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Wednesday, September 20, 2023

Future Leaders in Public Service Internship Program – Summer 2024


Future Leaders in Public Service Internship Program – Summer 2024

https://gogovernment.org/fellowship/future-leaders-in-public-service-internship-program/future-leaders-in-public-service-internship-program-summer-2024/

The Future Leaders in Public Service Internship Program is an exciting opportunity for students of all majors to gain professional experience in the federal government. Since 2022, the program leads diverse young talent to government and offers students the opportunity to apply their educational training to work in a federal agency.

Candidates select two career tracks (listed below) that align most closely with their interests and skills.

Public Administration

May include positions in finance, human resources, management/administration, or similar fields.

Science, Mathematics and Engineering

May include positions in the fields of science and health, engineering and math. This track is open to candidates from technical backgrounds.

Government Contracting and Acquisition

May include positions relating to federal contracting and acquisition, procurement, and business.

Liberal Arts

May include positions in communications, arts, humanities, graphic design, public policy, writing/editing, communications, public affairs and social sciences.

Public Interest Technology

May include positions in operations technology-focused policy, graphic design, writing/editing, program management, data analysis, entrepreneurship and stakeholder management. This track is open to candidates from both technical and social science backgrounds, but candidates must be interested in technology innovation and harnessing the full potential of technology for public good.

Data Science

Interested in using your data science skills for the public good? Agencies across the federal government need data scientists, and several previous Future Leaders internships focused on data science. This track is open to candidates from technical backgrounds, including: computer science; engineering; statistics; mathematics; economics; data analytics; data science; information technology; business, finance; biostatistics; data analytics in artificial intelligence or machine learning; and physics.