Data Scientist

A Data Scientist at Lendable develops proprietary behavioural models using advanced machine learning techniques to inform market-facing underwriting and risk decisions. They focus on US unsecured loans and credit cards, analysing rich data sources to build market-leading risk models. Responsibilities include translating business challenges into data questions, applying rigorous modelling techniques, and communicating results effectively to stakeholders. The role involves self-serve deployment and monitoring of models, along with continuous experimentation and improvement. Strong skills in Python, SQL, data manipulation, and machine learning are essential, with experience in credit risk for consumer lending being advantageous. The position offers opportunities for collaboration, learning, and contribution to innovative financial solutions.