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- Tasks: Lead advanced analytics for Generative AI tools and improve software delivery.
- Company: Join a leading engineering team focused on AI-driven development.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Shape the future of AI in engineering and make a real impact.
- Qualifications: Strong data science background and experience with GenAI tools.
- Other info: Dynamic role with potential for significant career advancement.
The predicted salary is between 60000 - 80000 £ per year.
A highly advanced engineering function requires a Data Scientist/GenAI Specialist to join their team. They are investing heavily in Generative AI and modern engineering tools to improve productivity, quality, and software delivery at scale. They now seek someone to lead advanced analytics across Generative AI tools and shape how AI-driven development is measured, understood, and improved across the enterprise.
You will define and deliver the data science strategy for evaluating GenAI tools such as GitHub Copilot and Claude, identifying where they add the most value, where outcomes vary, and what drives those differences across teams, workflows, and engineering contexts. Your work will directly influence how AI tools are adopted, governed, and optimised across global engineering teams.
- Lead the analytical strategy for GenAI and AI tool adoption across engineering
- Identify adoption drivers, blockers, and best practices for AI-enabled development
- Translate complex analysis into clear, actionable insight for engineering leaders
- Partner with engineering, product, and programme teams to shape AI strategy
Strong background in data science within software engineering environments. Experience working with SDLC, deployment pipelines, and DORA metrics. Proven ability to translate complex analysis into actionable business insight. Familiarity with GenAI tools, especially coding assistants like GitHub Copilot.
You will shape how one of the world’s largest engineering organisations understands and scales AI-driven development - turning cutting-edge analytics into real-world engineering transformation.
Please apply immediately for further details & a confidential discussion.
Data Scientist / Data Engineer in Sheffield employer: GL Global
Contact Detail:
GL Global Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist / Data Engineer in Sheffield
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working with GenAI tools. Attend meetups or webinars related to data science and AI; you never know who might have a lead on your dream job!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving AI tools like GitHub Copilot. This will give potential employers a taste of what you can do and how you think.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of SDLC and DORA metrics. Be ready to discuss how you've used data science to drive insights in previous roles, as this will resonate well with hiring managers.
✨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 the attention it deserves.
We think you need these skills to ace Data Scientist / Data Engineer in Sheffield
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Data Scientist/GenAI Specialist. Highlight your experience with Generative AI tools and any relevant projects you've worked on that showcase your skills in data science within software engineering environments.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI-driven development and how your background aligns with our goals at StudySmarter. Be specific about your experience with tools like GitHub Copilot and how you can contribute to our team.
Showcase Your Analytical Skills: In your application, don’t forget to mention any experience you have with advanced analytics and translating complex data into actionable insights. This is key for the role, so give us examples of how you've done this in past projects or roles.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications better and ensures you get all the updates directly from us. Plus, it shows you're keen on joining the StudySmarter family!
How to prepare for a job interview at GL Global
✨Know Your GenAI Tools
Make sure you’re well-versed in Generative AI tools, especially GitHub Copilot. Familiarise yourself with how these tools work and their impact on software development. Being able to discuss specific use cases and outcomes will show your depth of knowledge.
✨Understand the Software Development Lifecycle
Brush up on your understanding of the Software Development Lifecycle (SDLC) and deployment pipelines. Be ready to discuss how data science can enhance these processes and improve productivity. This will demonstrate your ability to integrate data science into engineering contexts.
✨Translate Data into Actionable Insights
Prepare examples of how you've turned complex data analysis into clear, actionable insights in previous roles. This is crucial for the position, as you'll need to communicate findings effectively to engineering leaders.
✨Collaborate and Communicate
Highlight your experience working with cross-functional teams, such as engineering, product, and programme teams. Show that you can partner effectively to shape AI strategies and drive adoption across the organisation.