Data Scientist Intern, Summer 2027 – St. Louis, MO, US
About The Position
Mastercard's internship program offers more than hands-on work. It provides an opportunity to build skills, expand your network, and make a meaningful impact while working on projects that support business priorities. 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.
Requirements
- 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.
- 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.
- Must be eligible to work in the United States, now as well as in the future, without employer sponsorship. 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.
Nice To Haves
- 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.
Responsibilities
- Apply data analytics techniques, including anomaly detection, forecasting, and data engineering.
- Analyze complex datasets and translate insights into actionable business recommendations.
- Develop data visualizations and dashboards using tools such as Power BI, R, Shiny, or Splunk.
- Leverage telemetry and operational data to identify trends, optimize performance, and support predictive analytics initiatives.
Benefits
- 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
- 56 hours of Paid Sick and Safe Time
- Jury duty leave
- On-site fitness facilities in some locations
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What This Job Offers
Career Level
Intern
