Summer 2027 Graduate Internship, Data Science
Federal Reserve Bank of Minneapolis
This job at a glance
- Who can apply
- New grads and up to 1 year
- Must know
- StatisticsNetworkingSQLPython
- Nice to have
- Data visualizationGit
- Work
- On-site in Minneapolis · internship
- Pay
- Not stated by the employer.
- Skill demand
- Networking24%Python19%Statistics9%SQL8%of 99 similar entry-level jobs posted in the US this week
- Listed
- Nov 10, 2026 · still open
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About the Role
The Federal Reserve Bank of Minneapolis Graduate Internship Program in Data Science offers graduate students an introduction to the Federal Reserve System and the application of data science within the Banking Supervision function. This internship provides an opportunity to work in an intellectually stimulating and collaborative environment, engage in public service, and interact with senior leaders. Interns will gain exposure to and experience with significant quantitative issues and challenges facing the regulatory and financial industries, with on-the-job mentoring and professional development.
- Duration: 12 weeks
- Start Date: May 24th, 2027
- End Date: August 13th, 2027
- Hours: 40 hours/week
- Pay Rate: $27.00/hour
- Location: Regular on-site presence required.
- Application Closes: December 6th, 2026, at Midnight.
Key Responsibilities
- Learn to manage, manipulate, interpret, and analyze trends in large sets of data and methodology documents.
- Enhance knowledge in programming and the software development life cycle.
- Handle and summarize large amounts of macroeconomic and banking data.
- Become familiar with different metrics and measures used to evaluate the health of the banking system.
- Synthesize information and glean insights related to banking conditions around the country.
- Present technical issues to non-technical audiences and clearly articulate findings in verbal and written form.
- Utilize advanced statistical techniques to analyze conditions in the banking sector, or across various industries or communities.
- Participate in internal networking and mentorship opportunities with quantitative staff and leadership across the Federal Reserve System.
Requirements & Tech Stack
- Currently enrolled and actively pursuing a graduate degree in a quantitative field such as (but not limited to) Computer Science, Data Science, Economics, Engineering, Finance, Mathematics, Physics, Statistics.
- Strong academic record in MS or Ph.D. program.
- Knowledge of query languages such as SQL.
- Demonstrated experience with R or Python.
- Ability to work collaboratively within a team.
- Able to work 40 hours per week throughout the duration of the 12-week internship program, starting in May 2027.
Qualifications
- Code samples will be requested from selected candidates.
- Meet Protected Individual requirement.
- This position requires access to confidential supervisory information (CSI) and/or Federal Open Market Committee (FOMC) information.
Additional Preferred Qualifications (Not Required)
- 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.
Note: This position is not open to undergraduate students.
Note: Relocation assistance, housing, travel reimbursement, or sponsorship are not provided.