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# Data Analyst - AI Engineer

- **Company:** The Fuel Store Ltd
- **Location:** Birmingham, UK
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Microsoft Excel, Application Programming Interfaces (APIs), Artificial Intelligence, Microsoft Azure, Cloud Computing, Cluster Analysis, Computer Programming, Data Visualization, Python (Programming Language), NoSQL, Power BI, SQL Databases, Large Language Models, Deep Learning, Generative AI, Git, Fastapi, Machine Learning Operations, Databricks
- **Published:** September 22, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=e625ce60da72215e

## About the Role

We are seeking a highly skilled and innovative Data Analyst / AI Engineer with deep expertise in Generative AI, Large Language Models (LLMs) and Business Intelligence. The ideal candidate will have a proven track record of designing, collating and deploying data models to create financial value and opportunities for our business. The ideal candidate brings 5+ years of experience delivering end to end data science solutions across enterprise technology environments to end data science solutions across enterprise technology environments, A candidate who brings a strong blend of engineering discipline and research-driven innovation

A self-sourcing problem-solver who turns complex datasets into insightful business outcomes.

An individual comfortable leading AI projects end-to-end from ideation to deployment, Degree Qualified or demonstratable Azure environment experience.

Key Skills & Technologies
Programming & Frameworks: SQL, NoSQL, FastAPI, Git & MS PowerApp Suite

AI: Classification, Regression, Clustering, Deep Learning, Time Series, LLM Agents, RAG

Cloud & Deployment: Azure AI, Databricks.

Data Visualization: Power BI, Excel, Copilot Studio

## Description

Analyse large structured and unstructured datasets to extract insights, trends, and business value.

Design, build, and optimise AI pipelines, including LLM-powered applications, RAG systems, finetuning workflows.

Develop scalable production systems using Python, SQL, NoSQL, APIs for cloud infrastructure (Azure).

Develop AI Assistants and automation tools that enhance operational efficiency., We track all employees progression by creating personal development plans, we have an in-house L&D Specialist dedicated to help you improve and grow professionally.