Lead 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).

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. You will set technical direction for AI solution delivery, establish best practices for production-grade development, and contribute to business development activities including technical scoping, proposal development, and client presentations.

Acting as a technical leader, you will architect solutions that balance innovation with pragmatism, champion engineering excellence, and help grow the next generation of data scientists at Quantium. How will you make an impact? Technical leadership and solution architecture: 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. People leadership and team 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.

Solution delivery and quality: 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. Business development and client engagement: 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.

Strategic contribution: 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.