2027 Summer Internship - Business Technology

About the role

The Federal Reserve Bank of St. Louis 2027 Summer Internship Program offers students the chance to work on projects that support various business areas and impact the national economy. Interns gain insight into potential entry‑level roles, receive dedicated mentorship, participate in networking events across the Bank and the Federal Reserve System, attend leadership Q&As and development‑oriented sessions, and get exposure to bank operations and mission‑driven work.

Responsibilities

• Using Python, evaluate database(s) within an Amazon Web Services environment to assist with documentation and outlining the use of tables and functions across the code base.
• Work on advanced data matching procedures and pipelines for delivery of matching products to state and federal customers (based on experience level).
• Build knowledge‑base related to the utilization of analytical tools, including AI tools (limited scope).
• Join a scrum team as a Jr. Product Owner, attend ceremonies, contribute to Jira and Confluence by logging stories or updating artifacts, meet internal and external stakeholders, support the team to meet goals.
• Opportunity to work on a self‑driven project.
• Assist with software security reviews, access changes, and content creation highlighting the importance of security; provide ad‑hoc end‑user support.
• Gain hands‑on experience analyzing reports, ad‑hoc responsibilities around system workgroups, automation tools or queries, and explore partner teams based on interest.
• Perform data analytics, research topics, and write briefs and summaries of data.
• Support data analytics initiatives in Advanced Analytics, GenAI, and Agentic AI experimentation; develop code to fulfill data requests and apply Machine Learning techniques to foundational data science tasks.

Requirements

• U.S. Citizenship or ability to pass enhanced background screening (as noted for certain opportunities).
• Computer programming skills, awareness, or interest is required; interest in using new technologies for coding and documentation desired.
• Proficiency in Python, R, and SQL is required for the Data Science Analyst role.

Qualifications

• Open to all skill levels; positions adaptable to varying experience.
• Interest in banking and economics is ideal for the SPRA Policy Analyst role.
• Interest in Machine Learning and GenAI is considered a strong plus for the Data Science Analyst role.

Skills

• Python