Data Science Team Leader

About the Company

I’m working with a fast-scaling company that recently secured £20M in Series A funding and is already preparing for Series B. They’re building software that genuinely changes lives. With expansion underway, especially into the US, it’s a brilliant time to join. The team is sharp, diverse, and growing quickly, with plenty of momentum behind what they’re building.

About the Role

This is a permanent, full-time Data Science Team Leader position. You’ll head a team developing production-grade ML and AI solutions, focusing on performance, rigour, and real-world impact. The role is hands-on and strategically important. You’ll own end-to-end delivery, collaborate with technical and scientific teams, and help define how data science is applied across the business. This is meaningful AI work, with clear technical challenges and purpose.

Responsibilities

· Lead and mentor a team of data scientists working on applied ML projects

· Take ownership of projects from data acquisition to deployment

· Develop robust, high-performance models for real-world datasets

· Ensure all outputs meet technical and regulatory standards

· Work closely with scientists, engineers, and domain experts

· Introduce new tools, methods, and approaches where relevant

· Communicate clearly with both technical and non-technical audiences

Qualifications

· Strong Python skills and practical machine learning experience

· Proven ability to lead or mentor in a data science setting

· Track record of delivering models into production environments

· Degree in a relevant technical field or equivalent hands-on experience

· Excellent written and verbal communication skills

· Bonus if you’ve worked with MLflow, GitHub, PyTest, Jira, or HPC systems

· Bonus if you have experience under a QMS or with safety-critical software

What’s in it for You?

· £46,000 to £65,000 depending on experience

· Hybrid working model with two days a week in the office

· Flexible hours around core team collaboration

· A leadership role with real-world impact and technical challenge

· The chance to shape applied AI in a company that’s scaling fast

If you're interested in leading a high-performing team, solving hard problems, and applying data science where it truly matters, I’d love to hear from you. Send your CV and a short note to the Chief Scientific Officer at the email provided.