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Data Scientist, Year Round Intern
Navy Federal Credit UnionData Scientist Intern supporting Navy Federal Credit Union’s member-growth and branch-strategy analytics. Developing predictive models, forecasting demand, and integrating demographic and geographic data.
Posted 8/13/2026internshipVienna • Florida, Virginia • 🇺🇸 United StatesEntry Level💰 $21 - $36 per hourWebsite
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates strong analytical skills in predictive modeling and statistical analysis, with proficiency in Python or R for data analysis. Capable of extracting and integrating large datasets, ensuring data quality, and effectively communicating technical findings to diverse audiences.
Highest-signal resume keywords
Predictive ModelingStatistical AnalysisPython or R ProficiencySQL ExperienceMachine Learning Techniques
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Predictive ModelingStatistical AnalysisData AnalysisFeature EngineeringModel Evaluation TechniquesETL ProcessesData CleaningData IntegrationMachine LearningGeographic Data Analysis
Soft Skills
Analytical ReasoningProblem-SolvingClear CommunicationCuriosityInitiative
Tools & Technologies
SQLDatabricksAlteryxArcGISSpark
Industry Keywords
Market StrategyLocation IntelligenceGrowth AnalyticsMarket SizingSegmentation
Tech Stack
Tools & technologiesCloudETLPythonSparkSQL
About the role
Key responsibilities & impact- Develop and evaluate predictive models estimating member growth, market potential, and branch demand
- Apply statistical and machine learning techniques to analyze member acquisition, engagement, market behavior, and market value
- 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 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
- Analyze links between member behavior, geography, and branch strategy
- Extract, clean, and integrate large datasets from enterprise data platforms using SQL, Databricks, and similar tools
- Build reproducible data pipelines and modeling datasets
- Ensure data quality and document 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
Requirements
What you’ll need- Currently pursuing a graduate degree (MS or PhD) in Data Science, Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or a related quantitative field
- Currently enrolled in college-level courses or a degree-seeking program throughout the internship
- 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 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
- Part-time schedule requires at least 20 hours per week, based around school schedule
- Desired: experience with machine learning or predictive modeling projects
- Desired: experience with spatial, geographic, or demographic data
- Desired: familiarity with ETL processes and data preparation workflows
- Desired: experience with Alteryx and/or ArcGIS
- Desired: experience with feature engineering and model evaluation techniques
- Desired: experience with Databricks, Spark, or cloud data environments
- Desired: interest in applied analytics for market strategy, location intelligence, or growth analytics
- Ability to work Monday–Friday, 8:00 AM–4:30 PM, with scheduling based around school schedule
Benefits
Comp & perks- Competitive pay
- Generous benefits and perks
- Collaborative, team-driven network
- Guidance and direction from team and management
- Flexible internship based on school schedule
- Opportunity to develop technical and soft skills, business knowledge, analytical techniques, and creative problem-solving abilities