Job Description Join Shift as a Senior Data Scientist and play a key role in shaping our analytical capabilities. You’ll collaborate closely with executives, product teams, and risk experts to design and deliver powerful statistical and machine learning models focused on credit risk, fraud detection, and profitability. Your work will directly influence business strategy, ensuring data quality and strong model governance. What You’ll Do: Partner with executive, product, risk, and frontline teams to define analytical goals and project scope Manage modelling projects end-to-end, ensuring alignment with business benefits and executive buy-in Translate complex statistical concepts and model outcomes into clear, actionable business insights Design, develop, and validate a broad suite of models including credit risk (PD, LGD, EAD), provisioning, fraud, and profitability Optimise credit strategies through robust modelling and insightful reporting Continuously improve machine learning architecture and research new modelling techniques to drive innovation Develop and deploy models using Python, working closely with technology teams to maintain production quality Validate and manage the integrity of diverse data sources such as bank statements, credit bureaux, and financial reports Oversee model monitoring and governance systems for internal and executive use Coach and mentor junior data scientists, facilitating knowledge sharing and team growth
