Data Science Jobs in Australia
There are 280 open Data Science jobs in Australia on freehire right now. 73 of them were posted recently. The skills employers ask for most often are ai, data-science and machine-learning.
Most requested skills
- ai 62%
- data-science 53%
- machine-learning 50%
- python 43%
- analytics 37%
- sql 31%
- cloud 23%
- llm 18%
How the work is done
- Hybrid 53 · 19%
- Remote 23 · 8%
- Onsite 7 · 3%
Visa sponsorship offered in 32% of the 22 postings that state a position on it.
Seniority
- Senior 88
- Lead 26
- Principal 18
- Staff 15
- Intern 7
- Junior 2
Who is hiring
- 1000+ employees 70
- 501-1000 employees 10
- 11-50 employees 3
- 1-10 employees 2
- 51-200 employees 2
Senior Gen AI Manager, Data Science
Leads an AI/Data Science team to design, build, and deploy production-grade Generative and Agentic AI solutions for an Australian enterprise, focusing on scalable, secure, and impactful implementations.
Data Scientist Hybrid
Data Scientist at Wesfarmers OneDigital working across the full ML/AI lifecycle—from exploration to deployment—applying machine learning and generative AI to retail data using Python, SQL, Snowflake, and Google Agent Platform.
Senior Data Scientist - AI/ML/NLP Leadership & Pipelines
Lead data science programs at the Australian Taxation Office, delivering research and well-governed data-driven models using AI, ML, and NLP while managing teams.
Hybrid Data Scientist: Build AI‑Ready Data Pipelines
Hybrid Data Scientist in Brisbane blending data engineering, analytics, and applied ML to build scalable, governed AI-ready data pipelines for the AEC sector.
Associate Data Scientist - AI-Driven Product & Data Pipelines
Associate Data Scientist at Culture Amp designing AI-powered features and building robust data pipelines, with a focus on LLM-based enrichment, evaluation frameworks, and ethical, human-centric AI.
Associate Data Scientist - AI & Data Pipelines
An Associate Data Scientist at Culture Amp designing AI-powered features, building data pipelines and evaluation systems, and running experiments to measure product value.
Senior Data Scientist / Generative AI Engineer - Agentic AI
Lead the design and delivery of an agentic digital assistant inside Microsoft Teams for a major financial services client, building LLM-driven features, RAG pipelines, and persona-driven reporting using Python, AWS, and GenAI/LLM technologies.
Senior Data Scientist – Risk Management (Financial Crime Model Validation)
Senior Data Scientist validating financial crime models as the bank transitions from rule-based alerting to ML/GenAI approaches within Risk Management in a heavily regulated environment.
Senior Data Scientist
Senior Data Scientist building predictive models and forecasting frameworks on Azure and Databricks to support workforce planning and economic analysis in the construction industry.
Data Scientist
The Data Scientist builds and deploys ML models, translates business problems into analytical solutions, and communicates insights to non-technical teams while ensuring model reliability and performance.
Data Scientist
Develops data-driven insights and predictive models for clients in insurance, banking, and government sectors, leveraging analytics, machine learning, and visualization to solve complex business problems.
Data Scientist
Data Scientist at a small, PE-backed AI consultancy building and deploying ML models, GenAI systems, and AI agents into production using Python, with government-grade infrastructure projects.
Data Scientist
Build and deploy AI models and analytics to power Australia’s leading retail data ecosystem, turning customer interactions into insights for Wesfarmers’ brands.
Senior Data Scientist (Computer Vision)
This Senior Data Scientist role involves leading applied research in computer vision and video ML for a scaling startup. The position focuses on developing models for object tracking, pose estimation, and temporal analysis using Python and PyTorch.
Senior Data Scientist
The Senior Data Scientist will lead end-to-end data science projects, including forecasting and optimization models, using Python, Azure Machine Learning, and Snowflake. The role involves partnering with business stakeholders to translate model insights into operational decisions and mentoring a distributed team.