Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Lead Data Scientist Services within Mastercard is responsible for acquiring, engaging, and retaining customers by managing fraud and risk, enhancing cybersecurity, and improving the digital payments experience. We provide value-added services and leverage expertise, data-driven insights, and execution. The Cyber and Intelligence Solutions team is responsible for innovation, development and management of our products and services to address evolving risk and security needs for all of Mastercard’s customers across the world including Banks, Merchants, Fintechs and of course consumers. The Lead Data Scientist will be a key contributor in helping Mastercard develop and deliver actionable insights and products to help issuers, acquirers and merchants reduce fraud. You will be a key player in helping Mastercard extract value from existing data sources in order to better understand, detect and prevent fraud. Use your data science expertise and skills to analyze worldwide fraud data to gain insights regarding fraud. Apply modeling techniques to identify and understand fraud to protect the MasterCard payment network.



Build and manage new fraud related products and services that will provide value to our customers and increase revenue. Record of accomplishment in learning and applying current techniques and data analysis languages. Experience writing complex queries to efficiently extract and manipulate large amounts of data. Experience with Python and Spark for data manipulation is required. Hands-on experience designing, building, or deploying agentic AI systems, such as LLM-based agents that plan, use tools, and execute multi-step tasks autonomously, is strongly preferred. Familiarity and experience with UNIX highly desired. Subject matter expertise in payments, cards, and /or fraud or proven ability to learn and master new subject matter areas. Excellent inter-personal skills, able to work with colleagues remotely as well as in –person. Mathematics, Statistics, Physics, Computer Science, Decision Science or Engineering). In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact reasonable_accommodation@mastercard.
Do not include any medical or health information in this email. Corporate Security Responsibility Abide by Mastercard’s security policies and practices; Report any suspected information security violation or breach, and In line with Mastercard’s total compensation philosophy and assuming that the job will be performed in Canada, the successful candidate will be offered a competitive pay based on location, experience and other qualifications for the role and may be eligible to participate in a discretionary annual incentive program. Toronto, Canada: $127,000
- $203,000 CAD #

📌 Lead Data Scientist (Canada)
🏢 Mastercard
📍 Canada