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- Tasks: Lead a team in shaping data science strategy and tackle complex data projects.
- Company: Join a forward-thinking company focused on innovative data solutions across critical sectors.
- Benefits: Enjoy hybrid work options, mentorship opportunities, and a chance to influence impactful projects.
- Why this job: Be a champion for ethical data use while mentoring future leaders in a dynamic environment.
- Qualifications: Strong technical expertise in data science with proven leadership experience required.
- Other info: Ideal for those passionate about bridging innovation and strategy in the public sector.
The predicted salary is between 72000 - 108000 £ per year.
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:
- 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)
Contact Detail:
Ashdown Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of Data Science
✨Tip Number 1
Familiarise yourself with the latest trends in data science and analytics, especially in sectors like transport and infrastructure. This knowledge will help you engage in meaningful conversations during interviews and demonstrate your strategic insight.
✨Tip Number 2
Network with professionals in the data science field, particularly those who have experience in public sector R&D or innovation funding. Building these connections can provide valuable insights and potentially lead to referrals.
✨Tip Number 3
Prepare to discuss your leadership style and how you've successfully mentored teams in the past. Highlight specific examples where your guidance led to successful project outcomes or team development.
✨Tip Number 4
Be ready to articulate your vision for the future of applied data science. Think about how you would approach complex data challenges and what innovative strategies you would implement to drive value for clients and stakeholders.
We think you need these skills to ace Head of Data Science
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your leadership experience in data science and any relevant projects you've led. Use specific examples that demonstrate your ability to bridge analytical thinking with strategic insight.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data science and strategy. Discuss how your background aligns with the company's goals and how you can contribute to their vision of innovative and responsible data use.
Showcase Your Communication Skills: Since the role requires explaining complex concepts to non-technical stakeholders, include examples in your application that demonstrate your ability to communicate effectively across different audiences.
Highlight Relevant Experience: Emphasise any experience you have in public sector R&D or knowledge of the UK innovation funding landscape. This will show that you understand the context in which the company operates and can bring valuable insights.
How to prepare for a job interview at Ashdown Group
✨Showcase Your Technical Expertise
As a candidate for the Head of Data Science, it's crucial to demonstrate your in-depth technical knowledge. Be prepared to discuss specific projects you've led, the methodologies you employed, and the outcomes achieved. This will help establish your credibility as a leader in the field.
✨Communicate Complex Ideas Simply
Given the role's requirement to explain complex concepts to non-technical stakeholders, practice articulating your ideas clearly and concisely. Use relatable examples to illustrate your points, ensuring that everyone in the room can grasp the significance of your work.
✨Demonstrate Strategic Thinking
Prepare to discuss how you've previously set and evolved data strategies. Highlight your ability to align data science initiatives with broader organisational goals, showcasing your visionary leadership and strategic insight.
✨Emphasise Mentorship and Team Development
Since mentoring future leaders is a key responsibility, be ready to share your experiences in developing high-performing teams. Discuss your approach to fostering talent and creating an environment that encourages innovation and ethical data practices.
