Lead Data Scientist - AI Technical Solutions
Leads AI solution design and delivery for clients, managing data science teams to build generative AI applications. Focuses on technical leadership, team mentorship, and translating AI capabilities into business solutions.
- Compensation
- Not disclosed
- Location
- Sydney
- Work setup
- Not specified
- Seniority
- Lead
- Employment
- Not specified
- Experience
- Not specified
- Category
- Data science
- Posted
Skills
Must have
- 7+ years of experience in data science, AI, or machine learning solution delivery, with progression to technical leadership
- Deep understanding of large language model applications and practical experience with frameworks like LangChain, LangGraph
- Strong Python programming skills with modern software development practices (testing, CI/CD, cloud-native development)
- Experience leading production-grade AI solutions and ML pipelines using orchestration tools (Airflow, Vertex AI Pipelines, DB)
- Commercial awareness with experience in effort estimation, scoping, and business development
Full description
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.
The Lead AI Tech Solutions is responsible for leading the design and delivery of production-grade AI solutions for clients, managing teams of data scientists to build innovative generative AI applications that address complex business problems.
This is an exciting opportunity to join our AI Solutions team, leading the design and delivery of production-grade AI solutions that address complex business problems. You will combine deep technical expertise in AI and machine learning with people leadership, translating emerging AI capabilities into practical solutions that make a real impact for our clients.
How will you make an impact?
- Technical leadership: Architect and lead the delivery of complex generative AI applications, from design through to production deployment, setting technical standards and championing engineering best practices across the team
- People development: Manage and mentor a team of data scientists, fostering a culture of intellectual curiosity, experimentation, and continuous learning to support career growth and team capability
- Solution quality: Oversee end-to-end AI solution delivery, balancing technical excellence with commercial pragmatism and ensuring robust documentation for client self-sufficiency
- Client engagement: Contribute to pre-sales activities including technical scoping, proposal development, and client presentations, translating complex AI concepts into compelling business value propositions
- Strategic contribution: Help shape the direction of the AI Solutions team, identifying opportunities to develop reusable components and accelerators, and staying connected to the evolving AI ecosystem
The superpowers you’ll be bringing to the team:
- Proven AI leadership: 7 or more years of experience in data science, AI and machine learning solution delivery, or technical consulting, with a demonstrated track record of progression to technical leadership
- Generative AI expertise: Deep understanding of large language model applications and practical experience building with frameworks such as LangChain, LangGraph, or similar
- Engineering excellence: Strong Python programming skills with modern software development practices including testing, CI/CD, code quality tools, and cloud-native development (AWS, Azure, or GCP)