Summer Associate Internship (Data Scientist)

Posted Yesterday
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Vienna, VA, USA
Hybrid
Internship
Financial Services
The Role
Supports AI, machine learning, and data science initiatives for Real Estate Lending. Projects may include LLM and AI agent applications, predictive modeling for loan refinancing, and advanced analytics on member and loan data. The intern will develop and evaluate models, translate data into insights and recommendations, create visualizations, document and present findings, and collaborate with stakeholders while applying ethical AI practices.
Summary Generated by Built In

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 interpretation to select right course of action.

  • Work on problems of diverse scopes where analysis of information requires evaluation of identifiable factors.

  • Transform data into charts, tables, or format that aids effective decision making.

  • Utilize effective written and verbal communication to document analyses and present findings and analyses to a diverse audience of stakeholders. 

  • Develop and maintain strong working relationships with team members, subject matter experts, and leaders.

  • Model best practices and ethical AI.

  • Participate in all team activities and knowledge shares.

  • Perform other related duties as assigned

Qualifications
  • Currently pursuing a graduate degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or another quantitative field.

  • Working knowledge of statistics, machine learning, data mining, data auditing, data aggregation, data reconciliation, and data visualization.

  • Working knowledge of programming, data modeling, simulation techniques, and quantitative analysis. 

  • Experience with SQL, R, Python/Pyspark, Hadoop, SAS, AWS, Github and APIs.

  • Experience with Databricks, Azure Environment (AI Foundry), Copilot Studio and PowerBI.

  • Interest in or exposure to AI/LLMs and agent development (prompt engineering, RAG architectures, vector databases, embeddings, AI guardrails, LLM evaluations, fine-tuning fundamentals).

  • Ability to understand business problems, identify analytical approaches, and develop practical, data-driven recommendations.

  • Strong research, critical-thinking, analytical, and problem-solving skills, including the ability to identify assumptions, constraints, and risks.

  • Excellent written, verbal, interpersonal, data-storytelling, and presentation skills, with the ability to explain technical concepts to non-technical audiences.

  • Ability to collaborate effectively, build relationships, take initiative, manage priorities, and work through ambiguity with sound judgment.

  • Curious, energetic, and growth-oriented approach with a willingness to learn new tools, methods, and business concepts

 

Additional Information

 

Hours:

  • Monday – Friday, 8:00AM - 4:30 PM ET

 

Locations:

  • 820 Follin Lane, Vienna, VA 22180

  • 5550 Heritage Oaks Dr Pensacola, FL 32526

  • 141 Security Dr. Winchester, VA 22602

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® 2025
  • Yello and WayUp Top 100 Internship Programs
  • Computerworld® Best Places to Work in IT
  • Newsweek Most Loved Workplaces
  • 2025 PEOPLE® Companies That Care
  • Newsweek Most Trustworthy Companies in America
  • Military Times 2025 Best for Vets Employers
  • Best Companies for Latinos to Work for 2025
  • Forbes® 2025 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 
  • 2025 Handshake Early Talent Award

From Fortune. ©2025 Fortune Media IP Limited. All rights reserved. Used under license. Fortune and Fortune Media IP Limited 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 [email protected] 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 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.

Skills Required

  • Currently pursuing a graduate degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or another quantitative field.
  • Currently enrolled at an accredited college or university with an anticipated graduation date of December 2027 or later.
  • Working knowledge of statistics, machine learning, data mining, data auditing, data aggregation, data reconciliation, and data visualization.
  • Working knowledge of programming, data modeling, simulation techniques, and quantitative analysis.
  • Experience with SQL, R, Python or PySpark, Hadoop, SAS, AWS, GitHub, and APIs.
  • Experience with Databricks, Azure Environment AI Foundry, Copilot Studio, and Power BI.
  • Interest in or exposure to AI, LLMs, and agent development, including prompt engineering, RAG architectures, vector databases, embeddings, AI guardrails, LLM evaluations, and fine-tuning fundamentals.
  • Ability to understand business problems, identify analytical approaches, and develop practical data-driven recommendations.
  • Strong research, critical-thinking, analytical, and problem-solving skills.
  • Excellent written, verbal, interpersonal, data-storytelling, and presentation skills.
  • Ability to explain technical concepts to non-technical audiences.
  • Ability to collaborate effectively, build relationships, take initiative, manage priorities, and work through ambiguity with sound judgment.
  • Curious, energetic, and growth-oriented approach with willingness to learn new tools, methods, and business concepts.

Navy Federal Credit Union Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Navy Federal Credit Union and has not been reviewed or approved by Navy Federal Credit Union.

  • Retirement Support A pension alongside a strong 401(k) match and additional retirement programs makes long‑term value a standout element of the total package. This combination is positioned as a differentiator among private employers.
  • Healthcare Strength Comprehensive medical, dental, and vision coverage is complemented by on‑site health services at major campuses. Wellness resources and typical offerings like an EAP broaden the health support available.
  • Parental & Family Support Paid parental leave, plus adoption and surrogacy assistance, indicate meaningful support for growing families. Education assistance further extends family and life‑stage support.

Navy Federal Credit Union Insights

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The Company
HQ: Vienna, VA
15,930 Employees
Year Founded: 1933

What We Do

Navy Federal Credit Union is the world's largest credit union with over 12 million members, over $160 billion in assets and over 22,000 employees. As a credit union, we have members, not customers. At our campuses in Vienna, VA, Pensacola, FL and Winchester, VA, and in our more than 350 branches, we serve the men and women of the Armed Forces, Department of Defense, veterans and their families. We deliver world-class service, rooted in the belief that it is an honor and privilege to serve our members. We are committed to providing our members outstanding financial products and services. Navy Federal offers a career, not just a job. We are proud of the robust Total Rewards package we offer to our employees, including competitive salaries, incentive programs, comprehensive medical, dental and vision benefits, retirement plans with employer match, award-winning training programs, professional development programs, tuition assistance, paid leave, and work/life programs. Federally insured by NCUA. Equal opportunity employer. Android™ is a trademark of Google, Inc. iPhone® is a registered trademark of Apple, Inc. iPad® is a registered trademark of Apple, Inc. App Store(SM) is a service mark of Apple, Inc. Message and data rates may apply. FORTUNE and 100 Best Companies to Work For are registered trademarks of Time Inc., and are used under license. FORTUNE and Time Inc., are not affiliated with, and do not endorse products or services of, Navy Federal Credit Union. For more info, visit navyfederal.org

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