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For Companies At a Glance
- Tasks: Analyse data, build AI pipelines, and develop automation tools for business efficiency.
- Company: Innovative company at the forefront of AI and data science.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Other info: Exciting role with a focus on cutting-edge technologies in Birmingham City Centre.
- Why this job: Join a dynamic team and lead impactful AI projects from start to finish.
- Qualifications: Degree qualified or demonstrable experience in Azure environments.
The predicted salary is between 45000 - 55000 £ per year.
We are seeking a highly skilled and innovative Data Scientist / 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.
What We're Looking For:
- A candidate who brings a strong blend of engineering discipline and research-driven innovation.
- A 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 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.
Location: Birmingham City Centre
Salary: £45k to £55k
Hybrid: 4 days in the office, 1 day at home.
Data Analyst in Birmingham employer: The Fuel Store
Contact Detail:
The Fuel Store Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst in Birmingham
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, especially those involving AI and LLMs. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on common data analysis scenarios and technical questions. Practice explaining your thought process clearly, as communication is key in turning complex datasets into actionable insights.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Data Analyst in Birmingham
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Data Analyst role. Highlight your expertise in data science solutions, especially with LLMs and AI projects, to show us you’re the right fit.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you’re passionate about data analysis and how your background aligns with our needs. Share specific examples of your past projects that demonstrate your problem-solving skills and innovative thinking.
Showcase Your Technical Skills: Don’t forget to mention your proficiency in SQL, Python, and any relevant frameworks like FastAPI. We want to see how you’ve used these tools to create impactful data models and AI applications in your previous roles.
Apply Through Our Website: We encourage you to submit your application through our website for a smoother process. It’s the best way for us to receive your details and get you into our system quickly!
How to prepare for a job interview at The Fuel Store
✨Know Your Data Inside Out
Before the interview, dive deep into the types of datasets you’ve worked with. Be ready to discuss specific examples where you extracted insights and created business value. This will show your expertise and ability to turn complex data into actionable outcomes.
✨Showcase Your Technical Skills
Make sure you’re comfortable discussing the programming languages and frameworks mentioned in the job description, like SQL, Python, and Azure. Prepare to explain how you've used these tools in past projects, especially in building AI pipelines or deploying models.
✨Prepare for Problem-Solving Questions
Expect to face scenario-based questions that test your problem-solving skills. Think of a few complex problems you've solved using data science techniques and be ready to walk through your thought process step-by-step. This will demonstrate your analytical mindset.
✨Ask Insightful Questions
At the end of the interview, have a few thoughtful questions prepared about the company’s data strategy or upcoming AI projects. This shows your genuine interest in the role and helps you gauge if the company aligns with your career goals.