At a Glance
- Tasks: Lead a dynamic team of Data Scientists and shape impactful data-driven projects.
- Company: Exciting global business with a focus on innovation and freedom.
- Benefits: Competitive salary up to £170k, bonus, and flexible working in Central London.
- Why this job: Make a real impact by building scalable systems used by millions daily.
- Qualifications: Experience in data science and leadership skills required.
- Other info: Enjoy a hands-on role with opportunities for growth and collaboration.
The predicted salary is between 102000 - 136000 £ per year.
Salary: Up to £170k + bonus
Location: Central London (3x a week)
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 City of 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 City of London
✨Tip Number 1
Network like a pro! Reach out to people in your industry on LinkedIn or at events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects. This is your chance to demonstrate what you can do beyond just a CV.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios. Think about how you’d lead a team or tackle a data challenge—be ready to share your thought process!
✨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 like you!
We think you need these skills to ace Head of Data Science in City of 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 skilled, but also genuinely excited about the field!
Tailor Your Application: Make sure to customise your CV and cover letter for this role. Highlight experiences that align with leading a team and building impactful data solutions. We love seeing candidates who take the time to connect their skills with what we’re looking for.
Be Clear and Concise: Keep your application straightforward and to the point. Use clear language to describe your achievements and avoid jargon unless it’s relevant. We appreciate clarity, as it shows you can communicate effectively—an essential skill for this role!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets seen by the right people. Plus, it makes the process smoother for both you and us!
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 collaborating with others, especially in high-pressure situations.
✨Understand the Business Impact
This isn't just about the tech; it's about how data science can drive business decisions. Be ready to discuss how you've partnered with stakeholders in previous roles to embed data-driven decision-making and what impact it had on the organisation.
✨Be Ready to Get Hands-On
The job description mentions a hands-on approach, so be prepared to talk about specific projects where you've been involved in the nitty-gritty of data science. Share your experiences with prototyping and how you’ve shaped models that went live in production.