Data Science Manager in Peterborough

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.

What You\’ll Be DoingTeam Delivery & Technical Oversight

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

Stakeholder Collaboration

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

People Development

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

Platform & Standards

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

What We\’re Looking For

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.

Seniority level

Mid‐Senior level

Employment type

Full‐time

Job function

Engineering and Information Technology

Industries

Software Development

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