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For Companies 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: Earn up to £110K plus bonuses, with flexible remote work options.
- Other info: Work in a collaborative environment with opportunities for rapid career growth.
- Why this job: Be part of a dynamic 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.
- 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 in City of London employer: Burns Sheehan
Contact Detail:
Burns Sheehan Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist - Gen AI in City of London
✨Tip Number 1
Network like a pro! Reach out to people in the fintech and AI space on LinkedIn. Join relevant groups, attend meetups, and don’t be shy about asking for informational interviews. 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 and any predictive ML models you've developed. This is your chance to demonstrate your hands-on experience and make a lasting impression on potential employers.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical knowledge, especially around LLM-powered applications and evaluation frameworks. Practice explaining complex concepts in simple terms, as you’ll need to bridge the gap between tech and business.
✨Tip Number 4
Apply through our website! We’ve got loads of exciting opportunities, and applying directly can sometimes give you an edge. Plus, it’s a great way to show your enthusiasm for working with us at StudySmarter!
We think you need these skills to ace Senior Data Scientist - Gen AI in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your hands-on experience with GenAI and ML. We want to see how you've designed workflows and built evaluation frameworks, so don’t hold back on those details!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you're passionate about applied AI and how your skills can make a real impact at our fintech. Keep it engaging and relevant to the role.
Showcase Your Projects: If you've worked on any LLM-powered applications or have experience with Python and SQL, make sure to include those projects in your application. We love seeing practical examples of your work!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity!
How to prepare for a job interview at Burns Sheehan
✨Know Your GenAI Inside Out
Make sure you’re well-versed in the latest trends and technologies in Generative AI. Brush up on your hands-on experience with LLM-powered applications and be ready to discuss specific projects where you've designed agentic workflows or built evaluation frameworks.
✨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. This will show that you can deliver production-quality work.
✨Translate Tech to Business
Be prepared to discuss how you’ve translated complex technical concepts into solutions for non-technical stakeholders. Think of examples where your data analysis led to actionable business insights, as this will highlight your ability to bridge the gap between tech and business.
✨Prepare for Problem-Solving Questions
Expect questions that test your problem-solving skills, especially around evaluating non-deterministic models and implementing responsible AI guardrails. Practice articulating your thought process clearly, as this will demonstrate your analytical capabilities and readiness for real-world challenges.