Overview The Machine Learning & AI (ML&AI) team is a group of applied data scientists within Marketing Data Science who build machine-learning models, run experiments, and develop segmentation strategy to power smarter, more personalized marketing. We translate member data into predictive intelligence so our marketing partners can target the right members with the right message at the right time.
Potential Summer Associate project:
- Build, rebuild, and refine machine-learning models for marketing, Design and setup experiments, including A/B tests, statistical testing, randomized control tests (RCTs), Segmentation tests/Creative Testing
The Summer Associate Program is a 12-week internship program beginning in May 2027 and ending in August 2027. Students will work on impactful projects and meaningful work during their internship. To qualify for this position, applicants must be currently pursuing a degree from an accredited college or university and have an anticipated graduation date of December 2027 or later.
Responsibilities - Build, rebuild, and refine machine-learning models for marketing use cases (e.g., propensity and likelihood models)
- Design and setup experiments, including A/B tests, statistical testing, randomized control tests (RCTs), Segmentation tests/Creative Testing
- Analyze member data to better understand and predict customer needs and behaviors
- Contribute to marketing segmentation strategy and support ad hoc analyses for current and upcoming campaigns
- Develop dashboards that enable stakeholders to explore data and self-serve insights
- Develop and present analytic findings to stakeholders, including senior executives
- Collaborate with a range of partners to drive progress on cross-functional projects
- Become acquainted with the functioning of the team
Qualifications - Currently pursuing a Bachelor's or Master's degree in Mathematics, Statistics, Data Science, Computer Science, or a related field (AI-focused coursework a strong plus)
- A passion for analytics, machine learning, and data-driven problem solving
- Working knowledge of machine-learning algorithms, deep learning, and the statistical/mathematical logic behind analytical methods
- Experience with data extraction/wrangling
- Experience using analytic tools such as: Databricks, SQL, R, Python, PySpark, Power BI or Tableau
- Good communication and presentation skills
- Comfort working with large datasets and telling stories with data
- Ability to work independently and think outside of the box
- Strong strategic, critical, and analytical thinking skills
- Basic knowledge of marketing a plus
Additional InformationHours:- Monday - Friday, 8:00 AM - 4:30 PM
Locations: - 820 Follin Lane SE, Vienna, VA 22180
- 5510 Heritage Oaks Dr, Pensacola, FL 32526
About Us Navy Federal provides much more than a job. We provide a meaningful career experience, including a culture that is energized, engaged and committed; and fierce appreciation for our teams, who are rewarded with highly competitive pay and generous benefits and perks.
Our approach to careers is simple yet powerful: Make our mission your passion.
FORTUNE 100 Best Companies to Work For 2026
Yello and WayUp Top 100 Internship Programs 2025
Computerworld Best Places to Work in IT 2026
Most Loved Workplace - America's Top Most Loved Workplaces 2025
2025 PEOPLE Companies That Care
Newsweek Most Trustworthy Companies in America 2026
Military Times 2025 Best for Vets Employers
Forbes 2026 America's Best Large Employers
Forbes 2025 America's Best Employers for New Grads
Forbes 2025 America's Best Employers for Tech Workers
2025 RippleMatch Campus Forward Award Winner for Overall Excellence
Military.com Top Military Spouse Employers 2025
2026 Handshake Early Talent Award
Newsweek America's Greatest Workplaces for Culture, Belonging and Community 2026
From Fortune Magazine. 2026 Fortune Media IP Limited. All rights reserved. Used under license. Fortune and Fortune 100 Best Companies to Work For are registered trademarks of Fortune Media IP Limited and are used under license. Fortune Magazine, Fortune Media (USA) Corporation, and its affiliates are not affiliated with, and do not endorse products or services of, Navy Federal Credit Union.
Equal Employment Opportunity: All qualified applicants will receive consideration for employment without regard to age, race, sex, color, religion, national origin, disability, veteran status, pregnancy, sexual orientation, genetic information, gender identity or any other basis protected by applicable law.
Accommodations: If you need accommodation or assistance for a qualifying condition to complete the online application (or during any stage of the hiring process), you can contact Navy Federal's Medical Accommodations team at or by calling 1-. This team cannot provide any information on job postings or application status.
Disclaimers: Navy Federal reserves the right to fill this role at a higher/lower grade level based on business need. An assessment may be required to compete for this position. Job postings are subject to close early or extend out longer than the anticipated closing date at the hiring team's discretion based on qualified applicant volume. Navy Federal Credit Union assesses market data to establish salary ranges that enable us to remain competitive. You are paid within the salary range, based on your experience, location and market position. For additional details regarding compensation and benefits, review the Benefits page of the Navy Federal Career Site.
Protect Yourself from Job Scams: Navy Federal Credit Union jobs are posted on our career site, jobs.navyfederal.org and reputable job boards (e.g., LinkedIn, Indeed). We do not post jobs on social media marketplaces, messaging apps or unverified websites. We will never ask candidates for payment, bank details or personal financial information during the hiring process.
Bank Secrecy Act: Remains cognizant of and adheres to Navy Federal policies and procedures, and regulations pertaining to the Bank Secrecy Act.
Never miss an opportunity! Create an alert based on the job you applied for.