At a Glance
- Tasks: Design and iterate AI models for commercial insurance, turning complex claims into actionable insights.
- Company: Fast-growing AI startup revolutionising the commercial insurance market.
- Benefits: Competitive salary, hybrid work, and opportunities for professional growth.
- Other info: Dynamic startup environment with hands-on, high-impact projects.
- Why this job: Join a cutting-edge team and make a real impact in the insurance industry.
- Qualifications: Strong data science experience, familiarity with insurance, and skills in Git and SQL.
The predicted salary is between 36000 - 60000 £ per year.
Our client is a fast-growing AI startup building next-generation decision intelligence tools for the commercial insurance market. Their flagship platform analyzes complex claims to identify leakage, litigation risk, fraud indicators, coverage issues and operational weaknesses — turning unstructured documents into structured, actionable insight. They operate at the cutting edge of applied GenAI, working directly with insurers, managing agents and TPAs in the Lloyd’s and US markets. This is a hands‑on, high‑impact role in a fast, iterative startup environment.
What You’ll Be Doing
- Designing and iterating LLM prompt pipelines (claims summarisation, audit, fraud/leakage detection, coverage checks)
- Working directly with long, unstructured claim documents (PDFs, reports, adjuster notes)
- Building evaluation frameworks to validate AI outputs against real evidence
- Identifying hallucinations, bias and gaps in reasoning
- Writing Python for data pipelines, orchestration and evaluation
- Querying Postgres, working in Azure environments, using GitHub
- Supporting client pilots and translating feedback into product improvements
- Using AI coding tools (Copilot, Cursor, LLMs) to accelerate development
What We’re Looking For
- Strong hands on data scientist experience
- Strong insurance and startup/greenfield experience
- Comfortable with Git, SQL (Postgres) and cloud environments (Azure a plus)
- Experience working with LLMs or prompt‑driven systems in production
Senior Data Scientist employer: Cornucopia IT Resourcing
Join a dynamic AI startup at the forefront of innovation in the commercial insurance sector, where your contributions as a Senior Data Scientist will directly impact the development of cutting-edge decision intelligence tools. Enjoy a collaborative and fast-paced work culture that fosters creativity and growth, with opportunities to work on meaningful projects that transform complex data into actionable insights. Located in London, this hybrid role offers the flexibility to balance work and life while being part of a passionate team dedicated to pushing the boundaries of applied AI.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those working in AI and insurance. Attend meetups or webinars, and don’t be shy to slide into DMs on LinkedIn. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving LLMs or data pipelines. Share it during interviews or even on your LinkedIn profile. It’s a great way to demonstrate your hands-on experience and make you stand out.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python and SQL skills. Practice coding challenges and be ready to discuss your past projects in detail. We want to see how you tackle real-world problems, so think through your approach and be ready to explain it!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search. So, get your application in and let’s get the conversation started!
We think you need these skills to ace Senior Data Scientist
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your hands-on experience as a data scientist, especially in the insurance sector. We want to see how your skills align with our needs, 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 excited about working with us at StudySmarter and how your background in AI and data science can contribute to our mission in the commercial insurance market.
Showcase Your Technical Skills:We’re looking for someone comfortable with Python, SQL, and cloud environments. Make sure to mention specific tools and technologies you’ve used, especially if you’ve worked with LLMs or prompt-driven systems. This will help us see your fit for the role!
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about what we do at StudySmarter!
How to prepare for a job interview at Cornucopia IT Resourcing
✨Know Your Data Science Stuff
Make sure you brush up on your data science fundamentals, especially around LLMs and prompt-driven systems. Be ready to discuss your hands-on experience with Python, SQL, and cloud environments like Azure. They’ll want to see how you can apply your skills in real-world scenarios.
✨Understand the Insurance Landscape
Familiarise yourself with the commercial insurance market and the specific challenges it faces. Knowing about claims processing, fraud detection, and operational weaknesses will help you connect your technical skills to their business needs. It shows you’re not just a techie but also understand the industry.
✨Prepare for Practical Tests
Expect to tackle some practical exercises during the interview. This could involve designing LLM prompt pipelines or building evaluation frameworks. Practise coding on platforms like GitHub and be ready to demonstrate your problem-solving skills in real-time.
✨Show Your Startup Spirit
This role is in a fast-paced startup environment, so highlight your adaptability and willingness to iterate quickly. Share examples of how you've thrived in similar settings, and be prepared to discuss how you handle feedback and pivot when necessary. They’ll appreciate your proactive approach!
