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George Mason University
Job Opportunity

Data Science Intern (Analytics & Modeling Program) at Fannie Mae

Full Job Details

Employer: Fannie Mae

Expires: 10/17/2026

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. WHY STUDENTS CHOOSE FANNIE MAEGain hands-on experience as a real contributor working on projects and business challenges that help shape the future of housing finance.Build your career at a company that combines enterprise-scale impact with a mission-driven culture focused on creating opportunities for people and communities nationwide.Work in a technology-enabled environment that encourages curiosity, innovation, and the responsible use of emerging tools, including artificial intelligence.Collaborate with experienced professionals and cross-functional teams solving complex business and technology challenges.Benefit from professional development opportunities, mentorship, networking events, and exposure to leaders across the company.Develop in-demand skills through meaningful work, training, and real-world experience in a collaborative and supportive environment.Make an impact from day one while helping support one of the most important sectors of the U.S. economy.Access benefits available to program participants, including Fannie Mae’s commuter benefit and 401(k) plan through Fidelity. THE IMPACT YOU WILL MAKEAs 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. Examples of intern projects include: Researching production model improvements through back-testing, text analysis, and data miningInvestigating techniques to identify anomalous data across metrics and within varying loan populationsDeveloping a prototype model to identify risk indicators for property quality THE EXPERIENCE YOU BRING TO THE TEAMMinimum QualificationsAuthorization to work in the U.S. without sponsorshipAcademic 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. Preferred QualificationsCurrently pursuing a Bachelor's or Master's degree with an expected graduation date of Spring 2028Mathematics, Statistics, Computer Science, Systems Engineering, Economics with a quantitative focus, and Data Science majors Exposure to programming languages such as R, Python, and SQLOpen and honest communicator with demonstrated leadership capabilitiesQuantitatively minded with an aptitude for analytical storytellingFluent with technology applications and excited to learn new technologiesDemonstrated problem-solving with a solutions-oriented approachA self-starter who’s comfortable asking questions and persevering through unforeseen challenges

* The programs and services offered by George Mason University are open to all who seek them. George Mason does not discriminate on the basis of race, color, religion, ethnic national origin (including shared ancestry and/or ethnic characteristics), sex, disability, military status (including veteran status), sexual orientation, gender identity, gender expression, age, marital status, pregnancy status, genetic information, or any other characteristic protected by law. After an initial review of its policies and practices, the university affirms its commitment to meet all federal mandates as articulated in federal law, as well as recent executive orders and federal agency directives.