Manager Data Scientist

Our Purpose

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.

Title And Summary

Manager Data Scientist

About Mastercard

Mastercard is a leading global technology company in the payments industry. Our mission is to connect and empower an inclusive, digital economy that benefits everyone, everywhere, by making transactions safe, simple, smart, and accessible. Leveraging secure data, robust networks, strategic partnerships, and our commitment to innovation, we enable individuals, financial institutions, governments, and businesses to realise their full potential. With a presence in over 210 countries and territories, we are dedicated to building a sustainable world that unlocks priceless possibilities for all, driven by our core value of decency.

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About The Team

The Optimization Solutions team focuses on enhancing digital payment performance across all Mastercard products and regions. As consumer preferences evolve towards digital payments, we prioritise delivering a seamless and secure experience. The team analyses digital performance metrics, identifies factors influencing outcomes, and monitors broader industry trends. We generate actionable, data-driven insights and recommendations, collaborate with external stakeholders to implement optimisation solutions, and work cross-functionally to ensure alignment and execution.

Position : Manager – Data Scientist

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The Role

As part of the Optimization Solutions team, the role involves :

• Collaborating with global teams to develop and maintain advanced analytics and data science tools.
• Building machine learning solutions to generate actionable insights for product optimization and sales enablement.
• Prototyping, experimenting with, and evaluating new algorithms.
• Driving product evolution through data science and engineering.
• Designing self-running AI systems to automate predictive models.
• Performing data ingestion, aggregation, and processing on high-volume, high-dimensional data.
• Innovating with new tools, techniques, and technologies to solve business problems.
• Applying metrics, measurements, and benchmarking to complex solutions.

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All About You

Education & Experience :

Technical Skills

Analytical & Communication Skills

Work Style

Corporate Security Responsibility

All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must :

Skills Required

Airflow, Hadoop, Power Bi, Tableau, Impala, Sql, Software Architecture, Hive, Spark, Data Structures, Python