📍
O Fallon, MO

Data Scientist Intern, Summer 2026 - St. Louis, MO

Internship
Finance
Data / Analytics
Posted:
December 29, 2025

Mastercard

Worldwide payments technology and solutions provider
79
Palpable Score
Apply >view company >

This role is not eligible for Mastercard’s work authorization sponsorship. As such, candidates must be eligible to work in the United States, now as well as in the future, without employer sponsorship. For example, students or recent graduates in the United States on an F1 visa (including those with CPT or OPT authorization) are not eligible for this role.

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Overview

Mastercard works to connect and power a sustainable and inclusive global economy. We are a vehicle for commerce, a connection to financial systems for the previously excluded, a technology innovation lab, and the home of Priceless®. We ensure every employee has opportunity to be a part of something bigger and to change lives. We believe in connecting everyone to endless, priceless possibilities.

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About the Team

As a Data Engineering team, we are a dynamic and innovative team working at petabyte scale with cutting-edge big data platforms and technologies. Our mission is to streamline and automate the repetitive aspects of data science to accelerate innovation in AI/ML-driven fraud detection. We specialize in building high-quality, scalable ETL pipelines, developing robust feature engineering workflows, and creating shared tools that empower data scientists across the organization. Additionally, we play a key role in deploying model features and ensuring seamless integration into production environments.

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Internship Program

Mastercard’s summer internship program provides emerging talent with projects that will enhance skills as well as contribute to the department’s goals and objectives. In this program, you will participate in:

- Networking events, mentorship opportunities, and hear from senior leaders

- Volunteer and team building opportunities

- Formal performance assessments- End-of-summer presentations to peers and Mastercard leadership

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Qualifications

- Currently enrolled in a bachelor’s degree program majoring in Computer Science or a related field with a graduation date of Winter 2026 – Spring 2027

- Hands-on experience working in both Python and SQL

- Knowledge of Cloud or Big Data Technologies is a plus (Data Bricks, Spark in the Cloud, Hadoop)

- Proficient in Microsoft Office applications

- Excellent communication skills, ability and willingness to tackle complex problems

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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:

About the company

Mastercard

Company overview
Mastercard operates a global payments network that routes, clears, and settles card and other payment transactions across countries and currencies. The company also sells value-added services and solutions, including security solutions, consumer acquisition and engagement services, business and market insights, digital and authentication solutions, and processing and gateway services. The company serves financial institutions, merchants, governments, fintechs, and partners with technology and data products alongside the network. Mastercard is a public company headquartered in Purchase, New York.

Locations and presence

Mastercard employed approximately 35,300 people globally as of December 31, 2024, with around 69% of employees based outside the United States across more than 90 countries. Mastercard describes a hybrid work approach for non-remote roles that averages at least three days per week in the office, alongside flexibility programs such as a four-week “work from elsewhere” policy.

Palpable Score

79
/ 100
Mastercard is a strong early-career option because Mastercard runs paid internships with a stated path into the Launch graduate program, and Mastercard also backs recent grads with an 18-month structured development journey. The main limits are predictability and consistency across teams: candidates report a wide range of interview styles depending on role, and the company’s pay transparency is strong in some markets but not universal.
view full company profile >

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