About the Role
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 in close collaboration with our business partners. This role will primarily focus on developing proprietary deep learning models to address critical business challenges in underwriting, and supporting our business partners as they develop advanced servicing products using Large Language Models.
What you’ll do
- Develop new deep learning approaches to advance our current underwriting models.
- Apply these to new types of (multi‑modal) data to stay at the forefront of innovation.
- Provide consultancy to our tech and product partners, to help design, develop and launch products powered by Large Language Models.
- Use a combination of business acumen, coding and statistical skills to navigate large amounts of data and extract actionable solutions.
- Work cross‑functionally on projects that support key business initiatives and drive sustainable growth.
The skills and experience you’ll need
- Experience developing and deploying deep learning models, particularly for sequential data (e.g., time series, language) using techniques such as LSTMs or transformers.
- Hands‑on experience with modern Machine/Deep Learning frameworks such as PyTorch, TensorFlow, or Hugging Face Transformers.
- Familiarity with both pre‑training and fine‑tuning of large‑scale models.
- Experience working with structured and unstructured data, such as text, logs, or time series and tokenisation techniques.
- A strong understanding of probability, statistics, machine learning and familiarity with large data set manipulation.
- Experience in producing reliable and maintainable code in Python, with an ability to adapt to new languages and technologies.
- Ability to communicate findings to a diverse business focused audience, influencing others in both verbal and written form.
- A drive for continued learning through an internal and external focus, in order to develop enterprise and industry leading solutions.
Where and how you’ll work
This is a permanent position based in our Nottingham or London office. We embrace a hybrid approach to work: three days a week in the office (Tuesday‑Thursday) and Monday and Friday dedicated work‑from‑home days. Our offices are designed to inspire and support you.
What’s in it for you
We invest in the growth of our people alongside our business. You will have extensive opportunities to learn and develop your career, including up to £5,000 in funding for external qualifications.
Benefits
- Competitive pension and performance‑based bonus schemes.
- 25 days of annual leave, increasing with tenure; you have the option to buy 5 additional days.
- Access premium care through our private medical insurance.
- Enhanced parental leave.
What you should know about how we recruit
Our culture is built around diversity, inclusion and belonging. We value diversity, inclusion and belonging at our core. If you require a reasonable adjustment, please contact ukrecruitment@capitalone.com. All information will be kept confidential and will only be used for the purpose of applying a reasonable adjustment.
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