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Mastercard

Processes payments across a global network

Data Scientist 2

Business IntelligenceConfirmed live in the last 24 hours
Full-timePune, Maharashtra, IndiaNo salary listedIn-person

About the Job

Requirements

  • 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, 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, insight-driven format and building support decks.
  • Advanced SQL coding experience.
  • Experience with SQL Server and the Microsoft BI Stack.
  • Excellent problem-solving, quantitative, and analytical skills.
  • In-depth technical knowledge and ability to learn new technologies.
  • Strong attention to detail and quality.
  • Ability to interact with management and internal stakeholders and collect requirements.
  • Ability to perform in a team, use judgment, and operate under ambiguity.
  • Bachelor’s or Master’s degree in Computer Science, Information Technology, or Engineering is preferred.
  • Must abide by Mastercard’s security policies and practices, ensure confidentiality and integrity of information, report suspected security breaches, and complete mandatory security training.

Responsibilities

  • Architect, develop, and maintain advanced reporting and data visualization capabilities on large volumes of data to support product and innovation.
  • Translate business requirements into tangible solution specifications and high-quality, timely deliverables.
  • Create repeatable processes to support the development of modeling and reporting.
  • Use tools to manipulate large-scale databases, synthesize data insights, provide first-level insights, conclusions, and assessments, and present findings via Excel and PowerPoint.
  • Apply quality control, data validation, and cleansing processes to new and existing data sources.

Desired Qualifications

  • Financial institution or payments experience.
  • Experience with SQL Server Integration Services (SSIS), SQL Server Analysis Services (SSAS), and SQL Server Reporting Services (SSRS).
  • Experience building data models.
  • Experience with data visualization tools such as Tableau, Domo, or Power BI.
  • Experience with Hadoop environments, Python, or R.

About the Company

Mastercard

Processes payments across a global network

Mastercard operates a global payment network connecting financial institutions, merchants, businesses and consumers. It authorizes, clears and settles transactions between participating institutions, while banks issue Mastercard-branded cards and extend credit to their customers. Its services also include fraud detection, identity verification, payment tokenization, data analysis and consulting for organizations managing commerce and financial operations. The company earns network fees linked to payment volumes and processed transactions, along with fees for its services and solutions. Founded by a group of banks in 1966, Mastercard is headquartered in Purchase, within Harrison, New York.

Company size
10,001+
Company stage
IPO
Headquarters
Town of Harrison, New York
Founded
1966

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