As a Senior Data Scientist you will lead research, development and client-focused innovation across our fraud analytics portfolio by creating solutions that strengthen fraud detection, digital trust and risk decisioning across markets. You will evaluate and integrate data assets while balancing multiple concurrent projects, anticipating risks and deliver outcomes. You will invent machine learning, graph, behavioural and GenAI methods to structured and unstructured data; and convert prototypes into reusable capabilities on the Ascend platform. The product scope includes fraud analytics and decisioning solutions, unified digital intelligence, device fingerprinting and behavioural intelligence, trade-delete and credit-washing analytics, GenAI fraud assistants. You will report to Director of Data Science and GenAI. What you'll do: Analyze large-scale fraud, credit, device, behavioral and digital-interaction data to identify risk and trust signals. Develop fraud models, scores, attributes, device profiles and graph-based capabilities for AFS and related solutions. Apply advanced machine learning, graph analytics, deep learning and GenAI methods to complex fraud challenges. Evaluate and measure value of new data assets. Build scalable data pipelines, reusable analytical tools, automation templates and production-ready solutions on Ascend. Validate model performance, stability, fairness, explainability and growth. Lead analytical and productization workstreams. Apply advanced algorithms to business problems and move solutions from research or prototype into production or client use. Translate technical findings into recommendations. Partner across multiple geographically distributed teams. Mentor colleagues, share expertise and promote responsible AI and reproducible practices. Maintain knowledge of fraud trends, digital intelligence, regulation, GenAI and latest analytical technologies. Measure benefits and explain trade-offs.