Visa, via its Featurespace fraud and risk unit in Cambridge, is seeking a Data Scientist to join a dedicated team. You will build and deploy ML models across the full lifecycle, collaborating with product and engineering teams, monitoring models in production, and contributing to governance and knowledge sharing in a hybrid work setup.
You will work with colleagues who have deep fraud and risk experience, taking ownership of end-to-end analytical products and driving impact for customers and the
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Fraud & Risk Data Scientist - ML for Payments (Hybrid) in Cambridge employer: Visa
Visa is an exceptional employer that fosters a dynamic work culture, encouraging innovation and collaboration among its employees. With a strong focus on professional development, Visa offers numerous growth opportunities and the chance to work on cutting-edge financial technologies in a global environment. Located in a vibrant area, employees benefit from a supportive atmosphere that values diversity and inclusion, making it a rewarding place to build a meaningful career.
