Data Scientist Jobs in Victoria, Australia

Data Scientist role at Caterpillar focuses on delivering high‑quality, data‑driven insights to support business decision‑making and drive ALI product adoption across dealer network. Responsibilities include leading large‑scale data gathering, processing, and modelling initiatives; demonstrating strong project management; exploring advanced analytics such as NLP, text analysis, and machine learning; defining analytical requirements; presenting insights via data visualisation; researching data model optimisation; managing competing priorities.

AI/ML and Innovation team within Data, AI Tech and Delivery at AGL Energy builds advanced analytics and machine learning solutions to drive better decision‑making across the business. As a Data Scientist you will prepare and analyse large datasets, develop and evaluate ML models, and collaborate with architects and platform engineers to deploy solutions into production.

Data Science Chapter at AGL Energy focuses on leveraging advanced analytics and machine learning to drive sustainable energy solutions. The Data Scientist develops predictive and optimisation models, transforms large datasets into actionable insights, and partners with Product, Commercial, Technology and Analytics teams to solve high‑impact business challenges.

Data & Analytics team at Equifax focuses on turning large, diverse data sets into actionable insights for risk, fraud, and recommendation solutions. The Data Scientist prepares and analyzes complex data, builds predictive models, and visualizes findings to support business decisions.

Pricing & Demand Optimisation team at VicRoads builds advanced pricing science, demand forecasting and valuation models for custom licence plates. The Data Scientist designs and deploys statistical and machine learning solutions, collaborates with product, finance and digital teams to turn complex data into actionable revenue insights, and ensures model explainability and governance.

People Analytics Chapter at Commonwealth Bank of Australia builds data science and AI solutions to improve workforce decision‑making and employee experiences. The role develops, evaluates and deploys ML and Generative AI models, analyses large workforce datasets, and partners with HR and business stakeholders to translate challenges into analytical opportunities.

Equifax Data & Analytics team builds data-driven solutions to support risk assessment and fraud detection. As a Data Scientist you will prepare datasets, develop predictive models and analytical solutions, and visualize findings for management.

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.

Data Scientist at nbn co limited builds advanced analytics and machine learning solutions to drive Australia’s digital future. The role designs scalable models, partners with stakeholders, and integrates data products into production, ensuring reliability and performance.

Kasada’s Account Intelligence team builds predictive defenses to stop fraud and malicious automation. The Data Scientist leads end‑to‑end model development, from data exploration to production deployment, partnering with engineering, research, and product to keep detection accurate and explainable.

Data Scientist in RMIT’s Data & Analytics team, building end‑to‑end analytics solutions that support university decision‑making. Works on large language models, semantic search and data pipelines, partnering with stakeholders to uncover new use cases.

Data Scientist role at Commonwealth Bank of Australia focuses on leveraging advanced analytics and AI to solve business challenges. The team partners across the bank to build data-driven solutions, from data preparation to model deployment and monitoring.

Data Scientist at Accenture responsible for designing, building, and deploying data‑driven solutions using advanced analytics, machine learning, and data visualisation tools to generate actionable insights. Works with stakeholders to extract and interpret large datasets from diverse sources, ensuring compliance with relevant standards and regulations to support evidence‑based decisions.

As a Data Scientist specializing in Quantitative Trading NLP, you will develop algorithmic trading strategies using natural language processing techniques. Your role involves designing machine learning models, analyzing financial data, and collaborating with trading teams to optimize investment decisions.

Data Scientist role at REA Group’s PropTrack team focuses on advancing property insights through AI and machine learning. The position is permanent full‑time and based in Sydney, Brisbane, or Melbourne, with an on‑site work model.

Data Scientist role at Bunnings Group Limited (AU) focuses on advancing the company's AI transformation. The position is part of the Data, AI and Loyalty Team, designing, building, deploying and operationalising machine learning models that drive business value across retail operations.

Data Science team at Djamo builds the credit scoring and fraud detection infrastructure that powers financial inclusion across Africa. The senior data scientist defines technical strategy, designs and deploys production ML models, sets standards, and mentors peers while partnering with Risk, Engineering and Product leaders.

Data Science team at Culture Amp builds AI‑powered features for its employee experience platform. The Associate Data Scientist will design solutions, develop data pipelines, LLM enrichment processes, and evaluate models to drive product impact.

Data and AI team at MYOB builds AI-driven features that empower small businesses. The Senior Data Scientist leads end‑to‑end development of customer‑facing ML/AI and LLM solutions, from hypothesis and prototyping through MVP, scaling, and live A/B testing, while championing responsible AI and mentoring the team.

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.