Summer Associate Internship (Data Scientist)

Navy Federal Credit Union
Vienna, Virginia, United StatesPosted Sep 9, 2026
Data Science / ML

About the role

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

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