Summer 2027 Graduate Internship – Data Science

Federal Reserve System•Minneapolis, MN
•Onsite

About The Position

The Federal Reserve Bank of Minneapolis Graduate Intern Program in Data Science introduces full-time or part-time graduate students to the Federal Reserve System and the use of data science in Banking Supervision. Interns work in an intellectually stimulating and collaborative environment, contribute to public service, and interact with senior leaders at the Minneapolis Fed and across the Federal Reserve System. They gain exposure to quantitative issues and challenges facing regulatory and financial industries, with on-the-job mentoring and professional development. The internship runs for 12 weeks, from May 24, 2027, through August 13, 2027. Interns must be able to work 40 hours per week, and the position requires a regular on-site presence. Pay is $27.00 per hour. The application closes December 6, 2026, at midnight. The role requires access to confidential supervisory information and/or Federal Open Market Committee information, subject to applicable eligibility requirements. Relocation assistance, housing, travel reimbursement, and sponsorship are not provided.

Requirements

  • Be currently enrolled in and actively pursuing a graduate degree in a quantitative field, such as computer science, data science, economics, engineering, finance, mathematics, physics, or statistics; undergraduate students are not eligible.
  • Have a strong academic record in an MS or Ph.D. program.
  • Have knowledge of query languages such as SQL.
  • Demonstrate experience with R or Python; code samples will be requested from selected candidates.
  • Be able to work collaboratively within a team.
  • Meet the Protected Individual requirement.
  • Be able to work 40 hours per week throughout the 12-week program, starting in May 2027.
  • Meet eligibility requirements for access to confidential supervisory information and/or Federal Open Market Committee information. Non-U.S. citizens must sign a declaration of intent to expeditiously become a U.S. citizen when eligible.

Nice To Haves

  • Knowledge of R Shiny dashboard building and reporting experience using R Markdown.
  • Knowledge of collaborative version control platforms such as GitLab.
  • Knowledge of finance and banking.
  • Knowledge of data visualization.

Responsibilities

  • Manage, manipulate, interpret, and analyze trends in large data sets and methodology documents.
  • Develop knowledge of programming and the software development life cycle.
  • Handle and summarize large amounts of macroeconomic and banking data.
  • Become familiar with metrics and measures used to evaluate the health of the banking system.
  • Synthesize information and identify insights related to banking conditions around the country.
  • Present technical issues to non-technical audiences and clearly communicate findings verbally and in writing.
  • Use advanced statistical techniques to analyze conditions in the banking sector or across industries and communities.
  • Participate in internal networking and mentorship opportunities with quantitative staff and leadership across the Federal Reserve System.
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