Data Analyst - AI Engineer in Birmingham

Data Analyst - AI Engineer in Birmingham

Birmingham Full-Time 81000 - 99000 £ / year (est.) Hybrid
T

At a Glance

  • Tasks: Analyse data and build AI solutions to drive business success.
  • Company: Join a progressive tech company revolutionising the fuel industry.
  • Benefits: Competitive salary, health perks, generous holiday, and career growth opportunities.
  • Other info: Dynamic work environment with a focus on collaboration and community support.
  • Why this job: Be part of an innovative team shaping the future with AI technology.
  • Qualifications: 5+ years in data science and strong programming skills required.

The predicted salary is between 81000 - 99000 £ per year.

The Fuel Store (TFS) is a progressive, Birmingham based business using technology to develop its market and stay ahead of the competition. It is on a mission to revolutionise the way business is conducted in its chosen business segments. The business is a leading provider of fuel and associated products into the transportation sector. TFS provides a range of products and solutions to its customers which help them to increase profits through increasing basket size, customer loyalty and usage; serving customers more efficiently and cost-effectively. It currently facilitates the provision of and processes the transactions to allow over 60 million litres of fuel per annum through its card processes.

The business was started 10 years ago and to date has grown organically. Future development will be a combination of organic and inorganic growth offering its customers a carefully thought-out package of products with software that enables easy/dynamic/cost optimised fleet management at its core. The business is very efficient and proudly operates with circa 50 colleagues whilst delivering over £70m of turnover. Colleagues operate at both the strategic and operational level often in the same meeting. The ability to ‘roll up your sleeves’ and deliver your own solutions is a hugely important asset to us.

A new CEO has been appointed with a strong track record of successful growth and he will lead the twin track approach of organic and inorganic growth.

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.

Brief Overview:

  • Type of Opportunity: Permanent, Full Time
  • Basic Salary: Competitive
  • Location: Birmingham, B2
  • Reports to: Senior Business Analyst
  • Hybrid Model: 4 days in the office and 1 day at home. Therefore, we are not looking for anyone outside normal travel to work distance to Birmingham.

What We’re Looking For:

  • 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.

Key Responsibilities:

  • 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, fine-tuning workflows.
  • Develop scalable production systems using Python, SQL, NoSQL, APIs for cloud infrastructure (Azure).
  • Develop AI Assistants and automation tools that enhance operational efficiency.

Education & Certifications: Degree Qualified or demonstrable Azure environment experience.

Key Skills & Technologies:

  • Programming & Frameworks: SQL, NoSQL, FastAPI, Git & MS Power App Suite
  • AI: Classification, Regression, Clustering, Deep Learning, Time Series, LLM Agents, RAG
  • Cloud & Deployment: Azure AI, Databricks.
  • Data Visualization: Power BI, Excel, Copilot Studio

Our Culture: TFS are in the simplicity business and we are building a team, who look at the world a little differently. People that look at the needlessly complicated and say ‘that’s nuts’. People that are bold enough to challenge convention. And brilliant enough to actually change it.

What’s in it for you?

  • Salary Sacrifice Pension Scheme: After 12 weeks of continuous employment, you will be automatically enrolled into our Pension Scheme.
  • Life Assurance: Payable at 3x Basic Salary.
  • Health & Wellbeing: You will have access to MediCash upon passing their probation, this will allow you to access healthcare cashback schemes, retail discounts, counselling, for yourself and up to 4 children.
  • Holiday Entitlement: You will be entitled to 26 days annual leave plus all statutory holidays, you increase personal holiday allowance with increased service up to 5 additional days.
  • Financial Advice: Access to 1-2-1 financial advisor sessions free of charge.
  • Career Progression: 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.
  • Location: Based in Birmingham City Centre, with panoramic views from the office floor.
  • Supporting local charities: We are passionate about giving back to the local community and supporting charities as much as we can.

We want to be a place where everyone has a sense of belonging. Our team is growing rapidly and that means that we want collaborative, talented Fuellers to help us to invent The Fuel Store’s future. We will support you, nurture you, and give you the best platform to succeed.

We are also an equal opportunity employer and value diversity across the business. All applicants will be considered for employment without attention to ethnicity, race, religion, sexual orientation, gender identity, sex, family or parental status, neurodiversity or disability status, marital status, veteran status and national origin.

Data Analyst - AI Engineer in Birmingham employer: The Fuel Store

The Fuel Store in Birmingham is an exceptional employer, offering a dynamic work environment where leadership and teamwork thrive. With a strong focus on employee development, competitive compensation, and generous benefits including a 20% bonus and 26 days of annual leave, we empower our Sales Team Leaders to drive success while enjoying a healthy work-life balance. Join us to be part of a supportive culture that values your contributions and fosters growth.

T

Contact Details:

The Fuel Store Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Analyst - AI Engineer in Birmingham

✨Get Involved in Data Science Meetups

Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like The Fuel Store!

✨Show Off Your Projects

Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Analyst - AI Engineer at The Fuel Store.

✨Leverage Professional Networks

Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like The Fuel Store.

✨Apply Directly through Our Website

When you find a suitable opening like Data Analyst - AI Engineer at The Fuel Store, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace Data Analyst - AI Engineer in Birmingham

Generative AI
Large Language Models (LLMs)
Business Intelligence
Data Modelling
End-to-End Data Science Solutions
Python
SQL

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!

Craft a Tailored Cover Letter:For a full-time role at The Fuel Store, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at The Fuel Store. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at The Fuel Store

✨Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

✨Showcase Your Projects

Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!

✨Get Comfortable with Python and R

Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at The Fuel Store!

✨Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.