Join As Data Scientist I At Mastercard | Apply Now
Job Overview:
| Company | Mastercard |
|---|---|
| Job Role | Data Scientist I |
| Job ID | R-278159 |
| Work Location | Pune, India |
| Job Type | Full time |
| Experience | Freshers / Experienced |
| Qualification | B.Sc / M.Sc / B.Tech / M.Tech |
| Salary | Not disclosed |
| Careers Page | www.mastercard.com |
Skills: Python PyTorch TensorFlow GenAI LLMs RAG LangChain AWS Azure Databricks
Mastercard is hiring Data Scientist I in Pune
Mastercard is looking for a Data Scientist I to join their Global Risk and Compliance team in Pune. This role focuses on implementing generative AI and machine learning solutions for transaction monitoring and anti-money laundering activities.
Who Can Apply?
- Hold a Bachelor's or Master's degree in Computer Science or an equivalent field.
- Possess strong knowledge in building and deploying generative AI solutions such as LLMs, diffusion models, and transformers.
- Demonstrate expertise in RAG pipelines, MCP-based integrations, tool calling frameworks, and LangChain or LangGraph.
- Have proficiency in Python and AI/ML frameworks like PyTorch or TensorFlow.
- Bring strong problem-solving skills and the ability to work in a fast-paced environment.
About Mastercard:
Mastercard is a global technology company in the payments industry connecting an inclusive, digital economy. Their solutions help individuals, financial institutions, governments, and businesses realize their greatest potential across more than 210 countries and territories.
What You Will Do as Data Scientist I
- Generative AI Implementation: Implement generative AI models and applications for AML transaction monitoring use cases.
- Advanced AI Solutions: Build advanced solutions leveraging Retrieval-Augmented Generation (RAG), Model Context Protocol (MCP), tool calling, and LangChain/LangGraph for dynamic workflows.
- ML Pipelines: Develop machine learning pipelines for fine-tuning large language models (LLMs) and other foundation models.
- Content Generation: Implement content generation systems for text, image, and multimodal outputs.
- Computer Vision: Apply computer vision techniques for image analysis, creative generation, and visual search.
- Evaluation Frameworks: Implement evaluation frameworks for GenAI applications, including hallucination detection, bias checks, and quality scoring.
- Observability and Monitoring: Build observability and monitoring solutions for AI systems, including latency, cost tracking, and model performance metrics.
- Cloud Solutions: Build scalable solutions on cloud platforms like AWS and Azure, and leverage data platforms like Databricks.
- Production Integration: Integrate AI models into production systems with a focus on performance, security, and compliance.
Skills Required:
Programming & Frameworks. Proficiency in Python along with AI/ML frameworks such as PyTorch or TensorFlow.
Generative AI & LLMs. Experience with LLMs, diffusion models, transformers, RAG pipelines, and LangChain/LangGraph.
Cloud & Data Tools. Exposure to cloud platforms like AWS and Azure, alongside data engineering tools like Databricks.
How to Prepare
Our tips, based only on what the listing asks for:
- Brush up on your Python programming skills and practical knowledge of frameworks like PyTorch or TensorFlow.
- Revise concepts related to generative AI, Retrieval-Augmented Generation (RAG) pipelines, and LangChain/LangGraph workflows.
- Prepare examples from your past projects involving machine learning pipelines, fine-tuning large language models, and cloud platforms like AWS or Azure.
- Understand evaluation frameworks for AI models, focusing on hallucination detection, bias checks, and model performance metrics.
What the Listing Does Not Mention
- No salary or compensation package is mentioned in the job listing.
- No application end date or last date to apply is specified.
- Work mode details such as remote, hybrid, or office-only are not stated.
How to Apply: Mastercard
- Click on the official apply link provided on this page.
- Review the complete job description and requirements on the Mastercard careers portal.
- Submit your online application along with your updated resume and required details.
Build your career in AI and data science with Mastercard in Pune.
Important Links:
| Events | Links |
|---|---|
| Apply Now | Click Here |
| Official Careers Page | Click Here |
Frequently Asked Questions:
What qualification is required?
Required qualification: B.Sc / M.Sc / B.Tech / M.Tech. See the eligibility section above for details.
Can freshers apply for this role?
The listing states the experience level includes freshers and experienced candidates who meet the educational and technical requirements.
What is the job location?
The job location is Pune, India.
What kind of technologies will I work with?
You will work with generative AI models, Python, PyTorch, TensorFlow, RAG pipelines, LangChain, AWS, Azure, and Databricks.
Stay safe: Mastercard does not charge any fee to apply or to give an interview. If anyone asks you for money for a job, a referral or an offer letter, it is a scam.
Source: the official Mastercard careers listing for this role.
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Disclaimer: This job post is for information only. All applications and questions should go to Mastercard through the official process.
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