About the Role
As a Lead Data Scientist within our AI Technical Solutions team, you will lead the design and delivery of production-grade AI solutions for clients, managing and mentoring a team of data scientists to build innovative GenAI applications that tackle complex business problems. This role combines deep technical expertise in AI/ML with people leadership — translating emerging AI capabilities into practical, high-impact solutions whilst building capability within the team.
Responsibilities
- Lead the design and architecture of complex GenAI solutions, evaluating alternative approaches and making informed decisions on when to apply classical ML, LLMs, agents, workflows, or RAG.
- Establish technical standards and evaluation frameworks for production-grade AI development.
- Manage, mentor and coach a team of data scientists.
- Foster a culture of intellectual curiosity, experimentation and continuous learning, whilst supporting career development and building team capability through knowledge sharing and code reviews.
- Oversee end-to-end delivery of AI solutions from design through to production deployment.
- Ensure solutions meet quality standards and are built for production operation, balancing technical excellence with commercial pragmatism.
- Contribute to technical scoping and effort estimation for proposals, participate in pre-sales client presentations, and translate complex AI concepts into clear business value propositions for diverse audiences.
- Contribute to the strategic direction of the AI Solutions team, identify opportunities to develop reusable components and accelerators, and stay connected to the broader AI ecosystem.
Requirements
- 7+ years of experience in data science, AI/ML solution delivery, or technical consulting, with a proven track record leading teams to deliver production-grade AI/ML solutions
- Deep practical experience building with LLM frameworks such as LangChain, LangGraph, or similar, with a strong understanding of transformer architectures, embeddings, and modern AI development patterns
- Expert-level Python programming with modern software development practices including testing, CI/CD, and code quality tools, plus strong experience across cloud platforms (AWS, Azure or GCP) and containerisation
- Demonstrated experience managing and developing data scientists, with the ability to build team capability and create an environment where people can do their best work
- Strong ability to engage both technical and non-technical audiences, with experience in effort estimation, scoping, and understanding the commercial implications of technical decisions
- Tertiary qualifications in engineering, mathematics, computer science, statistics, or a related discipline
Skills
- GenAI
- LLM
- LangChain
- LangGraph
- Transformer architectures
- Embeddings
- Python
- CI/CD
- AWS
- Azure
- GCP
- Containerisation
Location
- Australia
Work Type
- Hybrid
- Flexible work arrangements
- Remote working
Experience Level
- Lead
- 7+ years
Education Level
- Tertiary qualifications in engineering, mathematics, computer science, statistics, or a related discipline
Benefits
- Flexible work arrangements
- Continuous learning opportunities
- Remote working for up to 2 months every year
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 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).
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.
