Description
Worldpay is hiring a Lead Risk Data Scientist & ML Engineer to own the full lifecycle of fraud, credit, and AML detection models and AI-assisted workflows. The role covers model design, validation, deployment, monitoring, explainability, data pipelines, LLM and agent-based systems, regulatory governance, and cross-functional leadership. Candidates need 7+ years of data science, machine learning, or MLOps experience, production detection-model experience, Python and SQL proficiency, MLOps and AWS expertise, and familiarity with regulated financial services or fintech environments.
