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Data Scientist II

Pune, Mahārāshtra, India

Live, first seen by us 16 days ago
Pay
Pay not listed
Work setting
Not stated
Employment
Not stated

What you’ll work on

Full posting
  • Build and maintain advanced reporting and data visualization on large data volumes

  • Translate business requirements into solution specifications and on-time deliverables

  • Create repeatable processes for modeling and reporting

  • Present findings via Excel and PowerPoint with first-level insights

  • Apply quality control, data validation and cleansing to data sources

From the employer’s posting
Architect, develop and maintain advanced reporting and data visualization capabilities on large volume of data
Translate business requirements into tangible solution specifications and high quality, on time deliverables
Create repeatable processes to support development of modeling and reporting
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

What you’ll bring

All qualifications

Core experience

  • Advanced SQL coding
  • Experience in data management, mining, analytics, reporting and quantitative analysis
  • Experience with GenAI solutions using Python and Azure OpenAI services
  • Experience with SQL Server and Microsoft BI stack
  • Excellent problem solving, quantitative and analytical skills
Qualification wording
Advanced SQL coding
Experience in data management, data mining, data analytics, data reporting, data product development and quantitative analysis
Experience developing GEN AI solutions using Python, Azure open AI services and modern orchestration frameworks.
Experience on Platforms/Environments: SQL Server, Microsoft BI Stack
Excellent problem solving, quantitative and analytical skills
Education & alternatives
• 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
Apply at Mastercard

Posting record

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Status in our records
Live
First seen by us
Oct 29, 202616 days ago
Recorded sightings
17
Last seen by us
Nov 14, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 16

Similar jobs usually come down between day 8 and day 60.

At Mastercard, jobs usually come down by about day 25.

From 11,873 similar postings that came down, and 270 of Mastercard’s. Coming down is not always a hire.

Mastercard is hiring

70 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Data Scientist hiring is steady
  • Takes jobs down quickly
  • 9% of open jobs were reposted
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • R
  • SQL
  • Azure
  • Hadoop
  • Power BI
  • SQL Server
  • SSAS
  • SSIS
  • SSRS
  • Tableau
Where the posting names them
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.

Your next step

Complete your application on mastercard.wd1.myworkdayjobs.com. The employer’s form will show what is required.

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Already applied? Track this application

Has Mastercard posted this job before?

Yes. We’ve followed 3 other Data Scientist II jobs there since April 2026. 3 came down, usually after about 5 days.

  1. GurugramCame down after 5 days, first seen Apr 28
  2. GurugramCame down after 19 days, first seen Aug 11
  3. GurugramCame down after 0 days, first seen Sep 3
  4. This jobUp 16 days so far, first seen Oct 29

Large employers often post one title for several teams, so these can be separate openings.

About Mastercard

People
About 39,800 in 2025, up 13% from the year before.Annual report (SEC Form 10-K)
Company
Listed as MA.
H-1B visas
36 approved for new hires in fiscal 2025.US Citizenship and Immigration Services

Demand for Data Scientist roles

New Data Scientist postings at the employers we follow are down 4% over the last 6 weeks compared with the 6 before.

Weekly new Data Scientist postings at the same employers, from the week of August 17 to the week of November 2. The fewest in a week was 1,403, the most 2,949, and the latest week had 2,098.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 6 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Data Scientist, by the work the posting describes.

Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.

Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.

Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.

US government figures for data scientists

Median yearly pay, May 2025
$120,230
Expected change, 2025 to 2035
34.6% more jobsagainst 3.5% for all jobs

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.

Job description

View original posting ↗

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.




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Pune, Mahārāshtra, India

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