Campus - Data Science (Analytics and Modeling Program) Intern (Flexible Hybrid)

Company Description

At Fannie Mae, futures are made. The inspiring work we do helps make a home a possibility for millions of homeowners and renters. Every day offers compelling opportunities to impact the future of the housing industry while being part of an inclusive team thriving in an energizing, flexible environment. Here, you’ll have access to continuous learning, grow your career, and help create access to fair, affordable housing finance.

This internship is a 10-week long program with a set hourly rate of $41.50/hour.  

Job Description

With Fannie Mae’s 10-week (June 2025 - August 2025) paid internship program you will be empowered to drive change, lead with creativity, own your career, and make a difference. As a path to our full-time opportunities, you will be a true contributor on a team that fits your skills and interest in a dynamic environment alongside our employees.    

THE IMPACT YOU WILL MAKE 

As an intern on our Analytics team, you will develop and apply 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 a one-week seminar style training of both business information 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, including Redshift, Domino Data Lab, and Git/Bitbucket. 

Examples of intern tasks and projects include:  

• Developing a metric to aid in our mission to facilitate equitable and sustainable access to homeownership 
• Researching production model improvements through back-testing, text analysis, and data mining 
• Investigating techniques to identify anomalous data across metrics and within varying loan populations 
• Collaborate with fellow Analytics Interns on Data Science hackathons in areas including Logistic Regression Modeling and GenAI. 

Qualifications

THE EXPERIENCE YOU BRING TO THE TEAM 

Minimum Qualifications   

• Be authorized to work in the U.S. without sponsorship   
• Academic achievement (preferred GPA of 3.2 or above)   

Preferred Qualifications   

• Rising senior enrolled in a bachelor's degree program (2026 graduation date) 
• Mathematics, Statistics, Computer Science, Systems Engineering, Economics with a quantitative focus, and Data Science majors are preferred   
• Open and honest communicator with demonstrated leadership capabilities  
• Quantitatively-minded with an aptitude for analytical story-telling 
• 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 

Additional Information

#LI-DNI

The future is what you make it to be. Discover compelling opportunities at careers.fanniemae.com.

Fannie Mae is a flexible hybrid company. We embrace flexibility for our employees to work where they choose, while also providing office space for in-person work if desired. At times, business need may call for on-site collaboration, which means proximity within a reasonable commute to your designated office location is preferred.

Fannie Mae is an Equal Opportunity Employer, which means we are committed to fostering a diverse and inclusive workplace. All qualified applicants will receive consideration for employment without regard to race, religion, national origin, gender, gender identity, sexual orientation, personal appearance, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation in the application process, email us at careers_mailbox@fanniemae.com.