At a Glance
- Tasks: Design AI tools for commercial insurance, analyse claims, and improve decision-making processes.
- Company: Fast-growing AI startup revolutionising the commercial insurance market.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Dynamic startup culture with hands-on, high-impact projects.
- Why this job: Join a cutting-edge team and make a real impact in the insurance industry.
- Qualifications: Experience in data science, Git, SQL, and cloud environments; familiarity with LLMs is a plus.
The predicted salary is between 60000 - 80000 £ per year.
Our client is a fast-growing AI startup building next-generation decision intelligence tools for the commercial insurance market. Their flagship platform analyses 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 insurance and startup/greenfield experience as a hands-on Data Scientist
- Comfortable with Git, SQL (Postgres) and cloud environments (Azure a plus)
- Experience working with LLMs or prompt-driven systems in product
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 Data Scientist will directly impact the development of cutting-edge decision intelligence tools. With a hybrid work model and a culture that fosters creativity and collaboration, you'll have ample opportunities for professional growth while working alongside industry experts in a fast-paced environment. Embrace the chance to shape the future of insurance technology in London, a hub for tech and finance.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Cornucopia IT Resourcing!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Scientist at Cornucopia IT Resourcing.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Cornucopia IT Resourcing.
✨Apply Directly through Our Website
When you find a suitable opening like Data Scientist at Cornucopia IT Resourcing, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Cornucopia IT Resourcing, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Cornucopia IT Resourcing. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Cornucopia IT Resourcing
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Cornucopia IT Resourcing!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
