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 RoleAs 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
- 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
- Exposure to data orchestration tools (Airflow, Vertex AI Pipelines) and transformation frameworks (DBT)
- Familiarity with ML algorithms (GBM, GLM) and experimentation frameworks, including A/B testing
- Some experience in consulting or client-facing delivery environments
- Move fast with care — we hustle with humility and heart, even under pressure
- Reach for remarkable — we respectfully challenge the status quo, with courage, passion, and discipline
- Share our superpowers — we recognise, value, and celebrate what makes each of us unique
- Balance tomorrow with today — we weigh short- and long-term trade-offs thoughtfully in our decision-making
- Drive for impact — we own the responsibility to deliver tangible value to our partners and clients
Working at Quantium will allow you to challenge your imagination. You will get to solve complex business problems using rigour, precision, and by asking great questions — but it also means you can think big, outside the box, and push your problem-solving skills to the max.
By joining the Quantium team, you'll get to:
- Forge your path: So many of our team have moved around different teams or offices. You'll be in the driver's seat, and we empower you to make your career your own.
- Find your kind: Embrace diversity and connect with your tribe — think foodies, dog lovers, readers, or runners.
- Make an impact: Leave your mark. Your contributions resonate, regardless of your role or rank.
On top of the Quantium experience, you will enjoy a range of great benefits that go beyond the ordinary, including:
- Flexible work arrangements: Achieve work-life balance at your own pace with hybrid and flexible work arrangements
- Remote working: Embrace the opportunity to work outside of your assigned home location for up to 30 days every year (eligibility criteria apply)
- Global mobility: As we expand globally, there are lots of exciting opportunities to work abroad with Quantium
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.
Skills Required
- Degree in computer science, mathematics, statistics, engineering, or another quantitative field, or equivalent demonstrated data science or AI/ML capability
- 2-4 years of experience in data science, AI/ML development, or a related technical role
- Solid Python programming skills and understanding of software engineering practices, including testing, code quality, and version control
- Practical exposure to generative AI or LLM applications, including LangChain, LangGraph, or equivalent frameworks
- Familiarity with at least one major cloud platform: AWS, Azure, or GCP
- Understanding of containerisation concepts, including Docker
- Foundational understanding of machine learning and AI concepts, including LLM operation and selection of appropriate approaches
- Working knowledge of SQL and data pipeline concepts
- Clear communication skills and ability to explain technical concepts to non-technical audiences
- Experience contributing to AI/ML solutions end-to-end, ideally in a professional setting
- Exposure to data orchestration tools such as Airflow or Vertex AI Pipelines
- Experience with transformation frameworks such as DBT
- Familiarity with GBM and GLM machine learning algorithms
- Experience with experimentation frameworks, including A/B testing
- Experience in consulting or client-facing delivery environments
What We Do
When expertly harnessed and strategically applied, data can be transformational. Quantium offers an unmatched track record of innovation in analytics and data science since 2002. We combine the best of human and artificial intelligence to power possibilities for individuals, organisations and society. Founded in Australia in 2002, Quantium works with iconic brands in over 20 countries, partnering on their greatest challenges and unlocking breakthrough opportunities.
