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A leading financial services firm is seeking a Data Scientist to develop innovative deep learning solutions for underwriting models. The ideal candidate will have experience with LSTMs or transformers and a strong background in Python programming. This role offers a hybrid working model, competitive benefits, and opportunities for career advancement within a diverse and inclusive team.
White Collar Factory (95009), United Kingdom, London, London
Data Scientist - Deep Learning Practitioner
Our Data Science team focuses on the development of Machine Learning and Deep Learning solutions to solve business problems and deliver actionable insights. We are a talented, collaborative and enthusiastic group who use our expertise to derive insights from complex data, working closely with our business partners.
We are committed to creating a level playing field and welcome candidates from under‑represented groups. We particularly encourage applications from women, the LGBTQ+ community, and ethnic minorities.
This is a permanent position based in our Nottingham or London office.
We have a hybrid working model: you’ll be in the office three days a week (Tues‑Wed‑Thu) and can work from home on Monday and Friday.
Many of our associates have flexible working arrangements, and we’re open to discussing a setup that works for you.
We pride ourselves on hiring the best people, not the same people. Building diverse and inclusive teams is the right thing to do and the smart thing to do. We want to work with top talent: whatever you are, whatever you look like, wherever you come from. We focus on what you do, not just what you say.
Capital One is committed to diversity in the workplace.
If you require a reasonable adjustment, please contact All information will be kept confidential and will only be used for the purpose of applying a reasonable adjustment.
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.