At a Glance
- Tasks: Create and improve AI models for underwriting decisions using cutting-edge technology.
- Company: Join a forward-thinking underwriting company in the heart of London.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Be part of a dynamic team focused on real-world applications of AI.
- Why this job: Make a real impact by solving business challenges with innovative AI solutions.
- Qualifications: Experience in data science, NLP, and collaboration with tech teams.
The predicted salary is between 63000 - 77000 £ per year.
CFC Underwriting is seeking a mid‑level Data Scientist to join the Data & AI team in London.
You will work on production‑grade ML/LLM systems for underwriting decisions, from prototyping with stakeholders to delivering live, measurable improvements.
You will apply NLP, large language models, and rigorous evaluation to real business challenges, partnering with ML engineers and software developers to scale and monitor solutions in production.
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Production AI Data Scientist - LLMs for Underwriting (London) employer: CFC Underwriting
CFC is an exceptional employer that fosters a dynamic and collaborative work environment in the heart of London. With a strong focus on employee growth, we offer numerous opportunities for professional development and innovation within our operations team. Our commitment to driving efficiencies and best practices ensures that every day presents new challenges and rewards, making it an ideal place for those looking to make a meaningful impact in the insurance industry.
StudySmarter Expert Advice🤫
We think this is how you could land Production AI Data Scientist - LLMs for Underwriting (London)
✨Get Involved in Data Science Meetups
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We think you need these skills to ace Production AI Data Scientist - LLMs for Underwriting (London)
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!
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Craft a Tailored Cover Letter:For a full-time role at CFC Underwriting, 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 CFC Underwriting. 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 CFC Underwriting
✨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!
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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
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✨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.
