Data Scientist

A data scientist is responsible for developing and testing credit risk models to support lending and credit card products in London. They utilise machine learning and data analysis techniques to improve underwriting accuracy and decision-making processes. The role involves working with large data sets, programming in Python and SQL, and communicating insights to stakeholders. Candidates should have experience with data manipulation packages like NumPy and Pandas, and possess knowledge of machine learning methodologies and their advantages and disadvantages. The position requires a proactive approach, confidence in collaborative environments, and the ability to lead projects independently. Technical skills like data engineering and credit risk experience are desirable assets for this role.