Data Scientist - Model Developer / 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.
• Familiarity with Open Banking or Credit Bureau data.
• Experience in producing reliable and maintainable code in Python, with an ability to adapt to new languages and technologies.
• Experience of Model Risk Management, including technical documentation, coding best practices, 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 models used by our key underwriting programs.
• Explore and evaluate data using advanced feature generation and categorisation techniques to stay at the forefront of innovation.
• 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.
• Work cross-functionally to support key business initiatives and drive sustainable growth.

Technologies:

• AI
• Support
• Machine Learning
• Python
• Network

More:

We are a mission-led lending business focused on being a force for good. Our Data Science team develops machine learning and AI solutions to solve business problems and deliver actionable insights, working collaboratively with our business partners. This is a permanent hybrid role based in our Nottingham office, with three days in-office on Tuesdays, Wednesdays and Thursdays and two days remote. We offer strong career progression, training through our university programmes and external providers, and core benefits including pension, bonus, generous holiday entitlement, private medical insurance, flexible benefits, and access to open-plan workspaces with a fully serviced gym, subsidised restaurant, mindfulness and music rooms. We are committed to diversity, inclusion and accessible recruitment, and we support a range of internal networks and employee groups.

last updated 37 week of 2026