Data Science Manager-Commercial
At Super, data isn't a support function — 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. As Data Science Manager, you'll lead the analytical function that helps our commercial teams understand what's working, why, and what to do next. You'll own the insights agenda end to end, and what you create will shape strategies across markets and influence decisions at the highest level.
What sets you apart
Insight-First Mindset: You don't stop at describing what happened — you dig into why, and you come with a clear point of view on what the business should do about it
Experimentation Champion: You treat A/B testing and causal inference as standard practice rather than a nice-to-have, and you build the frameworks that make this scalable across the organisation
Commercial Acumen: You understand how analytics connects to business outcomes and can translate complex findings into recommendations that stick with senior stakeholders
Talent Developer: You build high-performing analyst teams, setting clear objectives, managing delivery and creating space for growth
What the role involves
Analytics & Insight Delivery
Partner with commercial teams to define business strategies grounded in data, analysing complex datasets to detect trends, identify opportunities and surface insights that help business leaders improve their strategies
Develop metrics frameworks and insight communications that standardise reporting, define KPIs across markets and inform market priorities, initiative planning and performance reviews
Experimentation & Advanced Analytics
Design and own the experimentation framework, using A/B testing and causal inference to ensure key business decisions are backed by rigorous evidence
Apply advanced analytical concepts and AI tools to design the right solution for a given business problem — not just the most obvious one — scaling analytical output and embedding smarter ways of working across teams
Cross-Functional Collaboration
Collaborate with central Data Engineering, BI and Data Products teams to develop solutions that enable self-service analytics, increase data literacy and free analysts to focus on higher-impact problems
Act as the bridge between business requirements and data capabilities, implementing practical, reliable solutions or working cross-functionally to action them
Team Leadership & Development
Set clear and compelling objectives for the analytics and insights team you lead, drawing on your understanding of company strategy and the areas you support
Prioritise team workload, manage key deliverables and timelines and allocate resource efficiently, whilst promoting a culture of analytical rigour, curiosity and continuous improvement
What we are looking for
Bachelor's degree in Statistics, Mathematics, Economics, Computer Science or a related quantitative field
8+ years' experience in analytics or insights, including 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 presenting 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 the 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