Data Science Manager

Data Science Manager

Data isn't a support function at Super — it sits at the heart of every major decision we make, with our data insights team operating at the intersection of product, commercial, and marketing strategy. We're looking for a Data Science Manager to lead the analytical function that helps our commercial teams understand what's working, why, and what to do next, owning the insights agenda end-to-end — from defining KPIs and building metrics frameworks, to running experiments that test strategic bets, to developing a team that brings rigour and curiosity to everything they do.

What the role involves

Analytics & Insight Delivery

• Partner with commercial teams and analyse complex datasets to shape data-driven strategies and surface actionable insights
• Build metrics frameworks and standardise reporting to define KPIs across markets

Experimentation & Advanced Analytics

• Design and own the experimentation framework, including A/B testing and causal inference, to ground key decisions in rigorous evidence
• Apply advanced analytical techniques to identify the most effective solution for each business problem

Cross-Functional Collaboration

• Collaborate with Data Engineering, BI, and Data Products teams to enable self-service analytics and free analysts to focus on higher-impact work
• Act as the bridge between business requirements and data capabilities to deliver practical, reliable solutions

Team Leadership & Development

• Set clear objectives for the analytics and insights team and manage delivery against them
• Prioritise workload and foster a culture of analytical rigour and curiosity

What we are looking for

• Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, or a related quantitative field
• 8+ years of experience in analytics or insights, with at least 2 years in a people management role
• Strong SQL skills, with the ability to independently extract, manipulate, and analyse large datasets
• Proven experience using data to influence commercial strategy and present findings to senior stakeholders
• Hands-on experience designing and analysing A/B tests and applying causal or statistical methods
• Experience developing KPI frameworks and standardising reporting across business areas or markets
• Demonstrated ability to translate complex analytical findings into clear recommendations for non-technical audiences

Nice to have

• Master's degree in a quantitative field
• Familiarity with Tableau or similar BI tools
• Experience in betting, gaming, or iGaming industry
• Proficiency in Python or R for analytical work
• Experience with Snowflake or modern data stack tools
• Familiarity with AI/ML techniques and their practical business applications