Data Scientist Jobs in Australia

Global Analytics at DoorDash Australia drives measurement and strategy across the logistics platform, optimizing dasher earnings, routing, and supply-demand. The Data Scientist partners with product, finance, and engineering to run full-cycle analytics experiments, build dashboards, and deliver actionable insights that shape marketplace dynamics.

Amazon's Supply Chain Optimisation Technology (SCOT) team in Sydney, NSW, Australia is expanding to build analytical foundations that automate and optimise the local supply chain at scale. As a Data Scientist, you will design and deploy machine learning models for inbound volume forecasting, conduct root-cause and causal analyses, and enable automated intelligence using agentic workflows and LLM-based pipelines.

As a Data Scientist within Endeavour Group's Data Science Chapter, you will drive impactful Retail Media model developments and advanced experimentation across agile squads. Day-to-day, you will design, build, test, implement, maintain, and optimise end-to-end predictive machine learning models, conduct rigorous hypothesis testing and statistical experiments, and partner with product, engineering, analytics, and business teams to turn complex insights into actionable solutions.

Participants Supervision – TOP team at ASX builds data-driven automations and monitoring tools to protect market integrity. The Data Scientist applies Python, SQL and ML techniques to develop dashboards, predictive models and reporting solutions, collaborating with supervision staff and cross‑functional stakeholders.

Data Science team at Microsoft builds scalable data products and advanced analytics solutions. The role designs and develops data pipelines, creates robust datasets for modeling, evaluates model performance against business outcomes, and drives best practices for operational AI models.

Data Science Team at Tracksuit builds the core brand tracking platform by turning massive survey data into actionable insights. The Senior Data Scientist runs experiments, designs novel algorithms and causal models, and collaborates with engineers and product managers to launch data products that drive marketing measurement.

Lendi Group is transforming how Australians find, buy, and own property through its #1 digital mortgage brand and proprietary AI platform. As a Senior Data Scientist, you will tackle high-impact business challenges using advanced analytics, machine learning, and agentic AI within an agile environment.

Infosys Consulting AIX-AI & ML team drives AI/ML transformation for enterprise clients. Lead Data Scientist mentors a team delivering AI/ML solutions on Databricks, architecting MLOps pipelines and building LLM applications.

Alcoa's global Enterprise AI & Insight Team within ITAS is hiring a Senior AI & Data Scientist to apply advanced AI and data science techniques to complex business challenges across Operations and Enterprise functions. As a senior hands-on practitioner, you will work across the full AI solution lifecycle—from data exploration and experimentation through model development, deployment, and continuous improvement—partnering with AI Business Analysts, AI Engineers, Data Engineers, Architects, and bu

AWS Networking team drives the availability of Amazon's global network. The Data Scientist defines metrics, builds predictive risk models, and creates dashboards to guide senior leadership on network health and automation impact.

SMSF Squad within Wealth & Private Banking at Commonwealth Bank of Australia builds AI‑driven customer service solutions for the Mass Affluent segment. The Senior Data Scientist designs, builds and productionises GenAI and Agentic AI models, applies LLMs and RAG workflows, and ensures responsible‑AI governance.

As a Data Scientist, you will have the opportunity to manipulate large data sets, integrate diverse data sources, data types and data structures into solutions under management guidance. You will build experience developing analytical approaches to meet business requirements, which involves translating requests into a variety of outputs including visuals, dashboards, use cases, test cases, preparation of training data sets and iterative algorithm development.

Join a Growth squad focused on using data, machine learning and emerging AI capabilities to improve customer experiences within home lending. As a Data Scientist, you’ll develop machine learning and agentic AI solutions that help the business better understand customer needs and support more relevant, informed customer conversations.

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.

As a Data Scientist, you will have the opportunity to manipulate large data sets, integrate diverse data sources, data types and data structures into solutions under management guidance. You will build experience developing analytical approaches to meet business requirements, which involves translating requests into a variety of outputs including visuals, dashboards, use cases, test cases, preparation of training data sets and iterative algorithm development.

AI now touches almost every conversation we have with patients — consultations, medical support, health coaching, AI assistants, and patient experience support. As we scale, we need one standardised way to answer: are these conversations safe, accurate, and high quality?

Make an impact bringing your ideas and solving complex problems in a collaborative, supportive team! Work for a leading property brand impacting millions of users!

In this role, you will lead the University’s student load forecasting capability, delivering reliable projections and scenario analysis that inform enrolment, financial and strategic planning. Working under broad direction from the Director, Insights, Analysis & Reporting, you will take accountability for the design, delivery and quality assurance of institutional forecasting models.

In this role, you'll: Working as part of a team delivering advanced data science analysis, predictive modelling, machine learning, data integration, anomaly detection, and actionable insights that improve how the Transport network is developed and managed, helping reduce congestion, enhance safety and strengthen customer outcomes. This role will see you apply advanced data science methods to large and complex datasets; lead statistical analysis and predictive modelling; design anomaly detection

Build data products and join Qantas’ AI journey from the beginning Permanent opportunity based at our Mascot office (hybrid working with 3 days in the office baseline) Staff Travel Benefits from Day One As a Senior Data Scientist , you’ll play a pivotal role in shaping how data science and AI come to life at Qantas. As part of our data modernisation, we’re building a modern data platform, data products to support our AI ambitions, and AI infrastructure to operate at scale.