Senior Data Scientist

b Overview /b p As a Senior Data Scientist in Mastercard’s Financial Crime Solutions team, you will develop, deploy, and support ML solutions to prevent financial crime in the global payments ecosystem. You’ll focus on Account-to-Account fraud, scams, and mule detection, helping institutions identify advanced risks. You will work with cross-functional teams to deliver measurable value, improve detection, and evolve models with changing fraud patterns. This role offers the opportunity to shape strategies and deploy scalable data-driven solutions in production. /p b Responsibilities /b ul li Configure, validate, and deploy ML models for customers worldwide /li li Conduct Proof-of-Value exercises to demonstrate model performance and business impact /li li Research, develop, and evaluate fraud, scam, and mule detection solutions /li li Support and improve production models as fraud patterns evolve /li li Collaborate with Product, Customer Delivery, and Data Science teams to enhance solutions /li li Analyze complex datasets to improve detection performance and outcomes /li li Foster a culture of learning, continuous improvement, and practical problem solving /li /ul b Key requirements /b ul li Experience developing, evaluating, and deploying ML models in a commercial environment /li li Strong proficiency in Python for data science and ML /li li Experience with structured and large-scale datasets /li li Ability to apply scientific thinking and analytical approaches to complex problems /li li Strong communication skills to explain technical concepts to diverse audiences /li li Curiosity, willingness to challenge assumptions, and continuous improvement /li li Ability to work independently while collaborating across teams /li li Customer-focused mindset and understanding of data science value /li /ul ul li curiosity /li li communication /li li independence with collaboration /li li Python /li li PySpark /li li distributed data processing /li /ul