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
Staff AI Data Scientist: Agentic AI Leader
Lead the design and deployment of LLM-driven agentic AI systems that autonomously plan, decide, and act at enterprise scale.
Lead Data Scientist – AI, Machine Learning
Lead a team to design and deploy AI/ML models, including generative AI and computer vision, using Azure AI services and Python, while establishing MLOps pipelines for enterprise-scale solutions.
Summer Intern Program: Technology & AI - Engineering | Data Science & AI (Nov 2026)
Build AI-powered banking features and secure systems for Australia’s largest bank, working with ML/AI, software, and cybersecurity teams on real customer products.
Applied Data Scientist & ML Platform Engineer
Builds and deploys ML models to turn subsurface data into actionable insights using Python, cloud platforms, and frameworks like TensorFlow/PyTorch.
Senior Data Scientist: Applied AI & LLM Lead
Lead the design, build, and deployment of ML/LLM systems for enterprise clients, mentor junior data scientists, and drive responsible AI practices in a fast-paced product environment.
Senior Data Scientist, Applied AI & Proactive Intelligence
Build and optimize ML models for proactive intelligence using Python, TensorFlow, PyTorch, and scikit-learn, collaborating with engineers to deploy models at scale.
Senior Data Scientist — Applied AI & LLM Solutions
Design, build, and deploy advanced ML/LLM solutions for enterprise problems, mentor junior scientists, and shape responsible AI strategy in a product-focused team.
Senior Data Scientist — Applied AI & LLM Leader
Lead the design, build, and deployment of LLM-driven machine learning systems for enterprise clients while shaping AI strategy and mentoring junior data scientists.
Data Scientist (Graph DB)
Builds enterprise knowledge graphs and AI solutions using Neo4j or Amazon Neptune to model complex data relationships, metadata, and lineage for analytics and generative AI.
Data Science & AI Engineering Lead
Lead a team to design and deploy AI and data-science solutions that improve healthcare services, using Python, ML frameworks, and cloud platforms.
Staff AI Data Scientist: Agentic AI & LLM Systems
Lead the design and deployment of agentic AI systems and multi-step reasoning models for enterprise use cases, mentoring engineers and shaping AI governance.
Data Scientist / AI Engineer
Build production-grade AI agents and LLM-enabled systems on Microsoft Azure, designing reasoning, planning, and tool-use workflows for enterprise-scale public-sector solutions.
Staff Data Scientist - AI
Design and deploy advanced AI agents and autonomous workflows for global enterprises, leveraging LLMs, multi-step reasoning, and MLOps at scale.
Principal AI & Data Science Leader - Hybrid
Lead AI and data-science teams to design and deliver large-scale machine-learning solutions for enterprise clients, while managing stakeholders and growing internal AI capability.
Lead AI & Data Science Principal Consultant
Lead AI and data-science engagements, designing and delivering production-grade AI solutions for enterprise clients while mentoring teams and advising executives.
Senior AI & Data Science Consultant - Enterprise Impact
Leads enterprise AI and data-science projects, designing ML/GenAI solutions and guiding clients from problem framing to production deployment to drive measurable business impact.
Senior Data Scientist, ML, NLP, GenAI, Agentic AI
Build and deploy GenAI, Agentic AI, NLP, and ML models to transform customer and adviser experiences in wealth management at a major bank.
Principal AI & Data Science Architect
Lead AI projects from discovery to production, mentor teams, and scale AI capabilities for global initiatives in a hybrid role.