Head of Data Science

Head of Data Science

A successful Head of Data Science should have:

• Proven experience leading and developing high-performing Data Science teams within a commercial environment.
• Strong track record of delivering data science, machine learning, and analytics solutions that generate measurable business value.
• Demonstrated ability to take products and projects from concept through to implementation, adoption, and ongoing optimisation.
• Excellent stakeholder management skills, with experience influencing senior leaders and collaborating across business, technology, and operational teams.
• Strong commercial awareness, with the ability to prioritise initiatives based on business impact, return on investment, and strategic objectives.
• Experience building Data Science capabilities, operating models, and scalable ways of working within growing organisations.
• Exceptional problem-solving and decision-making skills, with a proven ability to remove obstacles and drive projects to successful delivery.
• Deep technical expertise in Data Science, machine learning, predictive analytics, and modern data technologies, combined with the ability to communicate complex concepts in a clear and practical way.

• Competitive salary ranging from £110,000 to £140,000, dependent on the level of experience.
• Comprehensive benefits package.
• Permanent position based in London.

Head of Data ScienceThe Head of Data Science will lead a high-performing team, delivering data-driven solutions that create commercial value and solve complex business challenges. You'll drive initiatives from concept to implementation, remove delivery barriers, and shape the organisation's data science capability and strategy.

• Lead, develop and mentor the Data Science team, building a high-performing function that delivers measurable business impact.
• Define and execute the Data Science strategy, ensuring alignment with organisational goals and commercial priorities.
• Drive the delivery of data science products and solutions from concept through to implementation and adoption.
• Partner with business leaders to identify opportunities where data science can solve problems, improve performance and create value.
• Lead cross-functional teams, bringing together data, technology, operations and business stakeholders to deliver successful outcomes.
• Remove project barriers and delivery bottlenecks, ensuring initiatives are prioritised effectively and executed at pace.
• Establish scalable operating models, governance frameworks and ways of working that improve productivity, quality and delivery.
• Manage stakeholder relationships, resource planning and team growth, ensuring the Data Science function remains a trusted partner to the wider business.

• Shape and scale a growing data science function.
• Work at the intersection of data, innovation, and business strategy.