong communication skills, with the ability to convey complex technical concepts to diverse audiences. A degree in a quantitative field such as Computer Science, Statistics, Mathematics, or a related discipline; advanced degrees are preferred.

About the role

About Megaport We’re not your typical tech company – and we don’t want to be. Megaport is the global leader in Network as a Service (NaaS), and has transformed the way businesses connect to the cloud, data centers, and each other. We’re publicly listed on the Australian Stock Exchange and partnered with the biggest names in tech like Amazon, Microsoft, Google, Oracle, IBM, and more. Headquartered in Brisbane with a crew of over 600 people spread across Asia-Pacific, Europe, and the Americas, our employees enjoy an environment that is collaborative, supportive, and (actually) fun. Our Team Culture We’re a team of problem solvers, pixel pushers, code slingers, and cloud fanatics. Culture is more than a poster on the wall here – collaboration beats hierarchy, curiosity fuels our growth, and everyone’s voice matters. We take our work seriously, but not ourselves. We work across time zones to execute on our global vision, trust each other to get things done, and never compromise our values for commercial gain. Most importantly, we place our customers at the center of everything we do. We’re committed to increasing representation in the tech industry and welcome applicants from all backgrounds. Don’t meet every requirement? That’s okay. If you’re excited about this role, we encourage you to apply. The Role Megaport is seeking an experienced and business-oriented Data Scientist to help scale advanced analytics and operational intelligence capabilities across the Revenue organization. This Data Scientist will partner closely with Revenue Operations, Data Engineering, Finance, Systems, and Commercial leadership teams to improve forecasting, operational visibility, AI readiness, and data-driven decision making. This role will help build advanced analytics capabilities supporting Sales Operations, Revenue Operations, forecasting, customer insights, operational efficiency, and AI initiatives. The ideal candidate combines strong technical and analytical expertise with the ability to translate complex data into actionable business insights. What You’ll Be Doing Develop predictive forecasting models and pipeline analytics frameworks Analyze sales productivity, customer behavior, operational efficiency, and revenue trends Build scalable dashboards, models, and operational intelligence solutions Partner with Revenue Operations and Finance teams to improve KPI governance and reporting consistency Support AI readiness initiatives through data quality analysis and modeling Collaborate with Data Engineering teams to improve GTM data architecture and integration quality Identify operational inefficiencies and recommend data-driven process improvements Develop analytical frameworks supporting marketplace, channel, and consumption-based business models Support executive decision making through advanced reporting and business analysis Assist with data governance, metric standardization, and forecasting transformation initiatives Build models supporting customer expansion, renewals, and churn analysis What We Are Looking For 5 years of Data Science, Analytics, or Revenue Intelligence experience Strong SQL, Python, and statistical modeling expertise Experience working with large operational and sales datasets Experience building forecasting and predictive analytics models Strong data visualization and dashboarding capabilities Experience partnering with business stakeholders and executive teams Strong understanding of SaaS or technology business models Ability to translate technical findings into business recommendations What We Offer Flexible working environments Birthday Leave, 12 weeks of parental leave (after 12 months continuous service), and 5 days of study leave. Creative, fun, and contemporary work environments Motivated team of industry experts and plenty of learning opportunities Celebrated success with internal awards programs Health and wellness program Generous performance bonus structure If you have any questions, please reach out to Megaport's Talent Acquisition Team at [email protected] NOTE: All Megaport business correspondence is conducted via our business email accounts (@megaport.com). If you have any concerns, please reach out to Megaport's careers team [email protected] directly and we will verify the legitimacy of any communication. Megaport will not ask you to create an account via Microsoft teams, and does not associate with any email accounts under "@megaportau.com". All applications will be treated in confidence. Please see Part 2 of our Privacy Policy to see what information Megaport collects from job applicants, why, and how we store and use it. Note that you’re entitled to know what personal data of yours Megaport holds, to request updates, rectification, and in some circumstances restriction or deletion thereof if you object (you being entitled to withdraw your consent to our holding your information at any time). Please see Part 5 of our Privacy Policy for more details on this and how to contact Megaport's data protection officer if you have any further privacy-related questions. Candidates who meet the selection criteria will be invited to attend an interview. Strictly no Recruitment Agencies. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

About the role

Job Description Data Scientist in Perth: Required Technical Skill Set - Python, R, SQL, shell scripting,, GitHub/SVN, Teamcity or continuous integration tools, Exposure to AWS. Ability to work as part of a multidisciplinary team and develop and maintain relationships with internal and external stakeholders. Assist in the management of sprints and product backlog in an Agile environment. Understanding in applying machine learning, deep learning, artificial intelligence, and/or advanced optimization algorithms. Exposure in Developing data science projects which includes scoping, building, testing, implementation, maintenance, tracking and optimisation of models. Understanding of Techniques such as Time Series analytics, Regression, Confidence Interval, Bayesian and Monte Carlo methods, Chi-square distribution

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Ray White is a household name in Australia and New Zealand, a name synonymous with the property and real estate industry, home lands, mortgages, and insurance. Established in 1902, in the small Queensland country town of Crows Nest, Ray White has evolved into Australasia’s most successful real estate business, now approaching 1,000 individual offices in Australia, New Zealand, and South East Asia. Last year, Ray White sold over $53 billion worth of property. The Data Scientist supports Ray White Group's Economics function through the analysis, modelling and development of large-scale property market datasets and analytical systems. The role is responsible for developing statistical methodologies, data models, automated data pipelines and analytical products that transform complex property data into reliable market intelligence. The Data Scientist works across the full analytical lifecycle, including data acquisition, transformation, modelling, validation, analysis, visualisation and communication of results. Key Responsibilities Statistical Analysis & Modelling: Develop, test, and refine statistical models for price indices, sales trends, and market forecasting across AU & NZ property markets. Data Engineering & Automation: Build and maintain automated data pipelines, integrating internal systems and external APIs to deliver analysis-ready datasets. Market Research & Insights: Conduct quantitative research on emerging real estate trends, providing evidence-based analysis for national media commentary and executive leadership. Stakeholder Collaboration: Translate complex quantitative findings into clear visualisations and actionable insights for non-technical corporate teams, local offices, and journalists. Technical Requirements Core Tech Stack: Strong proficiency in SQL, Python, relational databases, and API integrations. Analytics & Modelling: Solid foundation in statistical analysis, quantitative modelling, and time-series analysis. Data Engineering: Experience with automated data pipeline creation, ETL processing, data quality, and validation systems. Data Visualisation & Reporting: Skill in developing interactive dashboards, automated reporting tools, and visualising property-market datasets. Communication: Proven ability to document technical methodologies and articulate complex analytical findings to non-technical stakeholders. Qualifications & Experience: Degree qualification in economics (or a related quantitative field) and relevant industry experience in real estate or financial markets. Working With Us Develop your career and gain valuable experience within a multifaceted business experiencing consistent growth, and in this role you have the opportunity to help improve the efficiency of our team by identifying and implementing process improvements. We are invested in setting up our people for long-term success, engaging various professional programs, events, and initiative across the year to bring people to their full potential. We are also dedicated to fostering a culture of wellbeing by creating an inclusive and supportive work environment for all. Ready to join a high-performing team that values curiosity, collaboration, and creating a meaningful impact? We'd love to hear from you! Click Apply Now!

About the role

Company Description Let’s create a more sociable future together At Endeavour, we’re totally into what we do. With a portfolio that includes Dan Murphy’s, BWS, ALH Hotels, Pinnacle Drinks and more, we love to bring people together. Together we share our passion for our products and industry; it’s what inspires us to dream big, and continue to create new experiences for our customers and teams across Australia. If you thrive on positive energy, we want to meet you! Job Description As a Data Scientist within our Data Science Chapter, you will play a pivotal role in driving impactful Retail Media model developments and advanced experimentation across agile squads. You will delve deep into complex datasets, leveraging state-of-the-art technologies and cloud platforms to design, build, and deploy end-to-end predictive machine learning models. Joining a collaborative, innovation-led environment, you will shape the future of our data capabilities while turning complex insights into clear, actionable, data-driven solutions for cross-functional stakeholders. Love what you do and leave your mark Hybrid ways of working - Sydney or Melbourne location Leverage cutting-edge AI tools and explore emerging Agentic AI frameworks. Drive the development of high-impact Retail Media models and statistical experimentation within a dynamic, agile squad. Accelerate your career in a supportive community dedicated to continuous learning and data innovation. Sounds good? Read on. Here is a taster of what you can expect in this role: Model Optimisation: Craft and execute data-driven solutions to optimise Retail Media models and experimental frameworks. End-to-End ML: Design, build, test, implement, maintain, and optimise predictive machine learning models end-to-end. Hypothesis Testing: Conduct rigorous hypothesis testing and statistical experiments from initial scoping through to tracking and optimisation. Cross-Functional Collaboration: Partner closely with product, engineering, analytics, and business teams to enhance broader data capabilities. Stakeholder Engagement: Communicate findings and complex technical insights effectively to both technical and non-technical stakeholders. Qualifications Now let’s talk about you: Core Technical Stack: Strong proficiency in Python and SQL, alongside a solid grounding in statistics and experimentation design. ML Model Development : Proven experience developing and deploying machine learning models end-to-end within a modern tech stack. Cloud Data Processing: Hands-on experience processing large-scale data across cloud platforms such as GCP, AWS, or Azure. Modern AI Tools: Proficiency in utilising modern AI productivity tools (e.g., Copilot, Cursor, Claude Code) with a passion for exploring AI innovations. Teamwork & Communication: Excellent communication and teamwork skills, with experience collaborating effectively in remote or hybrid setups. Proactive Mindset: Self-motivated and proactive approach with the ability to work independently, meet deadlines, and drive continuous improvements. Highly regarded (but not essential): Retail Media Expertise: Proven experience in building and optimising predictive models in the Retail Media domain. Agentic AI Frameworks: Capability in designing and implementing Agentic AI solutions utilising frameworks such as ADK, LangChain, or similar frameworks. The benefits are good too! We offer hybrid ways of working An exclusive discount card for our ALH Hotels pubs & accommodation, BWS, Dan Murphy’s and other Endeavour Group brands. Through our partnership with Woolworths, you'll also enjoy discounts at Woolies supermarkets and BIG W As a valued member of the team, your health and wellbeing is our top priority. You will have access to a range of free services to help you live well and support your physical, mental and financial wellbeing Endeavour Group is full of opportunities - use our dedicated learning and development options to grow an idea, yourself, and your career. This is just the start, so dream big Find out more about our range of benefits and discounts here At Endeavour, we value being a workplace where everyone’s welcome - if you meet a number of the requirements (and not all), we encourage you to apply. Additional Information We are together creators With a portfolio that includes Dan Murphy’s, BWS, ALH Hotels, Pinnacle Drinks and more, Endeavour Group is big on sociability. Together we create the moments that bring millions of people together. And together we have more fun, create more opportunities, and score a lot more goals. We’re serious about creating a safe, inclusive and fun place to rock up to where equal opportunity is key, and flexibility is part of how we roll. We’re all about creating a more sociable future - for our customers and each other. If this job excites you - and you’re close-enough on the requirements, reach out, we’d love to hear from you. You can learn more about working with us on LinkedIn or at endeavourgroupcareers.com.au . Our Talent Team and Hiring Leaders kindly request no unsolicited resumes or approaches from Recruitment Agencies. Endeavour Group is not responsible for any fees related to unsolicited resumes. WeAreTogetherCreators ComeAsYouAre DreamBig FeelTheEnergy LeaveYourMark EndeavourGroup

About the role

We are oOh!media (pronounced “oh!” media). oOh!media is the 1 Out of Home company in Australia and New Zealand. We exist to make public spaces better and brands unmissable, proudly leading the market with innovation, creativity, data and results. Our network plays an important role in the communities they are located, creating engaging environments that inform, entertain and inspire, while connecting brands with audiences at scale. We have a unique culture, purpose and set of values that shape how we show up every day. We Win as One. We are Hungry. Always. And we Own It. We are oOh!media, and we are unmissable. About the opportunity: Employment Type: Full-time, Permanent Flexibility: A vibrant, collaborative culture with 4 days in the office and flexibility built in Location: Based in Sydney We are seeking a highly capable Data Scientist to join our team, supporting and extending our pricing capability across machine learning models, analytics applications, pipelines, and automation. In this role, you will partner closely with Pricing & Revenue, Data Science, and cross-functional teams to integrate diverse data sources, develop and evaluate ML models, and deliver data-driven insights that directly influence pricing strategy. You will also have the opportunity to explore emerging AI capabilities and modern data tooling to enhance analytics and drive innovative pricing solutions. What you’ll be doing: Data Integration & Pipelines: Partner with Pricing, Revenue, and Data Science teams to source, integrate, and transform data into modeling-ready assets. Model Development & Testing: Develop, test, and refine pricing models using a range of statistical and machine learning approaches. Analytics Applications & Tools: Build and enhance Python, SQL, and interactive analytics applications that power pricing tools, dashboards, and automated insights. Productionisation & MLOps: Collaborate with Data and ML Engineers to support the productionisation, deployment, and ongoing operation of models and pipelines. Cross-Team Collaboration: Translate complex model outputs into clear analytical findings for both technical and non-technical business stakeholders. What you’ll bring: Core Technical Capability: Proficiency in Python, SQL, statistics, and machine learning modeling, with practical experience analyzing large, complex datasets. Data Science Experience: 2 years of professional experience as a Data Scientist or in a similar applied quantitative role. Model Evaluation & Problem-Solving: Strong problem-solving skills with hands-on experience developing, evaluating, and validating statistical and ML models. Communication & Stakeholder Management: Proven ability to communicate analytical findings clearly and work effectively with cross-functional teams. Desirable Experience (Bonus Points): Exposure to pricing, revenue management, or forecasting; experience with Databricks/PySpark, AWS, model productionisation, automation, or mathematical optimization. Benefits and perks: Modern offices with great amenities and easy transport access Competitive salary and bonus opportunities Career development and learning opportunities to support your growth Generous parental leave and wellbeing support, including EAP access via Sonder Regular team events, social activities, and recognition programs Wellness initiatives and discounts to support your health and lifestyle The opportunity to work with leading brands on high-impact, creative campaigns If you’re curious, ready for a unique challenge, and want to make a real impact, we want to hear from you! Proudly recognised with an AWEI Bronze LGBTQ inclusion badge. At oOh!, we celebrate diversity and are committed to creating an inclusive workplace where everyone feels they belong. We welcome applications from all backgrounds, including Aboriginal and Torres Strait Islander peoples, people with disabilities, LGBTQ individuals and refugees. To be considered, applicants must be Australian citizens or permanent residents with full working rights in Australia, and all offers of employment are subject to employer-funded pre-employment checks including police, reference, and work rights verification, with additional checks such as credit, bankruptcy, drug and alcohol screening, or driver’s licence verification required for some roles.

About the role

We are oOh!media (pronounced “oh!” media). oOh!media is the 1 Out of Home company in Australia and New Zealand. We exist to make public spaces better and brands unmissable, proudly leading the market with innovation, creativity, data and results. Our network plays an important role in the communities they are located, creating engaging environments that inform, entertain and inspire, while connecting brands with audiences at scale. We have a unique culture, purpose and set of values that shape how we show up every day. We Win as One. We are Hungry. Always. And we Own It. We are oOh!media, and we are unmissable. About the opportunity: Employment Type: Full-time, Permanent Flexibility: A vibrant, collaborative culture with 4 days in the office and flexibility built in Location: Based in Sydney We are seeking a highly capable Data Scientist to join our team, supporting and extending our pricing capability across machine learning models, analytics applications, pipelines, and automation. In this role, you will partner closely with Pricing & Revenue, Data Science, and cross-functional teams to integrate diverse data sources, develop and evaluate ML models, and deliver data-driven insights that directly influence pricing strategy. You will also have the opportunity to explore emerging AI capabilities and modern data tooling to enhance analytics and drive innovative pricing solutions. What you’ll be doing: Data Integration & Pipelines: Partner with Pricing, Revenue, and Data Science teams to source, integrate, and transform data into modeling-ready assets. Model Development & Testing: Develop, test, and refine pricing models using a range of statistical and machine learning approaches. Analytics Applications & Tools: Build and enhance Python, SQL, and interactive analytics applications that power pricing tools, dashboards, and automated insights. Productionisation & MLOps: Collaborate with Data and ML Engineers to support the productionisation, deployment, and ongoing operation of models and pipelines. Cross-Team Collaboration: Translate complex model outputs into clear analytical findings for both technical and non-technical business stakeholders. What you’ll bring: Core Technical Capability: Proficiency in Python, SQL, statistics, and machine learning modeling, with practical experience analyzing large, complex datasets. Data Science Experience: 2 years of professional experience as a Data Scientist or in a similar applied quantitative role. Model Evaluation & Problem-Solving: Strong problem-solving skills with hands-on experience developing, evaluating, and validating statistical and ML models. Communication & Stakeholder Management: Proven ability to communicate analytical findings clearly and work effectively with cross-functional teams. Desirable Experience (Bonus Points): Exposure to pricing, revenue management, or forecasting; experience with Databricks/PySpark, AWS, model productionisation, automation, or mathematical optimization. Benefits and perks: Modern offices with great amenities and easy transport access Competitive salary and bonus opportunities Career development and learning opportunities to support your growth Generous parental leave and wellbeing support, including EAP access via Sonder Regular team events, social activities, and recognition programs Wellness initiatives and discounts to support your health and lifestyle The opportunity to work with leading brands on high-impact, creative campaigns If you’re curious, ready for a unique challenge, and want to make a real impact, we want to hear from you! Proudly recognised with an AWEI Bronze LGBTQ inclusion badge. At oOh!, we celebrate diversity and are committed to creating an inclusive workplace where everyone feels they belong. We welcome applications from all backgrounds, including Aboriginal and Torres Strait Islander peoples, people with disabilities, LGBTQ individuals and refugees. To be considered, applicants must be Australian citizens or permanent residents with full working rights in Australia, and all offers of employment are subject to employer-funded pre-employment checks including police, reference, and work rights verification, with additional checks such as credit, bankruptcy, drug and alcohol screening, or driver’s licence verification required for some roles.

About the role

We are currently hiring for Data Scientist and Data Analyst roles. If you are looking for an exciting opportunity to work with cutting-edge technologies, we would love to connect with you! Open Positions: Data Analyst Perform data collection, validation, analysis, and reporting. Design, test, and document processes, SQL queries, and stored procedures. Extract and analyze data from various sources, including databases and external websites. Respond to data inquiries and create both scheduled and ad hoc reports. Strong analytical, organizational, and problem-solving skills required. Experience with relational databases and query/statistical tools preferred. Data Scientist Mine complex data and provide insights to drive business decisions. Design and implement statistical models and data mining techniques (clustering, regression, decision trees, etc.). Work with teams to manage large datasets and develop predictive models. Utilize advanced analytics, machine learning, and AI-driven tools. Ensure compliance with data privacy and industry regulations. Strong analytical and communication skills required.

Senior Data Scientist

About the role