Product / Commercial Data Scientist

At Super Technologies, data isn't a support function — it's at the heart of every major decision we make. As a Product / Commercial Data Scientist, you'll work at the intersection of product, commercial, and marketing strategy. Your analyses won't sit in slide decks; they'll directly inform how millions of customers engage with our products.

Be the Decision Engine

• Run deep-dive analyses into customer behaviour, product usage, and commercial performance to uncover the causal drivers behind key trends, not just surface-level metrics

Shape Strategy with Data

• Inform product roadmaps, commercial tactics, and marketing strategies by framing the right questions, running experiments (including A/B testing and causal inference), and delivering insights that drive key decisions

Automate Intelligence

• Define Metrics and KPIs, build dashboards and develop re-useable frameworks that help teams across Super make smarter, faster, data-driven decisions

Partner Across the Business

• Collaborate with Product Managers, Commercial leads, Engineers, Designers, and Marketers, bringing analytical rigour to day-to-day decisions

Tackle Ambiguity

• Translate business questions into sharp analytical problems, bringing structure to fast-moving projects

• 2–4 years of relevant experience in analytics and/or product data science roles, ideally in product or commercial domains, with a track record of turning analysis into clear recommendations
• SQL fluency (Snowflake) as a non-negotiable foundation, with a solid grounding in statistical/experimental methods and comfort with storytelling with data various using tools (Tableau)
• Proficient in using AI tools (Claude/Gemini) to accelerate analytics, coding, experimentation, and insight generation, with strong judgment to validate outputs and ensure accuracy.
• Degree in Data Science, Statistics, Economics, Computer Science, Mathematics, or a related quantitative field — or equivalent work experience

Skills & mindset

• The ability to transform complex analyses into clear, compelling narratives for both technical and non-technical stakeholders, making data accessible and actionable for decision-making
• Good commercial and product instincts: connecting data outputs to business outcomes, product design, and customer behaviour rather than treating analysis as an end in itself
• A bias for impact: orienting work around driving measurable change rather than model perfection, with success measured by whether analyses move the needle
• Comfortable framing and running well-defined analyses independently, whilst knowing when to bring a manager or senior data scientist in on more ambiguous or cross-functional questions

We are a global technology group, dedicated to building the future of entertainment and fan-centric experiences. With commercial markets in Brazil, Belgium, Poland, Romania, Greece and Serbia, and a network of offices across Spain, Croatia, Malta, Gibraltar, the Netherlands and the UK, we are a truly international organization. Our purpose at Super has evolved from sports and betting into creating the platform that stretches into the wider world of technology-driven entertainment. With a growing and diverse team of more than 5,000 people, we create immersive, responsible, and personalised experiences for millions of customers worldwide.

Everything we do at Super is rooted in doing what is right: for customers, for each other, and for our long-term vision. Our Culture Manifesto is our North Star. It captures our purpose, mission, and the six core beliefs that shape how we think, make decisions, and act every day. Want to explore our culture in more detail? Visit our careers page: super.xyz/careers 

Super is committed to the highest standards of compliance, safety, and responsibility. As such, we are active members of the International Betting Integrity Association (IBIA) and the European Gaming & Betting Association (EGBA).

At Super, we operate as a high-performing team. We hire and grow talent based on ability and potential, regardless of background and identity because we know diverse perspectives, drive better performance.