Senior Data Scientist

Job Title: Senior Data Scientist Company: Mastercard Job Category: Machine Learning Roles & Responsibilities: 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.* 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. The Security Solutions Data Science team develops AI and machine learning capabilities that help protect the global payments ecosystem from fraud and cyber threats. Supporting Mastercard’s fraud and risk product, the team builds and enhances models that analyze billions of transactions and enable real\-time detection of fraudulent activity. We are looking for a highly motivated Senior Data Scientist to help build the next generation of AI\-powered fraud detection systems. This role offers an opportunity to work on challenging problems involving predictive modeling, AI agents, LLM\-based solutions, real\-time decisioning systems, and large\-scale data engineering while contributing directly to Mastercard's mission of enabling secure and trusted commerce worldwide. Role As a Senior Data Scientist, you will design, develop, and deploy enterprise\-scale AI solutions that enhance fraud detection and risk intelligence capabilities across Mastercard's Security Solutions portfolio. This is not just a model development role; it is ideal for someone who enjoys working closely with complex data, exploring patterns, deeply understanding business and technical problems, experimenting through R\&D, and translating practical solutions into scalable fraud and security capabilities. Key responsibilities include: Develop, deploy, and optimize machine learning models for fraud detection, risk scoring, anomaly detection, and related security applications. Build scalable AI and ML pipelines supporting model training, validation, deployment, monitoring, and retraining. Design and implement Generative AI and Agentic AI solutions leveraging Large Language Models (LLMs), retrieval\-augmented generation (RAG), reasoning and planning workflows, Chain\-of\-Thought\-style prompting techniques, tool/function calling, LLM\-based modular systems, and multi\-agent orchestration. Implement MLOps best practices, including CI/CD, model governance, observability, experimentation frameworks, and performance monitoring. Contribute to the design of reusable AI platforms, libraries, and engineering frameworks that accelerate AI development across teams. Understanding of MLOps principles, including model deployment, model monitoring, CI/CD, and ML lifecycle management. Experience developing fraud detection, risk management, trust \& safety, cybersecurity, or financial crime solutions. Work Location: Haryana, India Availability: Full time

Strong programming skills in Python and experience building production\-quality software. Experience with distributed computing platforms such as Spark, Databricks, or similar big data technologies. Experience working with SQL and large\-scale structured and unstructured datasets. Preferred Qualifications Hands\-on experience with Hadoop, Spark, Databricks, MLflow, Agentic AI frameworks, reasoning and planning frameworks, LangChain, or similar AI engineering technologies. Experience building Agentic AI solutions and multi\-agent systems. Key Skills: Machine Learning, Python, Model Training, Feature Engineering Salary: Not disclosed