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.
Product Analytics has embraced AI-native ways of working across our analytical workflows, and we're now moving from adoption to transformation — systematically advancing our analytical assets through an agentic maturity framework we designed ourselves.
The Role
As a Senior Data Scientist, you are analytically strong and genuinely excited about AI-native ways of working. You'll bring solid foundations in data science, Python, and SQL — and combine them with AI tools to build, transform, and scale analytics solutions.
We operate globally across Australia, India, the UK, and North America. You'll work within cross-functional teams alongside Product Leads, Delivery Managers, and engineers — taking on increased technical responsibility while developing coordination and mentoring capabilities.
How will you make an impact?
Design and build analytics solutions using AI-native workflows from prompt-driven exploration through to agentic code generation — and progress analytical assets along our agentic maturity framework
Critically evaluate AI-generated outputs and develop reusable approaches, Claude skills, and specifications that scale across teams and geographies
Take responsibility for significant components of analytics solutions including models, algorithms, and optimisation approaches, with attention to quality and scalability
Apply advanced data science methods including experimental design, feature engineering, statistical modelling across complex datasets using cloud platforms such as GCP, Azure, and AWS
Create detailed specifications for analytics work that engineering teams can implement, and contribute to technical discussions on approach, effort, and timelines
Support and coordinate technical work with analysts at different experience levels, sharing knowledge and building capability — particularly around AI-native practices
Identify opportunities for workflow transformation and process improvement, and support client project delivery and ongoing engagement requirements
The superpowers you’ll be bringing to the team:
4–7 years of experience in data science, AI/ML development, or technical consulting
Strong Python and SQL programming skills for complex data challenges
Solid understanding of data science methods: experimental design, feature engineering, statistical modelling, and model development — with practical commercial application
Familiarity with software engineering practices including version control, testing, documentation, and deployment workflows such as CI/CD pipelines and containerised environments
Hands-on experience with at least one major cloud platform (AWS, Azure, or GCP)
Strong communicator — able to explain complex technical concepts clearly to non-technical audiences
Interest in agentic development patterns and comfort working in a team where AI-native methods are the default, not the exception
Strong problem-solving approach with the ability to work independently and collaboratively across diverse, distributed teams
Experience using AI tools (Claude, ChatGPT, GitHub Copilot, or similar) in your work or studies or a compelling demonstration of rapid learning and genuine enthusiasm
Strong understanding of ML/AI fundamentals including how LLMs work, transformer architectures, and when to apply different approaches
Remember – you might not tick all the boxes, but don’t let that from stopping 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…