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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 strategy in a data-driven culture.
- Qualifications: Proven success 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 and advancements in AI and ML. Follow thought leaders on social media, read relevant publications, and engage in discussions to demonstrate your knowledge and passion for the field during interviews.
✨Tip Number 3
Prepare to discuss your previous experiences in leading data teams and driving successful projects. Be ready to share specific examples of how you've influenced business strategy through data-driven decisions, as this will showcase your commercial acumen.
✨Tip Number 4
Familiarise yourself with the company's existing data practices and culture. Understanding their current challenges and opportunities will allow you to tailor your approach and demonstrate how you can contribute to their data-first vision.
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 senior data leadership roles, particularly in fast-paced environments. Emphasise your hands-on knowledge of AI, ML, and cloud data architecture, as well as any relevant achievements that demonstrate your ability to drive business growth through data science.
Craft a Compelling Cover Letter: In your cover letter, articulate your vision for the role of Chief Data Scientist. Discuss how you plan to evolve the data science strategy and lead a multidisciplinary team. Be sure to mention your experience with ethical AI and data governance, as these are key aspects of the position.
Showcase Your Thought Leadership: Include examples of how you've acted as a thought leader in previous roles. This could be through presentations, publications, or initiatives that evangelised data science within your organisation or to clients. Highlight your ability to influence C-suite executives and shape business priorities.
Prepare for Interviews: If selected for an interview, be ready to discuss your approach to building and leading high-performing data teams. Prepare to share specific examples of AI/ML product development you've spearheaded and how those solutions addressed real-world problems. Also, think about how you would define and embed a data-first culture in the organisation.
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 in the past. Discuss your approach to inspiring and retaining talent, as this will be key to your success in the role.
✨Connect Data Science to Business Outcomes
Make sure to articulate how your data science initiatives can drive commercial growth. Prepare to discuss past projects where your work directly contributed to business success, showcasing your strong commercial acumen.
✨Prepare for Ethical Discussions
Given the emphasis on ethical AI and data governance, be prepared to discuss your views on responsible innovation. Share your experiences in advocating for ethical practices within data science and how you plan to embed these values in the organisation.
