Manager, Data Science

Mastercard Inc.; Pune District; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Mastercard Inc. in Pune, India seeks a Manager of Data Science to lead a growing team at the intersection of business strategy, data and storytelling.

You will guide model development, validation and deployment while ensuring explainable analytics that drive leadership decisions and measurable outcomes. You will partner with cross-functional teams to translate strategy into data-focused use cases, deliver actionable insights, and elevate data-driven decisions across finance, sales and

Qualifications

• 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.

Responsibilities

• 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

Skills

People leadership

Data storytelling

Strategic analytics

Stakeholder management

Advanced statistics

Data visualization

Education

Undergraduate degree in Data Science or related field

Tools

Python

R

Cloud platforms

SQL

Job description

Title and Summary Manager, Data Science Overview

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.

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.

Everyone wants easier ways to pay; we invent them. Checkout lines are slow; we speed them along. Merchants want more sales; we give them data and insights. People need financial access; we connect them. Corporate purchasing is complicated; we make it simple. Commuters are busy; we speed them on their way. Governments need greater efficiencies; we help create them. Small businesses are virtual; we give them access to a world of buyers. Retailers want to fight fraud; we provide the tools.