Impress employers and recruiters.
Choose from hundreds of resume examples.
Impress employers and recruiters.
Choose from hundreds of resume examples.
Tailor your resume to this Senior Data Scientist - Product Analytics role.
Rezi rewrites your resume against Quantium's job description. Free.
Tailor your resume to this Senior Data Scientist - Product Analytics role.
Rezi rewrites your resume against Quantium's job description. Free.
Don't guess if your resume is good enough.
See how it scores against the Senior Data Scientist - Product Analytics posting at Quantium — free, in seconds.
Don't guess if your resume is good enough.
See how it scores against the Senior Data Scientist - Product Analytics posting at Quantium — free, in seconds.
About 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. 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.
Responsibilities
- 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
Requirements
- 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
Skills
- Data Science
- AI/ML Development
- Technical Consulting
- Python
- SQL
- Experimental Design
- Feature Engineering
- Statistical Modelling
- Model Development
- Version Control
- Testing
- Documentation
- CI/CD Pipelines
- Containerised Environments
- AWS
- Azure
- GCP
- Communication
- Problem-Solving
- AI Tools (Claude, ChatGPT, GitHub Copilot)
- LLMs
- Transformer Architectures
Location
- Australia
- India
- UK
- North America
Work Type
- Hybrid
- Flexible work arrangements
- Remote working (up to 30 days per year)
Experience Level
- Senior
- 4-7 years
Benefits
- Flexible work arrangements
- Continuous learning opportunities
- Remote working (up to 30 days per 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.
- 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.
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.