At a Glance
- Tasks: Design and implement cutting-edge GenAI systems that drive business impact.
- Company: Join a leading UK fintech known for innovation and collaboration.
- Benefits: Competitive salary up to £110K, bonus, and flexible work options.
- Other info: Dynamic role with opportunities for growth and responsible AI implementation.
- Why this job: Make a real difference in the fintech space with your GenAI expertise.
- Qualifications: Experience with LLM applications, strong Python skills, and data manipulation.
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 in London employer: Burns Sheehan
As a leading UK fintech, we pride ourselves on fostering a dynamic and inclusive work culture that encourages innovation and collaboration. Our London office offers a vibrant environment where Senior Data Scientists can thrive, with access to cutting-edge technology and opportunities for professional growth through mentorship and continuous learning. Join us to be part of a forward-thinking team that values your contributions and supports your career aspirations while enjoying the benefits of a competitive salary and bonus structure.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist - Generative AI in London
✨Tip Number 1
Network like a pro! Reach out to folks in the fintech and AI space on LinkedIn. A friendly chat can open doors that applications alone can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your GenAI projects. This is your chance to demonstrate your hands-on experience and make a lasting impression.
✨Tip Number 3
Prepare for the interview by brushing up on your technical knowledge. Be ready to discuss your experience with LLMs and how you've tackled real-world problems using data science.
✨Tip Number 4
Don't forget to apply through our website! We want to see your application, and it’s the best way to ensure it gets into the right hands quickly.
We think you need these skills to ace Senior Data Scientist - Generative AI in London
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. This will show your potential employer that you’re not just familiar with the theory but have practical, hands-on experience.
✨Showcase Your Python Skills
Since strong Python skills are a must for this role, prepare to demonstrate your coding abilities. Bring examples of clean, tested code from previous projects, and be ready to discuss your Git-based workflow. This will help the interviewers see how you approach coding challenges and maintain quality in your work.
✨Prepare for Technical Problem-Solving
Expect to tackle some technical problems during the interview. Practice translating non-technical business problems into effective technical solutions. This could involve discussing how you would design a system or evaluate a model. Being able to articulate your thought process clearly will impress the interviewers.
✨Understand Responsible AI Practices
Familiarise yourself with responsible AI guardrails and adversarial testing. Be prepared to discuss how you would implement these practices in your work. Showing that you prioritise ethical considerations in AI development will resonate well with a fintech company focused on trust and reliability.
