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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 43200 - 72000 £ 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 employer: Cognify Search
Contact Detail:
Cognify Search Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of Data Science
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues 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 brushing up on your technical skills and understanding the latest trends in data science. Be ready to discuss how you would approach real-world problems and demonstrate your hands-on experience.
✨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 the data science field.
We think you need these skills to ace Head of Data Science
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 the responsibilities mentioned in the job description. 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 and avoid jargon unless it’s relevant. We appreciate when candidates can communicate complex ideas simply—it's a key skill in data science!
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it shows 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.
