About the role#
This is a paid internship program through Stand Together Fellowships. You will work with the Tax Foundation to research and analyze federal tax policy. This role involves supporting economic modeling and evaluating how proposed tax changes impact revenue and distribution.
What you'll do#
- Research current debates in federal tax policy.
- Support modeling efforts for economic and revenue scoring.
- Analyze the distributional effects of proposed tax changes.
What you'll need#
- Enrollment in an undergraduate or master's program.
- Academic background in economics, political science, or public policy.
- Strong data analysis and communication skills.
- Interest in federal tax policy and alignment with the Tax Foundation mission.
- Previous work experience in public policy is preferred.
- Familiarity with Python is preferred.
Location & details#
- Location: Washington, DC (On-site).
- Term: Winter 2027.
- Commitment: Full-time.
About Stand Together
Stand Together is a non-profit organization based in Arlington, Virginia. It supports a network of partners including educators, business leaders, and activists to address social issues such as education and economic opportunity. The organization provides funding and operational resources to help these partners scale their work. It employs 826 people and operates within the non-profit sector.
How to get in at Stand Together
Securing an internship at Stand Together requires staying ahead of the applicant pool. Intern Insider sends an instant alert the moment a role matching your target is published anywhere, so you apply among the first, as early applicants get seen before the pile grows. This early visibility is often the difference between a review and a rejection. You can also improve your odds by reaching out to the right people. Intern Insider surfaces the recruiters behind the company roles so you can reach out directly to ask about the position or a referral, which materially improves response rates. Using this direct approach helps you stand out from the standard queue.
