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Building Credit Risk, Fraud, and Pricing Analytics teams across the UK | The Talent Driving The Data and AI Revolution
SENIOR DATA SCIENTIST
LONDON
A leading FinTech, recognised as one of the UK’s fastest-growing and most profitable, is seeking a Senior Data Scientist to join their dynamic team. This is a fantastic opportunity to work in an award-winning, data-driven company that is rapidly expanding. With a strong focus on machine learning-driven credit risk models, this role offers hands-on exposure to cutting-edge techniques in an innovative, fast-paced environment.
THE COMPANY
This company has been a pioneer in the Fintech space, with a strong market presence. Their unsecured portfolio has seen massive growth, surpassing 1 million customers this year. The business is highly regarded for its lean, high-performance teams, a culture of ownership, and an exceptional work environment.
THE ROLE
You will work on high-impact projects, collaborating closely with leadership. Your responsibilities will include, but are not limited to:
* Developing credit risk predictive models, including scorecards and pricing models.
* Deploying and monitoring models, ensuring end-to-end implementation.
* Conducting deep-dive analysis into lending trends, driving business insights.
* Working in a fast-moving FinTech environment, where independence and ownership are highly valued.
SKILLS AND EXPERIENCE
* 2-4 years' experience in Data Science, with a focus on scorecard modelling.
* Strong Python & SQL skills, with solid ML modelling experience.
* Background in credit/lending – understanding how decisioning models impact the business.
* Experience in FinTech preferred (not banking).
* STEM degree from a Russell Group university – strong academic background required.
* Ability to work independently and own projects from start to finish.
BENEFITS
* Equity
* Private Health Insurance
* Hybrid Working
HOW TO APPLY
If you’re looking to take the next step in your career with a forward-thinking organisation, please submit your CV to Dominic Castro via the Apply link on this page.
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Finance and Other
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