> Markdown version of [/jobs/ext/2700651-data-science-manager](https://www.wearedevelopers.com/jobs/ext/2700651-data-science-manager). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Data Science Manager

- **Company:** Pe-backed Data & Ai Consulting
- **Location:** Slough, UK
- **Salary:** £70,000.0 - £90,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Backend, Information Technology
- **Published:** September 4, 2026
- **Apply:** https://www.apply4u.co.uk/jobs/data-science-manager/46272273

## About the Role

to lose the technical edge or the pace of real-world delivery, this is a pretty rare way to do both without compromise. Skills & Experience RequiredEducated to degree level in a STEM subject; Mathematics, Statistics, Engineering, Chemistry, Physics, Computer Science, Machine LearningA commercial background in building and delivering data science and AI solutions end to endAbility to lead teach and deploy teams of engineers, data scientists and AI engineers onsite with end clients - ideally with some formal experience in the training spaceStrong consulting skills, ability to work directly with end customers on shaping data and AI solutions, overseeing delivery from deployed teams

## Description

capability, then deploy it. The people who tend to lean into this are engineers with a strong foundation in AI, data, or backend systems who've already operated in consulting or client-facing environments. They've built real systems, understand the gap between theory and production, and naturally find themselves mentoring others - whether that's through workshops, internal training, or just being the person others go to when things get complex. You don't need to have been a full-time instructor. But you do need to care about how things are built, how they're taught, and how they actually land in the real world. What makes this different is that you're not stepping away from engineering to teach, and you're not stuck in delivery without broader impact. You get both. You help shape how people are trained, and then you see that training hold up - or break - in real client environments, and refine it accordingly. If you're starting to enjoy the mentoring side of engineering, but don't want