Company Careers ·
full-timeData Scientist (data Visualisation)
Mastercard · Gurgaon
Mastercard is a global payments technology company that processes digital transactions and provides insights through its Economics Institute. The Data Scientist (Data Visualisation) role sits within the Mastercard Economics Institute, where the incumbent will turn economic research into clear, compelling graphics for internal and external audiences. Day‑to‑day tasks include building reusable R or Python functions and packages, producing analytical documents with R Markdown or Quarto, writing well‑documented code, and cleaning, transforming and aggregating data using SQL and relational databases. The position also involves collaborating with engineers, product owners and economists to prioritise work across multiple projects while maintaining version‑controlled repositories. Candidates should have 1–3 years of experience creating data visualisations, proficiency in R or Python, familiarity with version‑control concepts, and the ability to communicate insights visually. A passion for data storytelling, strong collaborative skills, and comfort working both independently and in cross‑functional teams are essential.
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 Data Scientist (Data Visualisation) Overview • The Mastercard Economics Institute (MEI) is an economics lab powering scale at Mastercard by owning economic thought leadership in support of Mastercard’s efforts to build a more inclusive and sustainable digital economy • The Economics Institute was launched in 2020 to analyze economic trends through the lens of the consumer to deliver tailored and actionable insights on economic issues for customers, partners and policymakers • The Institute is composed of a team of economists and data scientists that utilize & synthesize the anonymized and aggregated data from the Mastercard network together with public data to bring powerful insights to life, in the form of 1:1 presentations, global thought leadership, media participation, and commercial work through the company’s product suites About the Role We are looking for a Data Scientist to join Mastercard’s Economics Institute, reporting to the team lead for Data Systems Engineering. An individual who will: • create clear, compelling data visualisations that communicate economic insights to diverse audiences • develop reusable functions and packages to support analysis and automation • create and format analytical content using R Markdown and/or Quarto • write clear, well-documented code that others can understand and maintain All About You • passionate about using data visualisations to tell stories • 1–3 years experience in creating data visualisations • proficient in R or Python • proficient in using code to clean data, transform, and aggregate data • familiar with version control concepts and tools for collaborative development • experience writing SQL and working with relational databases • creative and passionate about data, coding, and technology • strong collaborator who can work independently, prioritise across multiple projects, and work effectively with engineers, product owners, and economists 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 | Data Scientist (data Visualisation) |
|---|---|
| Company | Mastercard |
| Location | Gurgaon |
| Type | full-time |
| Compensation | Not disclosed |
| Posted | 2026-10-06 |
| 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
0/4Data Scientist (data Visualisation) 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 Data Scientist (data Visualisation) position remote, hybrid or onsite?
- The listing gives Gurgaon 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 Data Scientist (data Visualisation) 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.
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