Data Scientist / Statistician

Salary: £62,000 - 102,000 per year

Requirements

: A strong understanding of probability, statistics, machine learning, feature extraction and familiarity with large data set manipulation.Experience using deep learning models, particularly for sequential data.Familiarity with Open Banking or Credit Bureau data.Experience working with multi-modal data; in multiple formats from a variety of different sources.Experience in producing reliable and maintainable code in Python, with an ability to adapt to new languages and technologies.Experience of Model Risk Management; technical documentation, coding best practices, the importance of validation and ongoing monitoring.Natural curiosity and proactive engagement with all areas of the business, with a desire to ask questions, challenge the status-quo and identify where Data Science can add value.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. Responsibilities: Develop and maintain the machine learning models which define our competitive advantage in the financial services market.Explore and evaluate data, using advanced feature generation and categorisation techniques, in order to stay at the forefront of innovation.Analyse tabular and non-tabular data, such as text, logs, or time series, to produce powerful new insights.Consult on complex statistical test design, to efficiently learn our way into new areas of the market.Use a combination of business acumen, coding and statistical skills to navigate large amounts of data and extract actionable solutions, working cross-functionally to support key business initiatives and drive sustainable growth.

Technologies: AISupportMachine LearningPython

Network More: We are Capital One, a leading information-based technology company based in Nottingham, United Kingdom. Our Data Science team focuses on developing machine learning and AI solutions to solve business problems and deliver actionable insights. We offer a hybrid working model, with flexibility and a commitment to creating diverse and inclusive teams.

We provide strong career progression opportunities, extensive

Benefits

including private medical insurance and generous holiday entitlement, and a vibrant office environment designed to inspire and support our associates. last updated 29 week of 2026