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Manager, Data Science role at Mastercard in Pune leading a Data Science team to drive insights and predictive analytics across business functions.
Seeking a seasoned leader with strong ML, data engineering and storytelling skills to translate strategy into actionable data solutions.
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 ScienceOverview The Global Business Solutions Center (GBSC), Strategy, Data & Insights team is built upon strong contributors with leadership abilities, consulting mindsets, and strong project management skills. The group acts as an internal consultant supporting the Shared Services Organization, which today supports four primary verticals: Finance, People & Capability, Sales & Marketing, and Legal, Franchise & Integrity.
We’re seeking a highly skilled and motivated Manager, Datra Science to join our team. The Manager, Data Science plays a critical role in building and scaling a Data Science organization. This role sits at the intersection of business strategy, data, and storytelling—translating complex data into clear, actionable insights that inform leadership decisions and drive measurable business outcomes. The Manager will lead a team of Data Scientists in developing advanced insights, shaping data-driven narratives, and enabling decision-making—evolving the organization from descriptive reporting to proactive, strategic, and predictive analytics. This is a role for builders and collaborators—people who love blank slates, freedom to innovate, and helping teammates succeed.
Job Description
Role
Responsibilities and tasks for the Manager, Data Science:
- • Lead and develop the Data Science team by setting clear priorities and performance expectations aligned to strategy, providing technical and people leadership, and promoting best practices across model development, validation, documentation, and deployment.
- • Drive efficiency and continuous improvement by tracking initiative success, refining processes, and implementing new methods and analytical approaches.
- • Partner with business leaders to translate strategy into data science use cases, delivering clearly communicated, actionable insights and serving as a trusted advisor on data driven decisions.
- • Oversee the design and delivery of predictive, statistical, and machine learning models, ensuring analytical approaches are explainable, scalable, and grounded in rigorous experimentation, hypothesis testing, and causal analysis to address key business questions.
- • Partner with data engineering, platform, and analytics teams to ensure high quality, usable data, enable production ready analytics and models, and influence data science tooling, architecture, and methodologies.
- • Establish and enforce standards for model governance and lifecycle management, ensuring responsible, explainable analytics and compliance with data privacy, security, and regulatory requirements.
- • Stay current on emerging data science techniques and tools, applying new technologies and frameworks to improve team productivity and enhance the efficiency and impact of analytics solutions.
- • Measure and communicate the business impact of data science initiatives
All About You
- • Undergraduate degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or related field
- • Proven track record of delivering analytics or machine learning solutions that drive business outcomes
- • Prior experience as a People Leader of Data Science teams.
- • Advanced knowledge of data science programming languages (R, Python, etc)
- • Experience working with large datasets and modern data platforms (e.g., cloud, distributed systems)
- • Experience with model deployment, monitoring, and lifecycle management
- • Ability to translate complex analytical concepts into clear, executive level insights
- • Experience framing ambiguous business problems into structured analytical approaches
- • Proven ability to develop technical talent with a strong prioritization and delivery mindset in fast paced environments.
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:
Abide by Mastercard’s security policies and practices;
Ensure the confidentiality and integrity of the information being accessed;
Report any suspected information security violation or breach, and
Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.