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- Tasks: Lead data strategy and build a top-notch data science team.
- Company: Join a cutting-edge UK data science firm with rich datasets.
- Benefits: Enjoy a competitive salary, bonuses, and hybrid work options.
- Why this job: Shape AI solutions and influence C-level strategy in a dynamic environment.
- Qualifications: Proven senior data leadership experience and strong AI/ML knowledge required.
- Other info: Be a thought leader in ethical AI and data governance.
The predicted salary is between 100000 - 125000 £ per year.
My client, a cutting-edge UK data science firm, is on the hunt for a visionary Chief Data Scientist to take the reins of their data strategy. Working with one of the richest household-level datasets in the UK, this is a rare opportunity to architect enterprise AI solutions, influence C-level strategy, and leave a legacy of data-driven transformation.
Responsibilities:
- Own and evolve the end-to-end data science vision and innovation roadmap.
- Build and lead a multidisciplinary team of world-class data scientists and engineers.
- Spearhead AI/ML product development that solves real-world, high-value problems.
- Act as a thought leader – evangelise data science both internally and with key clients.
- Define and embed a data-first culture across the organisation.
- Collaborate closely with C-suite executives to shape business-wide priorities.
- Ensure data science delivers commercially viable and scalable outcomes.
Key Requirements:
- Proven success in senior data leadership roles, ideally in fast-paced or high-growth environments.
- Deep hands-on knowledge of AI, ML, cloud data architecture, and production model delivery.
- Strong commercial acumen – you understand how to tie data science to business growth.
- Skilled at influencing board-level stakeholders and translating complex concepts clearly.
- Track record of building, inspiring, and retaining high-performing data teams.
- Fierce advocate for ethical AI, data governance, and responsible innovation.
Sound like you? Apply now!!
Chief Data Scientist employer: developrec
Contact Detail:
developrec Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Chief Data Scientist
✨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 learn about the latest trends in AI and ML.
✨Tip Number 2
Showcase your thought leadership by sharing insights on platforms like LinkedIn or industry blogs. Discuss your views on ethical AI and data governance to demonstrate your commitment to responsible innovation, which is crucial for this role.
✨Tip Number 3
Prepare to discuss specific examples of how you've influenced C-suite executives in previous roles. Highlight your ability to translate complex data concepts into actionable business strategies that drive growth.
✨Tip Number 4
Familiarise yourself with the company's existing data strategy and be ready to propose innovative ideas during the interview. This shows your proactive approach and genuine interest in shaping their data-first culture.
We think you need these skills to ace Chief Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data leadership roles, particularly in fast-paced environments. Emphasise your hands-on knowledge of AI and ML, as well as any relevant achievements that demonstrate your ability to influence C-suite stakeholders.
Craft a Compelling Cover Letter: In your cover letter, articulate your vision for data science and how you plan to evolve the data strategy at the company. Mention specific examples of how you've built and led successful data teams and your approach to ethical AI and data governance.
Showcase Your Thought Leadership: If you have published articles, given talks, or contributed to industry discussions on data science, make sure to include these in your application. This will demonstrate your role as a thought leader and your commitment to evangelising data science.
Highlight Commercial Acumen: Clearly connect your data science expertise to business growth in your application. Provide examples of how your data-driven strategies have led to commercially viable outcomes in previous roles.
How to prepare for a job interview at developrec
✨Showcase Your Vision
As a Chief Data Scientist, it's crucial to articulate your vision for data strategy. Prepare to discuss how you would evolve the company's data science roadmap and the innovative ideas you have for AI/ML product development.
✨Demonstrate Leadership Skills
Highlight your experience in building and leading multidisciplinary teams. Be ready to share specific examples of how you've inspired and retained high-performing data teams in previous roles.
✨Connect Data Science to Business Growth
Prepare to explain how your data science initiatives have directly contributed to business success. Use concrete examples to illustrate your strong commercial acumen and ability to influence board-level stakeholders.
✨Emphasise Ethical AI and Data Governance
Given the importance of responsible innovation, be prepared to discuss your advocacy for ethical AI practices and data governance. Share your thoughts on how these principles can be embedded within the organisation's culture.
