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For Companies At a Glance
- Tasks: Lead a team in shaping data science strategies and tackle complex data projects.
- Company: Join a forward-thinking company focused on innovative data solutions across various sectors.
- Benefits: Enjoy hybrid work options, mentorship opportunities, and a dynamic work environment.
- Why this job: Be a key player in driving impactful data initiatives and mentoring future leaders.
- Qualifications: Strong technical expertise in data science and proven leadership experience required.
- Other info: Ideal for those passionate about ethical data use and innovation in public sectors.
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)
Head of Data Science employer: Ashdown Group
Contact Detail:
Ashdown Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of Data Science
✨Tip Number 1
Network with professionals in the data science field, especially those who have experience in leadership roles. Attend industry conferences or webinars where you can meet potential colleagues and mentors who can provide insights into the role and the company culture.
✨Tip Number 2
Stay updated on the latest trends and technologies in data science and analytics. Being knowledgeable about current innovations will not only help you in interviews but also demonstrate your commitment to the field and your ability to lead a team effectively.
✨Tip Number 3
Prepare to discuss your previous experiences in leading data projects and how you overcame challenges. Use specific examples that highlight your strategic thinking and ability to mentor others, as these are key aspects of the Head of Data Science role.
✨Tip Number 4
Familiarise yourself with the public sector R&D landscape and UK innovation funding opportunities. Understanding these areas will position you as a knowledgeable candidate who can bridge the gap between data science and strategic initiatives in the public sector.
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 managed. 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 Technical Expertise: Include details about your technical skills and experience with complex data projects. Mention any specific methodologies or tools you have used, and how they relate to the responsibilities outlined in the job description.
Prepare for Interviews: Anticipate questions about your leadership style and how you mentor teams. Be ready to discuss your approach to turning data challenges into actionable strategies, as well as your experience in engaging with stakeholders across various sectors.
How to prepare for a job interview at Ashdown Group
✨Showcase Your Leadership Skills
As a candidate for the Head of Data Science, it's crucial to demonstrate your leadership experience. Prepare examples of how you've successfully led teams in the past, particularly in complex data projects, and be ready to discuss your mentoring approach.
✨Communicate Complex Ideas Simply
Given the need to explain intricate data concepts to non-technical stakeholders, practice articulating your thoughts clearly and concisely. Use relatable analogies or examples to illustrate your points during the interview.
✨Highlight Your Strategic Vision
Be prepared to discuss your vision for the future of data science within the organisation. Think about how you can align data strategies with business goals and be ready to share innovative ideas that could drive value.
✨Demonstrate Ethical Data Practices
Since the role emphasises responsible data use, come equipped with examples of how you've implemented ethical practices in your previous work. Discuss the importance of explainability and impact-driven approaches in your data science projects.
