Data Science Manager

We’re hiring a to lead a high‑performing team focused on building applied AI solutions that deliver measurable business impact, from intelligent personalisation to optimised customer journeys and decision systems.

Location: Hybrid working in London or at the Peterborough office. Function: Data.

This hybrid role blends strong leadership with technical design, hands‑on coding, and shaping our approach to ML governance and standards.

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• Lead a team of data scientists delivering ML and analytics initiatives across product domains
  
• Guide technical direction, ensuring high standards in modelling, experimentation, and reproducibility
  
• Balance people leadership with technical contribution, including design, peer reviews, and hands‑on coding
  
• Drive delivery with a focus on sprint planning, scoping, estimation, and accountability to timelines
  
• Track progress, remove blockers, and ensure timely delivery of high‑impact solutions
  

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• Work closely with cross‑functional leads to align roadmaps and prioritise high‑impact opportunities
  
• Translate strategic goals into well‑scoped projects and ensure they are resourced and delivered effectively
  
• Advocate for data science in planning, helping stakeholders understand what’s possible
  

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• Coach and mentor the team through regular feedback, career conversations, and technical support
  
• Support hiring, onboarding, and development initiatives across data science
  
• Contribute to a high‑performing, inclusive, and curious team culture
  

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• Champion scalable, responsible, and maintainable approaches to deploying AI in production
  
• Collaborate on improving workflows, observability, and documentation standards
  
• Contribute to model governance practices including validation, explainability, and testing
  

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• Proven leadership of data science teams and delivery of applied ML solutions
  
• Hands‑on expertise in Python, modelling, and statistical methods
  
• Ability to balance technical contribution with people and project leadership
  
• Experience working in agile environments with clear accountability to delivery timelines
  
• Strong stakeholder influence and communication skills
  
• A degree in a quantitative discipline or equivalent experience applying ML in production
  

We believe diverse teams make better decisions and we’re committed to creating an inclusive workplace where everyone feels empowered to grow, contribute, and thrive. If you’re ready to stretch yourself, raise the bar, and grow with a team that’s serious about performance, innovation, and purpose, we’d love to hear from you.

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• Mid‑Senior level
  

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• Full‑time
  

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• Engineering and Information Technology
  

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• Software Development