Time since we first saw it
Day 15
Similar jobs usually come down between day 8 and day 60.
At Mastercard, jobs usually come down by about day 25.
From 11,848 similar postings that came down, and 268 of Mastercard’s. Coming down is not always a hire.
Pune, Mahārāshtra, India
Live, first seen by us 15 days agoBuild 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
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
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
• 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
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 15
Similar jobs usually come down between day 8 and day 60.
At Mastercard, jobs usually come down by about day 25.
From 11,848 similar postings that came down, and 268 of Mastercard’s. Coming down is not always a hire.
72 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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.
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.
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Yes. We’ve followed 3 other Data Scientist II jobs there since April 2026. 3 came down, usually after about 5 days.
Large employers often post one title for several teams, so these can be separate openings.
New Data Scientist postings at the employers we follow are down 4% over the last 6 weeks compared with the 6 before.
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.
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.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
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 IIJob TitleCorporate 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.
Selected passages from the saved posting. Check the full description for conditions and exceptions.
No pay amount identified in the saved description.
Pune, Mahārāshtra, India
Working pattern and location restrictions need checking in the full posting.
No clear work-authorization passage found. Eligibility is unconfirmed.