Executive Director, Data Scientist
Executive Director, Data Scientist

Executive Director, Data Scientist

Full-Time 100800 - 126000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Lead a team to innovate and implement cutting-edge data science solutions.
  • Company: Join a leading UK data science firm known for its rich datasets and transformative impact.
  • Benefits: Enjoy a competitive salary, bonuses, and the flexibility of hybrid work.
  • Why this job: Shape the future of AI while collaborating with top executives in a dynamic environment.
  • Qualifications: Proven experience in senior data roles with expertise in AI, ML, and team leadership.
  • Other info: Be a champion for ethical AI and drive meaningful change in the industry.

The predicted salary is between 100800 - 126000 £ 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.

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. Track record of building, inspiring, and retaining high-performing data teams. Fierce advocate for ethical AI, data governance, and responsible innovation.

Executive Director, Data Scientist employer: developrec

As a leading data science firm based in London, we pride ourselves on fostering a dynamic and inclusive work culture that champions innovation and collaboration. Our employees benefit from competitive salaries, generous bonuses, and a comprehensive benefits package, alongside unparalleled opportunities for professional growth and development in the rapidly evolving field of data science. Join us to not only shape the future of AI solutions but also to be part of a team that values ethical practices and empowers you to make a significant impact.
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Contact Detail:

developrec Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Executive Director, 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 writing articles or giving talks on data science topics. This will not only enhance your visibility but also demonstrate your expertise and passion for the field, making you a more attractive candidate.

✨Tip Number 3

Familiarise yourself with the specific datasets and tools used by the company. Understanding their data landscape will allow you to speak knowledgeably about how you can leverage it to drive business growth during interviews.

✨Tip Number 4

Prepare to discuss your vision for data science in a business context. Be ready to articulate how you would align data initiatives with the company's strategic goals, showcasing your commercial acumen and leadership capabilities.

We think you need these skills to ace Executive Director, Data Scientist

Leadership Skills
Data Strategy Development
AI/ML Expertise
Cloud Data Architecture
Commercial Acumen
Team Building and Management
Data Governance
Ethical AI Advocacy
Stakeholder Engagement
Project Management
Data-Driven Decision Making
Communication Skills
Problem-Solving Skills
Innovation Mindset
Collaboration with C-suite Executives

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your experience in data science leadership, AI/ML product development, and team management. Use specific examples that demonstrate your ability to drive data strategy and deliver commercially viable outcomes.

Craft a Compelling Cover Letter: In your cover letter, express your passion for data science and your vision for leading a multidisciplinary team. Mention how your background aligns with the company's goals and your commitment to ethical AI and data governance.

Showcase Relevant Achievements: Include quantifiable achievements in your application that reflect your success in previous roles. Highlight instances where you influenced C-level strategy or led high-performing teams to solve complex problems.

Research the Company: Familiarise yourself with the company's mission, values, and recent projects. This knowledge will help you tailor your application and demonstrate your genuine interest in contributing to their data-driven transformation.

How to prepare for a job interview at developrec

✨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 data science vision and innovation roadmap, and be ready to share examples of past successes in shaping data strategies.

✨Highlight Leadership Experience

This role requires building and leading a multidisciplinary team. Be prepared to talk about your experience in leading data teams, including how you've inspired and retained talent in previous positions. Specific examples will help illustrate your leadership style.

✨Discuss Real-World Applications

The company is looking for someone who can spearhead AI/ML product development. Come equipped with examples of how you've solved real-world problems using AI and ML, and be ready to discuss the impact of these solutions on business outcomes.

✨Emphasise Ethical AI and Data Governance

As a fierce advocate for ethical AI, it's important to convey your commitment to responsible innovation. Be prepared to discuss your views on data governance and how you have implemented ethical practices in your previous roles.

Executive Director, Data Scientist
developrec
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