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Data & ai analyst

Peterborough
La Fosse
Analyst
Posted: 23h ago
Offer description

Overview

La Fosse Peterborough, England, United Kingdom

Data & AI Analyst

This range is provided by La Fosse. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.


Role

Data Science, AI & Machine Learning Consultant at La Fosse

Data, AI & Automation Analyst


Location

* Peterborough (Hybrid) – can be London as well.


About the Role

This is a rare opportunity to be the go-to AI and automation lead within a forward-thinking data function. You\'ll work closely with both technical and non-technical stakeholders to deliver end-to-end AI solutions.


Key Responsibilities

* Lead automation of business processes via RPA and AI tools
* Champion AI adoption, from ideation to delivery
* Drive data integration and transformation (e.g., moving from SharePoint to Microsoft Fabric)
* Advise on data & AI structure, governance, and best practices
* Collaborate across teams to ensure solutions are practical and impactful


What I’m Looking For

* Hands-on expertise in Power Automate, Power Apps, Microsoft CoPilot, and Azure AI
* Expertise in AI, Data Science & Machine Learning
* Experience with data automation, RPA, and integration platforms
* Strong communication skills and a pragmatic, solutions-focused mindset
* The ability to lead AI projects—not just support them


The Environment

Join a collaborative, growing team where cultural fit and clear communication are valued. The team is based primarily in Peterborough, with flexibility for London-based candidates.


Why Apply?

* Be at the forefront of an AI-driven business transformation
* Shape the future of automation within a large-scale enterprise


Interview Process

Two stages:

* Meet with technical leads
* Final conversation with senior leadership

If you’re interested in this role, apply through the AD to find out more!


Seniority level

* Mid-Senior level


Employment type

* Full-time


Job function

* Information Technology and Engineering


Industries

* Data Infrastructure and Analytics, Information Services, and Food and Beverage Manufacturing

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