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- Tasks: Lead data strategy and innovation, building a top-notch team to solve real-world problems.
- Company: Join a cutting-edge UK data science firm with access to rich household-level datasets.
- Benefits: Enjoy a dynamic work environment with opportunities for professional growth and impactful projects.
- Why this job: Shape the future of AI solutions while influencing C-level strategies in a data-driven culture.
- Qualifications: Proven experience in senior data roles, with expertise in AI, ML, and cloud architecture.
- Other info: Be a thought leader in ethical AI and data governance, driving responsible innovation.
The predicted salary is between 72000 - 108000 £ 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.
- Experience working across product, engineering, and strategy functions.
Chief Data Scientist employer: JR United Kingdom
Contact Detail:
JR United Kingdom 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, webinars, and meetups to connect with potential colleagues and mentors who can provide insights into the role and the company.
✨Tip Number 2
Stay updated on the latest trends in AI and machine learning, particularly those that are relevant to the UK market. This knowledge will not only help you in interviews but also demonstrate your commitment to innovation and thought leadership in the field.
✨Tip Number 3
Prepare to discuss your previous experiences in building and leading data teams. Be ready to share specific examples of how you've influenced C-suite executives and driven data-first initiatives within an organisation.
✨Tip Number 4
Familiarise yourself with the company's existing data strategy and any recent projects they've undertaken. This will allow you to tailor your discussions during interviews and show how your vision aligns with their goals.
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 Collaboration Skills: Since the role involves working closely with C-suite executives, emphasise your experience in collaborating across functions like product, engineering, and strategy. Provide examples of how you've successfully shaped business priorities through data-driven insights.
How to prepare for a job interview at JR United Kingdom
✨Showcase Your Vision
As a Chief Data Scientist, it's crucial to demonstrate 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 leveraging their rich datasets.
✨Highlight Leadership Experience
Be ready to share specific examples of how you've built and led high-performing data teams. Discuss your approach to inspiring and retaining talent, as well as any successful projects that showcase your leadership skills.
✨Connect Data Science to Business Outcomes
Prepare to articulate how data science can drive commercial growth. Think of examples where your work has directly influenced business decisions or outcomes, and be ready to explain complex concepts in a way that resonates with C-suite executives.
✨Emphasise Ethical AI and Data Governance
Given the importance of ethical AI and responsible innovation, be prepared to discuss your stance on these issues. Share your experiences in implementing data governance frameworks and how you advocate for ethical practices within your teams.
