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About the Role
As a Data Scientist in the AI Technical Solutions team, you will contribute to the design and delivery of GenAI solutions for large Australian organisations. This is a hands-on technical role where you will work on production-grade AI applications, developing your technical expertise alongside a consultative mindset.
Responsibilities
- Contribute to building production-grade GenAI and LLM applications using Python and modern AI frameworks (e.g. LangChain, LangGraph)
- Work with cloud platforms (AWS, Azure, or GCP) and containerisation tools to support the delivery of AI solutions
- Apply a range of AI approaches under guidance — from classical ML through to LLM prompts, workflows, and agents
- Support the design of evaluation frameworks and observability metrics to ensure solution quality and performance
- Develop APIs and build data pipelines using SQL, DBT, and orchestration tools
- Collaborate with clients and domain experts to understand problems, validate approaches, and communicate technical concepts clearly
- Participate in code reviews and contribute to team technical standards
- Identify and communicate technical risks and trade-offs clearly and proactively
Requirements
- A degree in a quantitative field such as computer science, mathematics, statistics, engineering, or equivalent demonstrated capability in data science or AI/ML
- 2–4 years of experience in data science, AI/ML development, or a related technical role
- Solid Python programming skills with an appreciation for good software engineering practices — testing, code quality, and version control
- Some practical exposure to GenAI/LLM applications, including frameworks such as LangChain, LangGraph, or equivalent
- Familiarity with at least one major cloud platform (AWS, Azure, or GCP) and an understanding of containerisation concepts (Docker)
- A foundational understanding of ML/AI concepts, including how LLMs work and when to apply different approaches
- Working knowledge of SQL and data pipeline concepts
- Clear communication skills — able to explain technical concepts to non-technical audiences
- Experience contributing to AI/ML solutions end-to-end, ideally in a professional setting
Skills
- GenAI
- LLM
- Python
- LangChain
- LangGraph
- AWS
- Azure
- GCP
- Docker
- SQL
- DBT
- ML
- AI
Location
- Australia
Work Type
- Hybrid
- Flexible work arrangements
- Remote working
Experience Level
- 2-4 years
Education Level
- Degree in a quantitative field (computer science, mathematics, statistics, engineering) or equivalent demonstrated capability
Benefits
- Flexible work arrangements
- Remote working (up to 30 days per year)
- Global mobility opportunities
About the Company
- Quantium is a world leader in data science and artificial intelligence, established in Australia in 2002.
- Quantium is a global team of more than 1,200 people across 14 locations.
- Quantium partners with the world's largest corporations to forge a better, more intelligent world.
- Quantium is transforming into an AI-native organisation and helping clients do the same.
- Quantium has 23 years of domain expertise, proprietary data partnerships, and industry-leading AI adoption (90% weekly active usage).
Equal Opportunity
- Quantium’s recruitment process involves the collection and use of personal information, see our Candidate Data Collection Notice for more information. This provides information on how we collect, use & store your personal information, including potential disclosure to our majority shareholder, Woolworths Group Limited.