At a Glance
- Tasks: Design and implement cutting-edge GenAI systems that drive business impact.
- Company: Join a leading UK fintech with a focus on innovation.
- Benefits: Competitive salary up to £110K, bonus, and flexible work options.
- Other info: Inclusive hiring practices with a focus on skills and abilities.
- Why this job: Be at the forefront of AI technology and shape the future of finance.
- Qualifications: Experience in LLM applications, strong Python skills, and data manipulation expertise.
The predicted salary is between 110000 - 110000 € per year.
We're partnering with a leading UK fintech to find a Senior Data Scientist with hands-on GenAI experience. This role focuses on building production-grade agentic systems that impact the business.
Responsibilities include:
- Designing and implementing core logic for GenAI agents, including tool definitions that allow LLMs to interact with internal systems
- Building systematic evaluation frameworks to measure accuracy, reliability, and tool-use performance
- Developing predictive ML models and analysing business data for opportunities
- Rapidly prototyping applications to validate technical feasibility with stakeholders
- Optimising prompts, reasoning chains, and agentic patterns for production use
- Implementing responsible AI guardrails and adversarial testing
Requirements:
- Hands-on experience building LLM-powered applications – tool use, RAG, agentic frameworks
- Strong, production-quality Python (clean, tested, Git-based workflow)
- Experience evaluating non-deterministic and ML models systematically
- Solid SQL and data manipulation skills
- Ability to translate non-technical business problems into effective technical solutions
Burns Sheehan Ltd will consider applications based only on skills and ability and will not discriminate on any grounds.
Senior Data Scientist - Generative AI employer: Burns Sheehan
As a leading UK fintech, we pride ourselves on fostering a dynamic and innovative work culture that empowers our employees to thrive. With a focus on cutting-edge technology and meaningful projects, we offer competitive salaries, generous bonuses, and opportunities for professional growth in the heart of London. Join us to be part of a collaborative team that values creativity and encourages the development of groundbreaking solutions in the world of Generative AI.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist - Generative AI
✨Tip Number 1
Network like a pro! Reach out to folks in the fintech and AI space on LinkedIn. A friendly message can go a long way, and you never know who might have the inside scoop on job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your GenAI projects or any predictive ML models you've built. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for those interviews! Brush up on your Python and SQL skills, and be ready to discuss how you've tackled non-technical business problems with technical solutions. Practice makes perfect!
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find roles that match your skills. Plus, it shows you're serious about joining our team in the exciting world of GenAI.
We think you need these skills to ace Senior Data Scientist - Generative AI
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your hands-on experience with GenAI and LLM-powered applications. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about fintech and how your background makes you the perfect fit for this Senior Data Scientist role. Let us know what excites you about working with us!
Showcase Your Technical Skills:We’re looking for solid Python and SQL skills, so make sure to mention any relevant projects or experiences. If you’ve built production-grade systems or worked on ML models, we want to hear about it!
Apply Through Our Website:To make sure your application gets the attention it deserves, apply directly through our website. It’s the best way for us to keep track of your application and get back to you quickly!
How to prepare for a job interview at Burns Sheehan
✨Know Your GenAI Inside Out
Make sure you’re well-versed in generative AI concepts and applications. Brush up on your experience with LLM-powered applications and be ready to discuss specific projects where you've implemented these technologies.
✨Showcase Your Python Skills
Since strong Python skills are a must, prepare to demonstrate your coding abilities. Bring examples of clean, tested code from previous projects, and be ready to explain your Git-based workflow.
✨Prepare for Technical Questions
Expect questions about evaluating ML models and systematic approaches to data manipulation. Be prepared to discuss how you’ve tackled non-deterministic problems and the frameworks you’ve used to measure performance.
✨Translate Tech to Business
Practice explaining complex technical solutions in simple terms. Think of examples where you successfully translated business problems into effective technical solutions, as this will show your ability to bridge the gap between tech and business.
