About The Position

This 10-week internship program, (June 7, 2027-August 13, 2027), offers a set hourly rate of $41.50 an hour and a potential pathway to full-time opportunities with Fannie Mae. This position has multiple openings and will be based in our Washington, D.C. (Midtown Center) office. As a Data Science Intern, you will develop and apply technical and analytical skills by researching open-ended questions, leveraging our data to produce insights, and providing consultative services to extend Fannie Mae's dynamic credit risk management capabilities. You will participate in an initial training period covering both business knowledge and technical skills. The business courses provide exposure to key business areas at the company and the role of analytics in supporting them. The technical courses include SQL, Python, and R, as well as an introduction to working with technology and data platforms that include Redshift, Domino Data Lab, and Git/Bitbucket. After training, you will join a team where you will work on one project for the remainder of the program. This project will culminate in a presentation to the division where you will practice and demonstrate effective communication through data visualizations and supporting analytical narrative. Throughout the summer, you will also participate in hackathons in areas such as Geospatial Analysis and Logistic Regression alongside your fellow Analytics Interns to gain broader exposure to the Data Science world.

Requirements

  • Authorization to work in the U.S. without sponsorship
  • Academic achievement (preferred GPA of 3.2 or higher)
  • Shows curiosity and adaptability in learning and responsibly applying new technologies, including artificial intelligence, to reimagine how we work.

Nice To Haves

  • Currently pursuing a Bachelor's or Master's degree with an expected graduation date of Spring 2028
  • Mathematics, Statistics, Computer Science, Systems Engineering, Economics with a quantitative focus, and Data Science majors
  • Exposure to programming languages such as R, Python, and SQL
  • Open and honest communicator with demonstrated leadership capabilities
  • Quantitatively minded with an aptitude for analytical storytelling
  • Fluent with technology applications and excited to learn new technologies
  • Demonstrated problem-solving with a solutions-oriented approach
  • A self-starter who’s comfortable asking questions and persevering through unforeseen challenges

Responsibilities

  • Develop and apply technical and analytical skills by researching open-ended questions.
  • Leverage data to produce insights.
  • Provide consultative services to extend Fannie Mae's dynamic credit risk management capabilities.
  • Participate in an initial training period covering business knowledge and technical skills.
  • Join a team and work on one project for the remainder of the program.
  • Present project findings to the division, demonstrating effective communication through data visualizations and supporting analytical narrative.
  • Participate in hackathons in areas such as Geospatial Analysis and Logistic Regression.

Benefits

  • Fannie Mae’s commuter benefit
  • 401(k) plan through Fidelity
  • Health, Life, Voluntary Lifestyle, and other benefits and perks that enhance an employee's physical, mental, emotional, and financial well-being.
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