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- Tasks: Design and build 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 plus bonus, with flexible remote work.
- Other info: Work in a dynamic environment with opportunities for professional growth.
- Why this job: Be part of an innovative team shaping the future of AI in finance.
- Qualifications: Hands-on GenAI experience 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.
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.
- Building systematic evaluation frameworks to measure accuracy, reliability, and tool-use performance
- Developing predictive ML models and analysing business data for opportunities
- Implementing responsible AI guardrails and adversarial testing
- 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
Senior Data Scientist Senior Data Scientist in London employer: Burns Sheehan
Contact Detail:
Burns Sheehan Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist Senior Data Scientist in London
✨Tip Number 1
Network like a pro! Reach out to folks 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 Python and SQL skills, and be ready to discuss how you’ve implemented responsible AI guardrails in your past work. Practising common interview questions can help you feel more confident when it’s time to shine.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Senior Data Scientist Senior Data Scientist in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your hands-on experience with GenAI and traditional ML. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects and achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about applied AI and how you can contribute to our mission. Keep it engaging and personal – we love to see your personality come through.
Showcase Your Technical Skills: Don’t forget to mention your production-quality Python skills and SQL expertise. We’re looking for someone who can hit the ground running, so highlight any relevant tools or frameworks you’ve worked with in your application.
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. Plus, it’s super easy!
How to prepare for a job interview at Burns Sheehan
✨Know Your GenAI Inside Out
Make sure you brush up on your GenAI knowledge before the interview. Be ready to discuss your hands-on experience with LLM-powered applications and how you've built agentic workflows in the past. This will show that you're not just familiar with the concepts but have actually applied them in real-world scenarios.
✨Showcase Your Python Skills
Since this role requires strong production-quality Python skills, 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 your technical proficiency in action.
✨Prepare for Systematic Evaluation Questions
Expect questions about building evaluation frameworks and measuring model performance. Think of specific instances where you've implemented responsible AI guardrails or conducted adversarial testing. Sharing these experiences will highlight your analytical skills and understanding of ML model evaluation.
✨Understand the Business Impact
This position is all about making a real impact on the business, so be prepared to discuss how your work as a Data Scientist has driven business outcomes in the past. Think about opportunities you've identified through data analysis and how your predictive models have influenced decision-making. This will demonstrate your ability to bridge the gap between data science and business needs.