Are you passionate about data, economics, and programming in R? Here’s an exciting opportunity to work with one of the world’s leading financial technology companies. Mastercard is hiring a Software Engineer – R for its prestigious Mastercard Economics Institute (MEI) in Gurgaon.
This role is ideal for professionals who enjoy transforming complex data into meaningful insights and building scalable analytical solutions. If you love working at the intersection of data science, economics, and engineering, this could be your next big career move.
📌 Job Overview
- Company: Mastercard
- Role: Software Engineer – R
- Location: Gurgaon, India
- Category: Engineering
- Job Type: Full-Time
- Job ID: R-273995
- Application Deadline: May 28, 2026
🌍 About Mastercard Economics Institute (MEI)
The Mastercard Economics Institute (MEI) is a cutting-edge economics lab launched in 2020. It plays a crucial role in shaping economic thought leadership by analyzing global trends through the lens of consumer behavior.
The institute leverages anonymized and aggregated data from Mastercard’s global network, combined with public datasets, to generate actionable insights for:
- Businesses and clients
- Policymakers
- Global partners
The insights produced by MEI are shared through reports, presentations, media contributions, and commercial products, helping organizations make informed decisions in a rapidly evolving economic landscape.
💼 About the Role
As a Software Engineer – R, you will be part of the Data Systems Engineering team, working closely with economists, data scientists, and engineers. Your primary responsibility will be to develop tools, visualizations, and applications that communicate economic insights effectively.
This is not just a coding role—you will also contribute to storytelling through data by creating compelling visualizations and interactive dashboards.
🧠 Key Responsibilities
In this role, you will:
📊 Data Visualization & Insights
- Create clear and compelling visualizations to communicate economic insights
- Develop interactive charts using libraries like Plotly, Highcharts, and D3.js
🧩 R Development & Automation
- Build reusable R functions and packages for analysis and automation
- Write efficient and maintainable code using best practices
📄 Reporting & Documentation
- Develop analytical content using:
- R Markdown
- Quarto
- Ensure outputs are well-structured and easy to understand
🌐 Application Development
- Design and build scalable Shiny applications
- Develop interactive web-based dashboards
🔗 Front-End Integration
- Work with JavaScript frameworks like:
- React
- Angular
- Vue.js
🗄️ Data Handling
- Work with databases and platforms such as:
- SQL
- Hadoop
🤝 Collaboration
- Use Git for version control and team collaboration
- Work closely with cross-functional teams including:
- Economists
- Data Scientists
- Product Owners
- Engineers
🔧 Required Skills & Qualifications
To succeed in this role, you should have strong technical expertise combined with a passion for data and analytics.
🔹 R Programming
- Proficiency in R and IDEs like:
- RStudio
- Positron
- Strong experience with packages like:
- dplyr for data transformation
🔹 Code Quality & Documentation
- Familiarity with:
- roxygen2 for documentation
- Ability to write clean, reusable, and well-documented code
🔹 Version Control
- Experience with:
- Git
- GitHub / Bitbucket
🔹 Database Skills
- Strong knowledge of SQL
- Experience working with relational databases
🔹 Data & Analytics Mindset
- Passion for data, coding, and technology
- Ability to translate complex data into meaningful insights
🤝 Soft Skills & Work Style
Mastercard is looking for individuals who can thrive in a collaborative and dynamic environment:
- Strong communication and storytelling skills
- Ability to work both independently and in teams
- Excellent organizational and prioritization skills
- Comfort working with diverse stakeholders across domains
- Creative thinking and problem-solving ability
🌟 Why Join Mastercard?
Joining Mastercard offers a unique blend of technology, innovation, and global impact.
🔹 Work on Real-World Economic Problems
Contribute to insights that influence business decisions and public policy.
🔹 Cutting-Edge Tools & Technologies
Work with modern tools like R, Shiny, JavaScript frameworks, and big data platforms.
🔹 Collaborative Environment
Interact with economists, data scientists, and engineers in a multidisciplinary team.
🔹 Global Exposure
Be part of a global organization with a strong reputation in digital payments and analytics.
🔹 Career Growth
Opportunities to grow in data engineering, analytics, and visualization domains.
📩 How to Apply
Ready to take the next step in your career?
👉 Application Link: Click Here
🤝 Referral Tip
Want to improve your chances of getting noticed?
Connect with someone at Mastercard and request a referral—it can significantly enhance your visibility in the hiring process.
📢 Final Thoughts
The Software Engineer – R role at Mastercard is a rare opportunity for professionals who want to combine technical expertise with economic analysis. It offers a platform to work on impactful projects, build scalable solutions, and contribute to global thought leadership.
If you are skilled in R programming, data visualization, and analytics, and you enjoy working in a collaborative, innovative environment, this role is definitely worth exploring.
📝 Application Details
🗓️ Last Date to Apply: May 28, 2026
🆔 Job ID: R-273995
Make sure to apply before the deadline and tailor your resume to highlight:
- R programming expertise
- Data visualization projects
- Experience with Shiny apps or dashboards
- SQL and data handling capabilities
✅ Pro Tips for Applicants
- Showcase your portfolio of dashboards or data visualization projects
- Include links to GitHub repositories or R packages if available
- Highlight experience with R Markdown / Quarto reporting
- Demonstrate your ability to work with cross-functional teams
