Data Scientist

The Data Scientist at Lendable develops credit risk models to support underwriting and pricing of loan and credit card products, primarily in the US market. They leverage machine learning techniques alongside extensive data sources to improve risk assessments and underwriting quality. Responsibilities include analysing business problems, translating them into data questions, and implementing data-driven solutions. The role requires proficiency in Python, SQL, and data manipulation packages, as well as good communication skills for stakeholder engagement. The candidate should be self-driven, able to lead projects, and interested in machine learning engineering, with prior experience in credit risk preferred. This position involves collaboration across teams, innovation in experiment design, and deployment of models and tools in a supportive technical environment.