Lead Data Scientist - commercial

This is a important, commerical Lead Data Scientist role within a fast-growing, product-led environment that is redefining how data drives commercial outcomes. The position sits at the intersection of product, analytics and AI, focusing on identifying the right problems to solve, quantifying opportunities and delivering measurable business impact. The Company They are an international, product-led digital platform operating across multiple regions, with a strong focus on customer experience, sustainability and innovation. Data and AI sit at the core of their growth strategy, supported by a modern data stack, strong documentation and executive buy-in. The business is evolving into a more decentralised data model, embedding decision-makers directly within product teams. This creates a highly collaborative environment where data professionals have direct influence on product direction and commercial outcomes. The Role

• Act as the data voice within product teams, shaping decisions from ideation through to delivery
• Identify and define key business problems, with a focus on commercial impact and customer outcomes
• Conduct opportunity sizing, exploratory analysis and deep-dive product analytics
• Design and implement experiments, including A B testing and post-test analysis
• Define success metrics, dashboards and measurement frameworks with product stakeholders
• Translate analysis into clear recommendations that influence investment decisions
• Collaborate with engineering and data teams to build data-driven product features
• Apply light touch data science techniques such as segmentation, forecasting and recommendation approaches
• Use AI and emerging technologies to prototype and enhance product capabilities
• Balance analytical rigour with pace in a fast-moving, ambiguous environment

• Commercial experience using data to drive business decisions and measurable outcomes
• Proven ability to frame ambiguous problems and translate them into structured analytical approaches
• Experience in product/customer analytics, experimentation and statistical analysis
• Confident stakeholder manager with the ability to influence cross-functional teams
• SQL skills and working knowledge of a programming language such as Python or R
• Understanding of modern data platforms and dashboarding tools
• Strong grasp of experimentation design, including hypothesis testing and sample sizing
• Interest in AI and practical experience using data or AI tools to enhance workflows
• A product mindset, with the ability to connect data work to customer experience and revenue impact

• Competitive salary and comprehensive benefits package
• Clear progression opportunities as the data function continues to scale
• Dedicated learning and development support, including structured upskilling and training resources
• Opportunity to work on cutting edge AI and data-driven product initiatives
• Collaborative, inclusive environment with strong data foundations and leadership support