Summer Associate Internship (Data Scientist)

The Real Estate Lending (REL) AI & Data Science team develops AI-enabled capabilities, machine learning solutions, and advanced analytics that support mission critical decision making across REL. By leveraging member, financial and organizational data, the team enhances the member experience, improves operational efficiency, and helps business partners achieve strategic objectives through cutting-edge AI and data science solutions. The Summer Associate will support the team's AI and data science initiatives by contributing to projects involving machine learning, advanced analytics, or AI agents that drive measurable impact across REL and Navy Federal.

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

Potential Projects

• Explore opportunities to apply large language models (LLMs) or AI agents to

enhance information retrieval, analytical workflows, the member experience, or operational efficiency.

• Build a machine learning propensity model to predict the likelihood that an

NFCU member will refinance a loan within a defined time period.

• Perform advanced analytics on large and complex datasets to identify patterns

in member behavior, engagement, and loan activity, translating findings into actionable business insights.

Responsibilities

• Support data science, machine-learning, and AI initiatives for Real Estate

Lending.

• Design, develop, and evaluate large and complex predictive models, advanced

algorithms, and LLM-driven AI agents.

• Develop actionable insights and data-driven recommendations that support

business decision-making.

• Use evaluation, judgment, and interpreta