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 Information
Hours:
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.
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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 medicalaccommodations@navyfederal.org or by calling 1-888-503-6013. 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 (https://fa-etbx-saasfaprod1.fa.ocs.oraclecloud.com/hcmUI/CandidateExperience/en/sites/nfcu/pages/employee-benefits) of the Navy Federal Career Site.
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