Head of Data Science in Slough

Head of Data Science in Slough

Slough Full-Time 125000 - 125000 £ / year (est.) No working from home possible
Cognify Search

At a Glance

  • Tasks: Lead and evolve production ML systems for recommendations, personalisation, and search.
  • Company: Dynamic company focused on innovative machine learning and generative AI.
  • Benefits: Competitive salary up to £125k, bonus, and hybrid working.
  • Other info: Exciting opportunity for strategic thinkers in a fast-paced environment.
  • Why this job: Shape the future of AI products and mentor a talented team.
  • Qualifications: Experience in leading Data Science teams and production ML systems.

The predicted salary is between 125000 - 125000 £ per year.

This is a newly created leadership role, designed to bring focus, structure, and strategic direction to an already established ML function, while also shaping a growing GenAI product capability.

You will lead a team responsible for production machine learning systems powering core customer experiences, including recommendations, personalisation, and search.

Key Responsibilities
  • Lead and evolve a production ML function (recommendations, search, personalisation)
  • Own the Data Science roadmap and prioritisation of model investment
  • Build and scale generative AI capability across product features
  • Define best practices for model evaluation, quality, and responsible AI
  • Partner with Engineering and MLOps on deployment and operationalisation
  • Mentor and develop a team of Data Scientists
What We’re Looking For
  • Experience leading Data Science / ML teams in a product-led business
  • Strong background in production machine learning systems
  • Exposure to generative AI / LLM-based product development
  • Strong technical judgement and ability to operate strategically
  • Experience working cross-functionally with Product and Engineering

If this sounds like something you’d be interested in, feel free to reach out for a confidential chat. Unfortunately, this role does not offer sponsorship!

Head of Data Science in Slough employer: Cognify Search

As a leading employer in the tech industry, we offer an exciting opportunity for the Head of Data Science to shape the future of our machine learning capabilities in a dynamic and innovative environment. Our London-based team thrives on collaboration and creativity, providing ample opportunities for professional growth and development, while enjoying a hybrid work culture that promotes work-life balance. Join us to be part of a forward-thinking company that values your expertise and encourages you to make a meaningful impact.

Cognify Search

Contact Details:

Cognify Search Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Head of Data Science in Slough

Tip Number 1

Network like a pro! Reach out to your connections in the data science field and let them know you're on the lookout for opportunities. You never know who might have the inside scoop on a role that’s perfect for you.

Tip Number 2

Showcase your expertise! Prepare a portfolio or case studies of your past projects, especially those involving production ML systems and generative AI. This will help you stand out during interviews and demonstrate your hands-on experience.

Tip Number 3

Practice makes perfect! Conduct mock interviews with friends or use online platforms to refine your responses. Focus on articulating your leadership style and how you've successfully led teams in a product-led environment.

Tip Number 4

Don’t forget to apply through our website! We’ve got loads of exciting roles, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications!

We think you need these skills to ace Head of Data Science in Slough

Leadership
Machine Learning
Generative AI
Model Evaluation
Data Science Roadmap Development
Cross-Functional Collaboration
Technical Judgement

Some tips for your application 🫡

Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Head of Data Science role. Highlight your leadership in Data Science and any experience with production ML systems, as this will catch our eye!

Craft a Compelling Cover Letter:Use your cover letter to tell us why you're the perfect fit for this role. Share specific examples of how you've led teams and developed generative AI capabilities in previous positions. We love a good story!

Showcase Your Technical Skills:Don’t shy away from detailing your technical expertise in machine learning and AI. Mention any relevant projects or achievements that demonstrate your ability to operate strategically and work cross-functionally.

Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. Plus, it’s super easy!

How to prepare for a job interview at Cognify Search

Know Your Stuff

Make sure you brush up on your knowledge of production machine learning systems and generative AI. Be ready to discuss specific projects you've led or contributed to, especially those that align with the company's focus on recommendations, personalisation, and search.

Show Your Leadership Skills

As this is a leadership role, be prepared to share examples of how you've successfully led and mentored Data Science teams in the past. Highlight your experience in building a team culture and driving strategic direction within a product-led business.

Cross-Functional Collaboration

Demonstrate your ability to work effectively with Product and Engineering teams. Share instances where you've partnered with these departments to deploy and operationalise machine learning models, showcasing your understanding of the importance of collaboration in achieving business goals.

Ask Insightful Questions

Prepare thoughtful questions about the company's current ML function and their vision for the future. This shows your genuine interest in the role and helps you assess if the company aligns with your career aspirations, especially regarding their approach to generative AI.