Intern - Year Round (Data Scientist)
Navy Federal Credit Union
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Job summary
Navy Federal Credit Union seeks a Data Scientist Intern to support advanced analytics and predictive modeling informing member growth, market potential, and branch strategy. You will work with principal data scientists and GIS analysts to develop models and analytics frameworks for location intelligence and market opportunity assessment.
The internship requires enrollment in college-level courses or a degree-seeking program throughout the duration of the internship.
Qualifications
- Currently pursuing a graduate degree in a 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.
- Ability to communicate technical concepts clearly to non-technical audiences.
- Curiosity, initiative, and ability to learn quickly in an applied business environment.
- 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 Databricks, Spark, or cloud data environments.
- Interest in applied analytics for market strategy, location intelligence, or growth analytics.
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
Skills
Education
Tools
Job description
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.
The intern works closely with principal data scientists and geospatial analysts to develop models and analytical frameworks that enhance location intelligence, behavioral analytics, member insights, and market opportunity assessment.
****A requirement of this position is you must be currently enrolled in college level courses or a degree-seeking program throughout the duration of the internship.
- 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
- 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
- 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
- Monday - Friday, 8:00AM - 4:30PM (Part-Time at least 20 hrs/week), scheduling based around school schedule
- 820 Follin Lane SE Vienna, VA 22180
- 5550 Heritage Oaks Dr Pensacola, FL 32526
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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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.
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.
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.
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.
Remains cognizant of and adheres to Navy Federal policies and procedures, and regulations pertaining to the Bank Secrecy Act.
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