Senior/Lead Data Scientist

Salary: £48,000 - 70,000 per year

Requirements:

• Experience building and deploying machine learning models end to end, from raw data to production
• Strong feature engineering skills, ideally with transactional or financial data
• Proficiency in Python and SQL, with experience working in AWS environments
• Solid understanding of classification modeling techniques for risk or fraud use cases
• Experience partnering closely with engineering teams to bring models into production
• Strong communication skills, with the ability to work cross-functionally with Credit Modeling and Fraud teams
• A curious, ownership-driven mindset, comfortable building infrastructure and processes from scratch
• Experience with open banking data or affordability modeling is a plus
• Familiarity with building dashboards for model monitoring, ideally with tools like Databricks is a plus
• Experience with monitoring and observability tools such as Datadog is a plus
• Background in underwriting, credit risk, or fraud detection use cases is a plus
• Please include a CV in English

Responsibilities:

• Build the analytical foundation that turns raw bank account data into reliable, actionable insight for fraud prevention and underwriting decisions
• Engage in feature engineering across incoming and outgoing cash flows to model affordability
• Develop machine learning models that estimate probability of default and produce fraud scorecards
• Own the full lifecycle of these models, from raw data through to production deployment
• Work closely with engineering to operationalize models at scale
• Help monitor model performance, impact, and acceptance rates through dashboards we help build
• Partner closely with the Credit Modeling and Fraud teams to align on shared goals and infrastructure

Technologies:

• AWS
• Databricks
• Datadog
• Machine Learning
• Python
• SQL
• Cloud

More:

We are hiring a Senior Data Scientist for our Open Banking team in London. This is a full-time role with a salary range of 81,425 to 116,438 GBP. In this role, we build the analytical foundation that turns raw bank account data into reliable, actionable insight for fraud prevention and underwriting decisions. We invite candidates who are curious to learn more about us and what it is like to work here by exploring our career site.

last updated 35 week of 2026