Data Scientist II
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Before you apply
LocationPune, India
Typefull-time
SeniorityMid
Company size10,000+ people
PostedOct 29, 2026 · 1w ago
Verified live5d ago
At a glanceSummarised by Seekless from the posting.
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
Experience presenting data findings in a readable and insight driven format
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
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
Financial Institution or a Payments experience a plus
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
Bachelor’s or Master’s Degree in a Computer Science, Information Technology, Engineering preferred
Abide by Mastercard’s security policies and practices
Ensure confidentiality and integrity of information
Report any suspected security breaches
Complete all mandatory security trainings
Skills
Generative AI
Large Language Models (LLMs)
Agentic AI
prompt engineering
Python
Azure OpenAI
SQL
SQL Server
Microsoft BI Stack
SSIS
SSAS
SSRS
Tableau
Domo
PowerBI
Hadoop
R
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
About the role
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.
Responsibilities
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
Requirements
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.
Legal
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.