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
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Set and evolve the data science and modelling strategy across transport, infrastructure, resilience, and related domains
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Provide hands-on technical leadership for complex, often ambiguous, data projects
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Collaborate with partners and clients to turn data challenges into actionable, high-value propositions
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Define and demonstrate the strategic value of applied data science across research and commercial initiatives
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Act as a credible and influential voice in external engagements with government, academia, and industry
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Mentor and develop a high-performing team of data professionals
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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.
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Experience designing and delivering complex data science or modelling projects
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Track record of thought leadership or programme shaping in applied data fields
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Skilled communicator – able to explain complex concepts to non-technical stakeholders
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Comfortable working at the intersection of innovation, R&D, and strategy
Desirable Attributes:
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Knowledge of public sector R&D or the UK innovation funding landscape
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Academic or commercial track record (e.g., publications, spinouts, successful funding bids)