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
Intern Data Scientist
Overview:
Mastercard Foundry is a global innovation group focused on the evolution of technology and consumer trends and how these changes impact the payments and commerce industry. Foundry is a collective of interdisciplinary teams powering Mastercard's ability to create and deliver differentiated products, services, and experiences.
Within Foundry, the global Research and Development (R&D) team conducts applied research on emerging technologies to create innovative products for Mastercard. Foundry R&D is made up of talented, passionate developers, engineers, scientists, designers, researchers, data specialists, and program managers. We build knowledge in emerging technologies like agentic AI, generative AI and machine learning to conceptualize and create new products and services, which we then market test with our customers. We also bring the knowledge of cutting and bleeding edge technology to create concepts of the future which not only inspires our customers but also fosters the culture of innovation within Mastercard.
To support this range of projects we are looking for a talented Data Scientist Intern to join the Mastercard Foundry R&D team in our Dublin TechHub.
Role
As a Data Scientist Intern at Mastercard, you will be a member of our AI engineering team, make contribution to model training and work on explainable AI.
Key Responsibilities:
* Pipeline Development: Work with AI engineer and infrastructure teams to design reusable workflows (e.g., feature engineering, model optimization, evaluation pipelines).
* Research on applying explainable AI to agentic AI workload.
Qualifications:
* PHD student in Computer Science or Data Science
* Good understanding of ML, Deep Learning.
* Good understanding of neural network and transformer model architecture.
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.