Staff Data Scientist

10+ years experience in commercial risk management in UK (ideally for SMB portfolio) Deep expertise and understanding of UK consumer bureau, commercial bureau and open banking data Experience building the end-to-end model development lifecycle Proficiency in SQL and at least one scripting language (ex. Python) Familiarity with developer best practices and production codebases Hands on experience in either of these MLOps infrastructure (ex. Chalk, Baseten, Metaflow, SageMaker, Vertex) Strong written and verbal communication skills Educational background in Statistics, Computer Science, Financial/Applied Math, Operations Research, Economics, or a related technical field (Masters/PhD is a plus)

Use statistical modeling to forecast small business cash flow & predictors of business health Assimilate diverse data views (commercial bureau, bank, consumer bureau) to build predictive models Calibrate strategies to serve target audience while managing risk-reward Use analytics and experimentation to improve customer experience Proactively explore datasets to uncover insights and prototype new model-driven features Deploy models & risk strategies into ML Ops infrastructure Monitor model & strategy performance and finetune strategies