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For Companies At a Glance
- Tasks: Analyse data, build AI pipelines, and develop automation tools to drive business insights.
- Company: Innovative firm in Birmingham City Centre focused on AI and data science.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Why this job: Join a cutting-edge team and lead impactful AI projects from start to finish.
- Qualifications: Degree qualified or demonstrable experience in Azure environments.
- Other info: Dynamic workplace with a focus on innovation and collaboration.
The predicted salary is between 36000 - 60000 £ 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 / Data Scientist 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 / Data Scientist in Birmingham
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, especially those involving AI and LLMs. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding the latest trends in data science. Practice common interview questions and be ready to discuss your past projects in detail.
✨Tip Number 4
Don’t forget to apply through our website! We love seeing candidates who are genuinely interested in joining us. Tailor your application to highlight how your experience aligns with our needs in data analysis and AI.
We think you need these skills to ace Data Analyst / Data Scientist in Birmingham
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Data Scientist / AI Engineer. Highlight your experience with Generative AI and LLMs, and don’t forget to showcase any projects where you've turned complex datasets into actionable insights.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us about your passion for data science and how your skills align with our needs. Share specific examples of how you've led AI projects from start to finish.
Showcase Your Technical Skills: We want to see your technical prowess! Make sure to list your experience with Python, SQL, and Azure clearly. If you’ve worked with AI pipelines or data visualisation tools like Power BI, shout about it!
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, we love seeing candidates who take that extra step!
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 in handling both structured and unstructured data.
✨Showcase Your AI Pipeline Skills
Prepare to talk about your experience designing and optimising AI pipelines. Bring examples of LLM-powered applications or automation tools you've developed. Highlight how these projects improved operational efficiency or delivered financial value.
✨Brush Up on Your Tech Stack
Make sure you're comfortable discussing the programming languages and frameworks mentioned in the job description, like Python, SQL, and Azure. Be ready to explain how you've used these technologies in past projects, especially in cloud environments.
✨Demonstrate Problem-Solving Abilities
Think of a few complex problems you've solved using data science techniques. Be prepared to walk through your thought process and the steps you took from ideation to deployment. This will showcase your ability to lead AI projects effectively.