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Mastercard
Data Scientist Intern, Summer 2027 - St. Louis, MO, US
Entry-Level JobVerifiedNo experience needed
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What they do
A Data Scientist utilizes skills and experience to systematically answer questions using data to provide actionable recommendations. Commonly utilizes advanced statistical analysis and machine learning techniques. Common responsibilities also include data cleaning and data management.
$104,467 / year median in Missouri
+13% projected growth
Job 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 Data Scientist Intern, Summer 2027
- St.
About the team:
The ONE Data Strategy team is a core function within Mastercard's ONE Data & Governance organization. Our mission is to deliver a unified operational data strategy and platform, integrating a modern Data Lake and lakehouse-aligned architecture that connects batch, streaming and operational data across multiple platforms. The ONE Data Strategy team serves as both a strategy and delivery organization focused on transforming data into a trusted enterprise asset that powers decision-making, operational efficiency, governance, AI-driven innovation, and future business capabilities. What we're looking for:- Currently enrolled in a Bachelors degree in Data Science or a related field, with an anticipated graduation date between December 2027 and June 2028
- Experience with or knowledge of operational data platforms and observability tools, such as AIOps, Splunk, telemetry systems, DevOps tools, and Dynatrace
- Experience applying data analytics techniques, including anomaly detection, forecasting, and data engineering
- Proficiency in data visualization and dashboard development using tools such as Power BI, R, Shiny, or Splunk
- Ability to analyze complex datasets and translate insights into actionable business recommendations
- Hands-on experience with machine learning projects, including model development, deployment, or operationalization is a plus
- Familiarity with leveraging telemetry and operational data to identify trends, optimize performance, and support predictive analytics initiatives is a plus
- 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. As an intern, you'll benefit from:
- Mentorship and coaching from experienced professionals and leaders
- Networking opportunities with fellow interns, employees, and senior leaders
- Professional development experiences focused on career growth and skill-building
- Exposure to innovative technologies and global business challenges
- Volunteer, community engagement, and team-building activities Many of our interns continue building their careers with Mastercard through full-time opportunities, early career programs, or future internships.