Summer 2027 Graduate Internship – Data Science

Federal Reserve Bank of Philadelphia • Minneapolis, MN

3d • Onsite

About The Position

The Federal Reserve Bank of Minneapolis Graduate Intern Program in Data Science introduces graduate students to the Federal Reserve System and the use of data science in Banking Supervision. Interns work in an intellectually stimulating, collaborative environment, contribute to public service, and interact with senior leaders at the Minneapolis Fed and across the Federal Reserve System. The program provides exposure to quantitative issues and challenges facing regulatory and financial industries, along with on-the-job mentoring and professional development.

Interns learn to manage, manipulate, interpret, and analyze large datasets and methodology documents; develop programming and software-development life-cycle knowledge; work with macroeconomic and banking data; and use metrics to evaluate the health of the banking system. They synthesize information about banking conditions, communicate technical issues to non-technical audiences, and apply advanced statistical techniques to assess banking-sector, industry, or community conditions. Interns also participate in networking and mentorship opportunities with quantitative staff and leadership across the Federal Reserve System.

The internship is a 12-week temporary position, running May 24, 2027 through August 13, 2027, at 40 hours per week. It requires a regular on-site presence and pays $27.00 per hour. The position requires access to confidential supervisory information and/or Federal Open Market Committee information, subject to eligibility restrictions. Relocation assistance, housing, travel reimbursement, and sponsorship are not provided. The position is not open to undergraduate students.

Requirements

• 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.
• Strong academic record in an MS or Ph.D. program.
• Knowledge of query languages such as SQL.
• Demonstrated experience with R or Python; code samples will be requested from selected candidates.
• Ability to work collaboratively within a team.
• Meet the Protected Individual requirement for access to confidential supervisory information and/or Federal Open Market Committee information.
• Able to work 40 hours per week throughout the 12-week program, beginning in May 2027.
• Not open to undergraduate students.

Nice To Haves

• Knowledge of R Shiny dashboard building and reporting 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 large datasets and methodology documents.
• Handle and summarize 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, industries, or communities.
• Participate in internal networking and mentorship opportunities with quantitative staff and leadership across the Federal Reserve System.
• Engage in on-the-job professional development and mentoring.

What This Job Offers

• Job Type: Full-time
• Career Level: Intern