Principal Data Scientist

• Define the technical roadmap and architecture for the full fraud suite: transaction fraud detection, 3DS friction reduction, enrolment fraud, merchant fraud, cardholder risk scoring, CSR-quality NLP scoring, the internal RAG chatbot, and the agentic digital-CSR system.
• Lead an organization of ~20 , including senior data scientists - set standards, grow talent, align teams on priorities, and resolve both internal and external conflicts .
• Own the most complex client escalations : when banks report missed fraud or false declines, lead the root‑cause analysis, drive systemic pipeline improvements, and discover new features that raise precision and recall across the suite.
• Champion feature and model innovation - set the bar for hypothesis‑driven EDA, evaluate emerging techniques (deep learning, LLMs, RAG, agentic AI), and decide where to invest.
• Engage executives and clients directly - represent...

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