Job Description
Senior Data Scientist - Graph Analytics, AI and Financial Crime Role purpose To design, develop, deploy and optimise advanced analytics, machine-learning and graph-based solutions that generate actionable insight from complex, interconnected enterprise data. The Senior Data Scientist will support high-impact banking use cases across fraud detection, financial crime, customer intelligence and AI/GenAI enablement. The role will be accountable for end-to-end model development, graph analytics, feature engineering, performance optimisation and production deployment within the bank's enterprise data and cloud environments. Key responsibilities Advanced analytics and machine learning Design, build and deploy predictive, classification, anomaly-detection and clustering models for complex business and risk use cases. Apply machine-learning techniques to identify fraud patterns, suspicious behaviour, financial-crime risk indicators and customer relationship insights. Develop robust model featur...