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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 impact.
- Why this job: Shape the future of AI solutions and influence 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 while collaborating with executives.
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 influence C-level 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 high-performing 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, include these in your application. This will demonstrate your role as a thought leader in the data science community and your ability to evangelise data science effectively.
Prepare for Interviews: Anticipate questions about your experience with AI/ML product development and your strategies for embedding a data-first culture. Be ready to discuss how you would collaborate with C-suite executives and ensure that data science delivers commercially viable outcomes.
How to prepare for a job interview at JR United Kingdom
✨Showcase Your Vision
As a Chief Data Scientist, you'll need to demonstrate your ability to craft a compelling data strategy. Prepare to discuss your vision for data science in the organisation and how you plan to drive innovation and transformation.
✨Highlight Leadership Experience
Emphasise your experience in leading multidisciplinary teams. Be ready to share specific examples of how you've built and inspired high-performing data teams, as well as how you've influenced stakeholders at the board level.
✨Demonstrate Commercial Acumen
It's crucial to connect data science initiatives with business growth. Prepare to discuss how your previous projects have delivered commercially viable outcomes and how you can align data strategies with the company's goals.
✨Discuss Ethical AI Practices
Given the importance of ethical AI and data governance, be prepared to talk about your advocacy for responsible innovation. Share your thoughts on how to embed a data-first culture while ensuring ethical practices are upheld.
