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Data & Analytics Verified Opening

Mastercard is Hiring Data Scientist I

AI & Data • Pune, Maharashtra

Mastercard Logo
Full-Time
Pune, India (411006)
Job ID: R-278159

Experience
Not Specified
Qualification
Bachelor's / Master's
Salary (Est.)
₹12–₹25 LPA
Work Mode
Not Specified
Student 1 Student 2 Student 3
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YOUR NEXT DATA ANALYST INTERVIEW
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Prepare across SQL, Excel, Power BI, Python, Statistics, Business Analytics & more — all in one structured guide.

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Last Updated: September 2026
Offer Price
₹149 ₹999
Expires in: 06h 00m 00s

Inspired by Interview Trends Across:

• Top Tech Product Companies • Big 4 Consulting Firms • Global Analytics Centers • High-Growth Startups • Fortune 500 Companies • Top Tech Product Companies

Job Overview

Mastercard is hiring a Data Scientist I for its AI & Data team in Pune, India. The role focuses on developing generative AI and machine learning solutions to support Anti-Money Laundering (AML) transaction monitoring and regulatory compliance.

The selected candidate will work with technologies such as large language models (LLMs), Retrieval-Augmented Generation (RAG), LangChain, LangGraph, Python, and cloud platforms. This opportunity is suited to candidates with strong AI/ML expertise who want to build, evaluate, and deploy production-ready AI systems in a financial technology environment.

This opportunity is ideal for candidates searching for:

  • Mastercard Data Scientist jobs in Pune
  • Generative AI engineer jobs in India
  • Machine learning jobs involving LLMs and RAG
  • AI/ML jobs in financial services and risk management

Key Responsibilities

  • Implement generative AI models and applications for AML transaction monitoring.
  • Build solutions using RAG, Model Context Protocol (MCP), tool calling, LangChain, and LangGraph.
  • Develop machine learning pipelines for fine-tuning LLMs and other foundation models.
  • Implement content-generation systems for text, images, and multimodal outputs.
  • Apply computer vision techniques for image analysis, creative generation, and visual search.
  • Develop evaluation frameworks for generative AI applications including hallucination detection and bias checks.
  • Build observability and monitoring solutions for latency, cost, and model performance.
  • Develop scalable AI solutions using AWS, Azure, and Databricks.
  • Integrate AI models into production systems with a focus on performance, security, and compliance.
  • Promote engineering best practices, innovation, and collaboration.

Skills & Technologies

AI & Machine Learning

Generative AI LLMs & Transformers RAG & LangChain LangGraph PyTorch / TensorFlow Model Fine-Tuning Prompt Engineering Multimodal AI Computer Vision

Data Engineering & Platforms

Python AWS / Azure Databricks MLOps (CI/CD) AI Observability API Development

Professional Skills

  • Strong analytical and problem-solving abilities.
  • Ability to work in a fast-paced, high-impact environment.
  • Excellent communication and stakeholder collaboration.
  • Commitment to engineering best practices and continuous learning.

Eligibility & Preferences

  • Education Requirement: Bachelor's or Master's degree in Computer Science or equivalent.
  • Experience Required: The job description does not specify a minimum number of years of professional experience. Candidates should review the official listing for any additional eligibility requirements.
  • Preferred Qualifications: The JD emphasizes exposure to MLOps, cloud platforms, AI observability, multimodal systems, and production deployment as highly relevant capabilities.

How to Apply

1

Click Apply Button

Scroll down and click the primary orange "Apply Now" button below.

2

Visit Mastercard Portal

You will be redirected to the official careers portal. Search for Job ID R-278159 if required.

3

Submit Application

Ensure your resume highlights your Python, LLMs, RAG, and Machine Learning experience before submitting.


⚠️ Data roles at top MNCs fill up rapidly. Apply as soon as possible.

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