Data Scientist II

Posted Yesterday
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Pune, Maharashtra, IND
Hybrid
Entry level
Blockchain • Fintech • Payments • Consulting • Cryptocurrency • Cybersecurity • Quantum Computing
We are a global technology company in the payments industry.
The Role
Develop advanced reporting, data visualization, data models, and analytical solutions using large-scale datasets. Translate business requirements into deliverables, build repeatable modeling and reporting processes, manipulate databases, and provide actionable insights through presentations. Apply data validation and cleansing, while developing generative AI solutions with Python, Azure OpenAI, LLMs, agentic systems, and workflow automation.
Summary Generated by Built In
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.

Skills Required

  • Experience with Generative AI, large language models, agentic AI systems, prompt engineering, and AI-powered workflow automation
  • Experience developing generative AI solutions using Python, Azure OpenAI services, and modern orchestration frameworks
  • Ability to leverage AI agents and advanced analytics to automate business processes and generate actionable insights
  • Experience in data management, data mining, data analytics, data reporting, data product development, and quantitative analysis
  • Experience presenting data findings and building support decks
  • Advanced SQL coding
  • Experience with SQL Server and the Microsoft BI Stack
  • Excellent problem-solving, quantitative, and analytical skills
  • Strong attention to detail and quality
  • Excellent communication and teamwork skills
  • Ability to interact with management, collect requirements, use judgment, and operate under ambiguity
  • Bachelor's or Master's degree in Computer Science, Information Technology, or Engineering
  • Experience with SSIS, SSAS, and SSRS
  • Experience building data models
  • Experience with Tableau, Domo, or Power BI
  • Experience with Hadoop environments, Python, or R
  • Financial institution or payments experience

What the Team is Saying

Jenny
Mastercard

Mastercard Compensation & Benefits Highlights

  • Retirement Support — Retirement matching is described as a standout element of the package, with a notably high employer contribution and access to financial-planning resources. Feedback suggests this materially boosts long-term total compensation value.
  • Parental & Family Support — Paid new-parent leave of at least 16 weeks and financial assistance for fertility, adoption, and surrogacy are emphasized as major strengths. These offerings support familial needs across multiple life stages.
  • Leave & Time Off Breadth — Generous PTO, personal days, sick time, holidays, and paid volunteer days are consistently highlighted. Feedback suggests these allowances compare favorably and meaningfully enhance work-life balance.

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The Company
HQ: Purchase, NY
38,800 Employees
Year Founded: 1966

What We Do

Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re building a resilient 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.

Why Work With Us

We live the Mastercard Way: creating value in the communities we touch, growing together through the opportunities we see, and moving fast to innovate and scale. Our collaborative culture and our passionate people are the key to what we do, driving meaningful change as one team and connecting everyone to priceless possibilities.

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About our Teams

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Hybrid Workspace

Employees engage in a combination of remote and on-site work.

In our ongoing workplace evolution, we’ve introduced hybrid work, Work-From-Elsewhere Weeks and Meeting-Free Days.

Typical time on-site: 3 days a week
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