Mastercard

Mastercard

Posted via Workday

Data Scientist II

Apply by Nov 20, 2026

Posted Oct 29, 2026

Role at a glance

Job function
AI & Data Data Science
Salary
Not Disclosed
Location
Pune, India
Employment
Full-time
Education
Bachelor’s or Master’s Degree in a Computer Science, Information Technology, Engineering preferred.

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Role Summary

AI-generated

The Data Scientist II role supports the Ethoca Smart Subscriptions team within Mastercard’s Consumer Clarity suite by building advanced reporting and data visualization capabilities on large volumes of data to support product and innovation.

What You'll Do

  • Architect, develop and maintain advanced reporting and data visualization capabilities on large volumes of data to support product and...
  • Translate business requirements into tangible solution specifications and high quality, on time deliverables
  • Create repeatable processes to support development of modeling and reporting
  • Effectively use tools to manipulate large-scale databases, synthesize data insights, and present 1st level insights and findings via...
  • Apply quality control, data validation, and cleansing processes to new and existing data sources

Generated from the employer's posting. Verify important details before applying.

View full posting

Qualifications

Data scientist role requiring advanced SQL, reporting and analytics skills, and experience with Generative AI and Python; a computer science, IT, or engineering degree is preferred.

Required

  • Experience with Generative AI, Large Language Models (LLMs), Agentic AI systems, prompt engineering and AI powered workflow automation
  • Experience developing GEN AI solutions using Python, Azure open AI services and modern orchestration frameworks
  • Experience in data management, data mining, data analytics, data reporting, data product development and quantitative analysis
  • Experience presenting data findings in a readable, insight-driven format and building support decks
  • Advanced SQL coding
  • Experience on Platforms/Environments: SQL Server, Microsoft BI Stack
  • Excellent problem solving, quantitative and analytical skills
  • In-depth technical knowledge, drive and ability to learn new technologies

Preferred

  • Financial Institution or Payments experience
  • Experience on SQL Server Integration Services (SSIS), SQL Server Analysis Services (SSAS) and SQL Server Reporting Services (SSRS)
  • Experience in building data models
  • Experience with data visualization tools such as Tableau, Domo, PowerBI
  • Experience with Hadoop environments, Python, R
  • Bachelor’s or Master’s Degree in a Computer Science, Information Technology, Engineering

Original job description

Content provided by the employer

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 II

Job Title
Data Scientist II


Who is Mastercard?

Mastercard is a global technology company in the payments industry. Our mission is to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart and accessible.
Using secure data, networks, partnerships, and innovation, we help individuals, financial institutions, governments and businesses realize their greatest potential. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all.

Ethoca Smart Subscriptions Overview

Ethoca Smart Subscriptions, part of Mastercard’s Consumer Clarity suite, enables issuers to provide customers with seamless visibility and control over their subscription payments directly within banking applications.
The team builds scalable, API-driven platforms that identify, enrich, and manage subscription payments, helping reduce disputes, improve transparency, and enhance customer experience.
Engineers work on high-impact, cloud-native solutions integrated with Mastercard’s global infrastructure, delivering real-time insights and actions for millions of users.


Role

•. Architect, develop and maintain advanced reporting and data visualization capabilities on large volume of data in order to support product and innovation.
• Translate business requirements into tangible solution specifications and high quality, on time deliverables
• Create repeatable processes to support development of modeling and reporting
• Effectively use tools to manipulate large-scale databases, synthesizing data insights. Provide 1st level insights/conclusions/assessments and present findings via Excel and PowerPoint.
• Apply quality control, data validation, and cleansing processes to new and existing data sources

All About You

• Experience with Generative AI, Large language Models (LLMs), Agentic AI systems, prompt engineering and AI powered workflow automation.
• Experience developing GEN AI solutions using Python, Azure open AI services and modern orchestration frameworks.
• Ability to leverage AI agents and advanced analytics to automate business processes, generate actionable insights and improve decision making at scale.
• Experience in data management, data mining, data analytics, data reporting, data product development and quantitative analysis
• Financial Institution or a Payments experience a plus
• Experience presenting data findings in a readable and insight driven format. Experience building support decks.
• Advanced SQL coding
• Experience on Platforms/Environments: SQL Server, Microsoft BI Stack
• Experience on SQL Server Integration Services (SSIS), SQL Server Analysis Services (SSAS) and SQL Server Reporting Services (SSRS) will be an added advantage
• Experience in building data models a plus
• Experience with data visualization tools such as Tableau, Domo, PowerBI a plus
• Experience with Hadoop environments, Python, R, a plus
• Excellent problem solving, quantitative and analytical skills
• In depth technical knowledge, drive and ability to learn new technologies
• Strong attention to detail and quality
• Team player, excellent communication skills
• Must be able to interact with management, internal stakeholders and collect requirements
• Must be able to perform in a team, use judgment and operate under ambiguity


Education
• Bachelor’s or Master’s Degree in a Computer Science, Information Technology, Engineering preferred.


Corporate Security Responsibility

Every person working for, or on behalf of, Mastercard is responsible for information security. The candidate must:
• Abide by Mastercard’s security policies and practices
• Ensure confidentiality and integrity of information
• Report any suspected security breaches
• Complete all mandatory security trainings

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.




Mastercard

About the company

Mastercard

Large Enterprise

Mastercard is a global technology company in the payments industry, committed to empowering individuals and businesses through secure and efficient payment solutions. With a presence in over 210 countries, Mastercard connects consumers, financial institutions, merchants, and governments, enabling seamless transactions across various platforms. The company is at the forefront of innovation, focusing on enhancing financial inclusion and expanding access to digital payment technologies. Through its advanced network and partnerships, Mastercard continues to revolutionize the way people engage in commerce worldwide.