Job Description Help for Job Description. Opens a new window. 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
- .
..For full information see follow application link. Navy Federal values, celebrates, and enacts diversity in the workplace. Navy Federal takes affirmative action to employ and advance in employment qualified individuals with disabilities, disabled veterans, Armed Forces service medal veterans, recently separated veterans, and other protected veterans. EOE/AA/M/F/Veteran/Disability