Description
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
Senior Data Scientist Overview:At Mastercard, we're building the future of intelligent infrastructure—where data science meets automation, and AI drives operational excellence. We are looking for a Senior Data Scientist to join our Engineering team and lead the transformation of massive operations datasets into predictive insights and autonomous systems.
This role is ideal for someone passionate about building scalable machine learning solutions, developing Large Language Models (LLMs), and pioneering agentic AI systems that optimize engineering workflows and decision-making.
Role:
As a Senior Data Scientist, you will:
• Analyze large-scale operations data to build predictive models for system performance, anomaly detection, and proactive interventions.
• Design, fine-tune, and deploy domain-specific LLMs to support internal tooling, documentation synthesis, and intelligent automation.
• Develop agentic AI systems that autonomously interact with infrastructure, make decisions, and execute tasks with minimal human input.
• Collaborate with engineering and product teams to ensure robust data pipelines and scalable model deployment.
• Work closely with the AI COE team, domain experts and full stack developers to build and deploy interactive dashboards, providing the best, most engaging insights and UX for our users.
• Engage with the wider Mastercard data science community, sharing best practice, knowledge, and insights, in support of collaborative, fulfilling work and value creation.
All About You:
• An undergraduate degree or higher in Computer Science, Data Science, Econometrics, Mathematics, Statistics, or similar field of study.
• Multi-project, hands-on experience of the end-to-end data science process in relation to large, complex data. From problem framing to results communication and solution deployment, you will be able to demonstrate having played a key part in a range of successfully delivered projects.
• Strong background in predictive analytics and modelling using large operational datasets.
• Expert level Python coding experience, including knowledge and experience of the principal Python Data Science / Machine Learning (ML) library ecosystem.
• Hands-on experience with LLM architectures, and Agentic AI development.
• Familiarity with agentic AI frameworks (e.g., LangGraph, OpenAI/LLaMA) and autonomous decision systems.
• Proficiency in cloud platforms and big data ecosystems (Databricks).
• Excellent communication skills and ability to work cross-functionally.
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.
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