Intern - Year Round (Data Scientist)

Navy Federal Credit Union; Vienna (VA); On-site; USD 27,552,000 - 48,216,000; Part time

Job summary

Navy Federal Credit Union is seeking a Data Scientist Intern to support advanced analytics, predictive modeling, and strategic planning across member growth and branch network strategy. This role involves applying statistics, ML, and spatial analytics to large datasets to forecast demand and generate actionable insights for leadership.

You will work with SQL and Databricks, build reproducible pipelines, and translate results into clear business implications for stakeholders.

Qualifications

• Pursuing graduate degree in a quantitative field such as Data Science, Statistics, Applied Mathematics, Economics, CS, or Engineering.
• Strong foundation in statistics, probability, and predictive modeling.
• Proficiency in Python or R for data analysis and modeling.
• Experience with large datasets using SQL or similar tools.
• Ability to structure and analyze complex real-world data problems.

Responsibilities

• Develop and evaluate predictive models for member growth, market potential, and branch demand.
• Apply statistics and ML techniques to identify drivers of acquisition, engagement, and market value.
• Support model validation, performance assessment, and documentation.
• Analyze demographic, behavioral, and geographic data to generate market insights.
• Collaborate with GIS analysts to incorporate geographic features into models.
• Extract, clean, and integrate large datasets from enterprise data platforms (SQL, Databricks).
• Build reproducible data pipelines and modeling datasets.
• Summarize analytical findings and model outputs for technical and business audiences.

Skills

Statistics & modeling

Python or R

SQL experience

Data problem solving

Communication

Education

Graduate degree in Data Science or related

Tools

SQL

Databricks

Job description

Overview

The Data Scientist Intern supports advanced analytics and predictive modeling that informs member growth, market potential, and branch network strategy. This role applies statistical, machine learning, and spatial analytics techniques to large enterprise datasets to identify patterns, forecast demand, and generate actionable insights for strategic planning.

Responsibilities

• Develop and evaluate predictive models to estimate member growth, market potential, and branch demand
• Apply statistical and machine learning techniques to identify drivers of member acquisition and engagement, member and market behavior, and value of a market
• Support model validation, performance assessment, and documentation
• Analyze member demographic, behavioral, and geographic data to generate market insights
• Contribute to market sizing, segmentation, and opportunity analyses
• Support development of demand and growth forecasting methodologies
• Collaborate with GIS analysts to incorporate geographic features into predictive models
• Engineer spatial and demographic features for modeling and analysis
• Support analyses linking member behavior and geography to branch strategy
• Extract, clean, and integrate large datasets from enterprise data platforms (SQL, Databricks, etc.)
• Build reproducible data pipelines and modeling datasets
• Ensure data quality and documentation for analytical workflows
• Summarize analytical findings and model outputs for technical and business audiences
• Contribute to presentations, visualizations, and analytical documentation
• Translate quantitative results into clear business implications
• Perform other duties as assigned

Qualifications

• Currently pursuing a graduate degree (MS or PhD) in Data Science, Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related quantitative field
• Strong foundation in statistics, probability, and predictive modeling
• Proficiency in Python or R for data analysis and modeling
• Experience working with large datasets using SQL or similar tools
• Demonstrated ability to structure and analyze complex, real-world data problems
• Strong analytical reasoning and problem-solving skills
• Ability to communicate technical concepts clearly
• Curiosity, initiative, and ability to learn quickly in an applied business environment

Desired Qualifications

• Experience with machine learning or predictive modeling projects
• Experience with spatial, geographic, or demographic data
• Familiarity with ETL processes and data preparation workflows
• Experience with Alteryx and/or ArcGIS
• Experience with feature engineering and model evaluation techniques
• Experience with Databricks, Spark, or cloud data environments
• Interest in applied analytics for market strategy, location intelligence, or growth analytics

Hours

• Monday - Friday, 8:00AM - 4:30PM (Part-Time at least 20 hrs/week), scheduling based around school schedule

Location

• 820 Follin Lane SE Vienna, VA 22180
• 5550 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
• 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

2026 Handshake Early Talent Award

Newsweek America’s Greatest Workplaces for Culture, Belonging and Community 2026

From Fortune Magazine. © 2026 Fortune Media IP Limited. All rights reserved. Used under license. Fortune and Fortune 100 Best Companies to Work For are registered trademarks of Fortune Media IP Limited and are used under license. Fortune Magazine, Fortune Media (USA) Corporation, and its affiliates 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 [e-mail] 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.

Bank Secrecy Act: Remains cognizant of and adheres to Navy Federal policies and procedures, and regulations pertaining to the Bank Secrecy Act.