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.
As a Senior Data Scientist, AI Solutions you are responsible for designing and delivering production-grade generative AI applications for some of Australia's largest organisations, taking ownership of solutions from initial design through to client handover.
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), this is an exciting opportunity to join our AI Solutions team in a hands-on technical role.
You will combine deep technical expertise in large language models (LLMs), machine learning, and modern cloud technologies with a consultative mindset, working alongside talented data scientists, engineers, and client teams to solve complex business problems. If you thrive in environments where technical rigour meets real-world impact, this role is for you.
How will you make an impact?
- Technical ownership: Take end-to-end ownership of production-grade GenAI and LLM applications, from initial design through to client handover, using Python and frameworks like LangChain and LangGraph
- Architectural judgement: Make informed decisions on the right approach for each problem, whether classical ML, LLM prompts, workflows or agents, and architect cloud-native solutions on AWS, Azure or GCP
- Solution quality: Design evaluation frameworks and observability metrics, and build the APIs and data pipelines (SQL, DBT, orchestration tools) that keep solutions reliable in production
- Client engagement: Partner with clients and domain experts to understand problems and validate approaches, translating technical concepts for non-technical stakeholders and flagging risks and trade-offs early
- Team and growth: Lead code reviews, mentor junior team members and contribute to our technical standards, while supporting business development through technical scoping, solution design and proposals
The superpowers you'll be bringing to the team:
- Proven AI delivery: 5 or more years of experience in data science, AI/ML development or technical consulting, with a track record of delivering production-grade AI/ML solutions end to end
- Generative AI expertise: Hands-on experience building LLM applications with LangChain, LangGraph or similar, and a strong understanding of how LLMs and transformer architectures work under the hood, so you know when to apply different approaches and make smart architectural decisions
- Engineering excellence: Strong Python skills with solid software engineering practices (testing, code quality, version control), plus hands-on experience with a major cloud platform (AWS, Azure or GCP) and containerisation (Docker)
- Data foundations: Working knowledge of SQL and data pipelines, with orchestration tools such as Airflow or Vertex AI Pipelines and DBT a bonus
- Delivery mindset: The ability to balance technical excellence with pragmatism, navigate ambiguity, manage competing priorities and consistently deliver quality solutions
- Communication: The ability to explain complex concepts clearly to non-technical audiences and build trusted relationships with client teams, ideally with experience in consulting or client-facing delivery
- Bonus: Familiarity with ML algorithms (GBM, GLM) and experimentation frameworks such as A/B testing, and contributions to open source or technical communities
Remember – you might not tick all the boxes, but don’t let that stop you applying. We’re more interested in how you work, your ability to solve problems and think big.
What Could Your Quantium Experience Look Like?
Working at Quantium will allow you to challenge your imagination. You will get to solve complex 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.
Benefits
On top of the Quantium Experience, you will enjoy a range of great benefits that go beyond the ordinary. Some of these include:
- Flexible work arrangements: Achieve work-life balance at your own pace with hybrid and flexible work arrangements.
- Global mobility: As we expand globally, there are lots of exciting opportunities to work abroad with Quantium.
- Remote working: Embrace the opportunity to work outside of your assigned home location for up to 30 days every year (eligibility criteria apply).
Apply now and let's forge a better, more intelligent world together!
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
- 5+ years of experience in data science, AI/ML development, or technical consulting
- Proven track record of delivering production-grade AI/ML solutions end-to-end
- Strong Python programming skills with solid software engineering practices (testing, code quality, version control)
- Practical experience building GenAI/LLM applications using frameworks like LangChain or LangGraph (or equivalent)
- Hands-on experience with at least one major cloud platform (AWS, Azure, or GCP) and containerisation (Docker)
- Solid understanding of ML/AI fundamentals including LLMs and transformer architectures
- Working knowledge of SQL and data pipeline concepts
- Strong communication skills, able to explain complex technical concepts to non-technical audiences
- Experience with data orchestration tools (Airflow, Vertex AI Pipelines) and transformation frameworks (DBT)
- Familiarity with ML algorithms (GBM, GLM) and experimentation frameworks including A/B testing
- Background in consulting or client-facing delivery environments
- Experience mentoring or coaching junior technical team members
- Contributions to open source projects or technical communities
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.
