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- Tasks: Lead a team to build impactful data science solutions for millions.
- Company: Exciting global business with a focus on innovation.
- Benefits: Competitive salary up to £170k plus bonuses.
- Why this job: Enjoy freedom to shape projects and see your work in action.
- Qualifications: Experience in data science and leadership skills required.
- Other info: Opportunity to influence responsible use of ML and AI.
The predicted salary is between 102000 - 238000 £ per year.
I’m retained to work on a Head of Data Science role with an exciting global business.
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.
- Lead and grow a small, high-performing team of Data Scientists
- Decide what’s worth building (and what isn’t)
- Collaborate closely with Engineering and Product to ship production-ready ML
- Partner with senior stakeholders to embed data-driven decision-making
- Shape how ML and Generative AI are used responsibly and effectively across the business
Head of Data Science and Machine Learning 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 and Machine Learning in London
✨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 hunt for a Head of Data Science role. You never know who might have the inside scoop on an opportunity that’s not even advertised yet.
✨Tip Number 2
Showcase your projects! If you’ve built something impressive, whether it’s a machine learning model or a data-driven product, make sure to highlight it in conversations. Bring it up during interviews or networking events to demonstrate your hands-on experience.
✨Tip Number 3
Prepare for those tricky questions! Brush up on your technical knowledge and be ready to discuss how you would approach building data science solutions. Think about how you’d collaborate with engineering and product teams to ship production-ready ML.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for you, and applying directly can sometimes give you an edge. Plus, it shows you’re genuinely interested in being part of our team!
We think you need these skills to ace Head of Data Science and Machine Learning in London
Some tips for your application 🫡
Show Your Passion for Data Science: When writing your application, let us see your enthusiasm for data science and machine learning. Share specific examples of projects you've worked on that demonstrate your ability to build impactful solutions and how you’ve enjoyed getting your hands dirty in the process.
Tailor Your Application: Make sure to customise your CV and cover letter to highlight your experience relevant to the role. We want to see how your skills align with our needs, so don’t be shy about showcasing your leadership in data science and your collaborative work with engineering and product teams.
Be Clear About Your Vision: In your application, articulate your vision for how data science can drive value in a business. We’re looking for someone who can decide what’s worth building, so share your thoughts on prioritising projects and embedding data-driven decision-making across teams.
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 it gets into the right hands. Plus, it shows us you’re keen on joining our team!
How to prepare for a job interview at Cognify Search
✨Know Your Data Science Stuff
Make sure you brush up on the latest trends in data science and machine learning. Be ready to discuss your past projects, especially those that had a real impact. They’ll want to see how you’ve applied your skills in practical situations, so have some examples up your sleeve.
✨Showcase Your Leadership Skills
As a Head of Data Science, you'll be leading a team. Prepare to talk about your leadership style and how you've successfully managed teams in the past. Think of specific instances where you’ve motivated your team or resolved conflicts—this will show you can handle the responsibilities of the role.
✨Collaborate Like a Pro
This role involves working closely with Engineering and Product teams. Be ready to discuss how you’ve collaborated with other departments in previous roles. Highlight any cross-functional projects you’ve led or been part of, as this will demonstrate your ability to work well with others.
✨Think About the Bigger Picture
They’re looking for someone who can embed data-driven decision-making across the business. Prepare to share your vision for how data science can drive business outcomes. Think strategically about how you would approach this role and be ready to discuss your ideas during the interview.