Job Description
Head of Data Science and Strategy - London, Hybrid
As Head of Applied Data Science & Strategy, you’ll drive the strategic direction of applied analytics, modelling, and data governance. You will lead a multi-disciplinary team, mentor future leaders in data, and be a visible champion for innovative and responsible data use across critical sectors.
Key Responsibilities
Set and evolve the data science and modelling strategy across transport, infrastructure, resilience, and related domains
Provide hands-on technical leadership for complex, often ambiguous, data projects
Collaborate with partners and clients to turn data challenges into actionable, high-value propositions
Define and demonstrate the strategic value of applied data science across research and commercial initiatives
Act as a credible and influential voice in external engagements with government, academia, and industry
Mentor and develop a high-performing team of data professionals
Ensure best-in-class practices in explainable, ethical, and impact-driven data science
Essential Skills & Experience:
We seek someone with strong in-depth technical expertise and strategic insight—able to bridge deep analytical thinking with visionary leadership. Proven leadership in technical data role.
Experience designing and delivering complex data science or modelling projects
Track record of thought leadership or programme shaping in applied data fields
Skilled communicator – able to explain complex concepts to non-technical stakeholders
Comfortable working at the intersection of innovation, R&D, and strategy
Desirable Attributes:
Knowledge of public sector R&D or the UK innovation funding landscape
Academic or commercial track record (e.g., publications, spinouts, successful funding bids)
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