At a Glance
- Tasks: Design and implement cutting-edge GenAI systems that drive real business impact.
- Company: Join a leading UK fintech at the forefront of applied AI.
- Benefits: Competitive salary up to £110K, bonus, and flexible work in London.
- Other info: Collaborative environment with opportunities for rapid career growth.
- Why this job: Be part of a transformative team shaping the future of AI in finance.
- Qualifications: Hands-on experience with LLM applications and strong Python skills required.
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 is for someone who wants to work at the cutting edge of applied AI — building production‑grade agentic systems that have a real impact on the business.
The Role
This is a hands‑on position focused primarily on GenAI, with traditional ML work also in the mix. You’ll be designing agentic workflows, building evaluation frameworks, and bridging the gap between experimental prototypes and production reality — enabling teams across the business to build their own GenAI products.
Responsibilities
- 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
Senior Data Scientist - Gen AI employer: Burns Sheehan
Join a pioneering fintech company that champions innovation and creativity, offering a vibrant work culture where your contributions directly shape the future of applied AI. With flexible working arrangements in London, competitive salaries, and a strong emphasis on professional development, this role provides an exceptional opportunity for growth and collaboration in a dynamic environment focused on impactful technology solutions.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist - Gen AI
✨Tip Number 1
Network like a pro! Reach out to people in the fintech and AI space on LinkedIn. Join relevant groups and engage in discussions. 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 relevant work. This can be a game-changer during interviews, as it gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for those technical interviews! Brush up on your Python and SQL skills, and be ready to discuss your experience with LLMs and agentic frameworks. Practice common data science problems to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for you, and applying directly can sometimes give you an edge. Plus, we love seeing candidates who are proactive!
We think you need these skills to ace Senior Data Scientist - Gen AI
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to highlight your hands-on GenAI experience and relevant skills. We want to see how your background aligns with the role, so don’t be shy about showcasing your achievements in building LLM-powered applications!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about working at the cutting edge of applied AI. We love seeing candidates who can translate complex technical concepts into business solutions, so make that clear!
Showcase Your Projects:If you've worked on any projects related to GenAI or predictive ML models, be sure to mention them. We’re interested in your ability to bridge the gap between experimental prototypes and production reality, so share specific examples of your work!
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Burns Sheehan
✨Know Your GenAI Inside Out
Make sure you brush up on your knowledge of Generative AI and its applications. Be ready to discuss your hands-on experience with LLM-powered applications and how you've designed agentic workflows in the past. This will show that you're not just familiar with the theory but have practical insights to share.
✨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 you've written, and be ready to discuss your Git-based workflow. You might even want to do a live coding exercise, so practice explaining your thought process as you code.
✨Prepare for Technical Problem-Solving
Expect to face some technical questions that require you to translate non-technical business problems into effective technical solutions. Think of scenarios where you've had to bridge that gap before, and be prepared to walk through your thought process step-by-step.
✨Understand Evaluation Frameworks
Since building systematic evaluation frameworks is part of the job, be ready to discuss how you've measured accuracy and reliability in your previous projects. Bring specific examples of how you've optimised prompts and reasoning chains, and be prepared to talk about any adversarial testing you've implemented.
