Company Careers ·
full-timeManager, Data Science
Mastercard · Pune
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 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. 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.
| Role | Manager, Data Science |
|---|---|
| Company | Mastercard |
| Location | Pune |
| Type | full-time |
| Compensation | Not disclosed |
| Posted | 2026-10-22 |
| Deadline | Rolling |
Typical process for this type of role
A general guide — the exact steps for this specific listing may vary; check the original posting for details.
- 1ApplicationSubmit your resume through the apply link.
- 2ScreeningRecruiter reviews your background against the role.
- 3AssessmentA technical test, assignment, or coding round, depending on the role.
- 4Interview(s)One or more rounds with the hiring team.
- 5OfferOffer letter with compensation and start date.
Before you apply
0/4Manager, Data Science at Mastercard: frequently asked questions
- What is the salary for this role?
- Mastercard has not stated compensation in the listing. Check the original posting or ask during the application process.
- Is the Manager, Data Science position remote, hybrid or onsite?
- The listing gives Pune as the location and does not state a work mode.
- What is the application deadline?
- Mastercard has not listed a fixed deadline, so apply early in case the opening is filled.
- How do I apply for the Manager, Data Science role?
- Use the Apply button on this page. It opens the original listing on mastercard.wd1.myworkdayjobs.com, where you submit your application with the company.
More at Mastercard
Other jobs at Mastercard
- Senior Specialist, Product Management - Commercial Strategy, Pricing & Go-to-market · Gurgaon
- Lead Software Engineer - Java Spring Boot, Kafka And Event-driven Architecture · Pune
- Senior Analyst, Risk Management · Pune
- Software Engineer II | Data & AI Platform · Pune
- Lead Software Integration Engineer(quality Engineer) · Pune
Explore Related Placements
// similar opportunities
You might also like
Data Science Manager
Gocardless
About us GoCardless, a Mollie company, is a global leader in bank payments. Over 100,000 businesses, from start-ups to household names, use GoCardless to collec...
Sr. Manager, Data Science
Hims And Hers
Hims & Hers is the leading health and wellness platform, on a mission to help the world feel great through the power of better health. We are redefining healthc...
Manager, Product Experience Design
Mastercard
Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sust...
Manager, Audit
Mastercard
Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sust...
Data Scientist
Cloudflare
About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of ...
Senior Manager, Data Science - Marketing Analytics & Data Science
ABC
Senior Manager, Data Science - Marketing Analytics & Data Science ABC Agency job via Majoris Technologies by vaishnavi uttam...