Data Scientist - Technical AI Solutions

Who is Quantium? 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 with a unique blend of capabilities across product and consulting services to help businesses unlock value from data and analytics. Quantium partners with the world's largest corporations to forge a better, more intelligent world. We're ALL in on AI — transforming ourselves into an AI-native organisation while helping our clients do the same. With 23 years of domain expertise, proprietary data partnerships, and industry-leading AI adoption (90% weekly active usage), we are at the forefront of what's possible with data. The Role As a Data Scientist in the AI Technical Solutions team, you will contribute to the design and delivery of GenAI solutions for some of Australia's largest organisations. This is a hands-on technical role where you will work on production-grade AI applications — from initial design through to client handover — developing your technical expertise alongside a consultative mindset. You will work alongside experienced data scientists, engineers, and client teams to solve complex business problems using large language models (LLMs), machine learning, and modern cloud technologies. If you are eager to grow your skills in an environment where technical rigour meets real-world impact, this role is for you. What You'll Do 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 What You'll Bring 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…