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- Tasks: Lead a dynamic team and shape impactful data science projects.
- Company: Exciting global business with a focus on innovation.
- Benefits: Freedom to innovate, hands-on work, and collaboration with top talent.
- Why this job: Make a real impact with your work in production, not just theory.
- Qualifications: Experience in data science and leadership skills.
- Other info: Opportunity to shape the future of ML and AI responsibly.
The predicted salary is between 36000 - 60000 £ per year.
I’m retained to work on a Head of Data Science role with an exciting global business. This isn’t a role where you inherit a rigid roadmap or spend your time in status meetings. You’ll have real freedom to decide what gets built, how it’s built, and where data science can make the biggest impact across products used by millions every day. If you enjoy building things, getting your hands dirty, and seeing your work live in production—not just in notebooks—this role was designed for you.
Your Day-to-Day Impact:
- Lead and grow a small, high-performing team of Data Scientists
- Stay hands-on—shaping models, reviewing approaches, and occasionally prototyping
- Decide what’s worth building (and what isn’t)
- Collaborate closely with Engineering and Product to ship production-ready ML
- Turn experiments into reliable, scalable systems
- Partner with senior stakeholders to embed data-driven decision-making
- Shape how ML and Generative AI are used responsibly and effectively across the business
Please note: sponsorship is not available for this role.
Head of Data Science in London employer: Cognify Search
Contact Detail:
Cognify Search Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of Data Science in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects. Whether it's models you've built or experiments you've run, having tangible examples of your work can really set you apart from the competition.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios related to data science. Think about how you would approach real-world problems and be ready to discuss your thought process and decision-making.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love hearing from passionate candidates who are excited about making an impact in data science.
We think you need these skills to ace Head of Data Science in London
Some tips for your application 🫡
Show Your Passion for Data Science: When writing your application, let your enthusiasm for data science shine through. Share specific examples of projects you've worked on and how they made an impact. We want to see that you’re not just looking for a job, but that you’re genuinely excited about the work you'll be doing with us.
Tailor Your Application: Make sure to customise your CV and cover letter for this role. Highlight your experience in leading teams and building data-driven solutions. We love seeing candidates who take the time to align their skills with what we’re looking for, so don’t hold back!
Be Hands-On in Your Approach: Since this role is all about getting your hands dirty, mention any hands-on experience you have with data science tools and techniques. We appreciate candidates who can demonstrate their ability to prototype and build models, so share those experiences with us!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us that you’re serious about joining our team at StudySmarter!
How to prepare for a job interview at Cognify Search
✨Know Your Data Science Stuff
Make sure you brush up on the latest trends and techniques in data science, especially around machine learning and generative AI. Be ready to discuss your hands-on experience with building models and how you've turned experiments into scalable systems.
✨Showcase Your Leadership Skills
Since this role involves leading a team, be prepared to share examples of how you've successfully managed and grown teams in the past. Highlight your approach to mentoring and fostering a high-performance culture.
✨Collaborate Like a Pro
This position requires close collaboration with Engineering and Product teams. Think of specific instances where you've worked cross-functionally to ship production-ready solutions and be ready to discuss how you handle differing opinions.
✨Be Ready to Discuss Impact
Prepare to talk about how your work has made a tangible impact in previous roles. Use metrics or case studies to illustrate how your data-driven decisions have influenced product development and business outcomes.
