About the role#
The Data Scientist Intern supports advanced analytics and predictive modeling to inform member growth, market potential, and branch network strategy. You will work alongside principal data scientists and geospatial analysts to develop analytical frameworks that enhance location intelligence, behavioral analytics, and market opportunity assessment. This is a year-round, full-time internship. You must be currently enrolled in a degree-seeking program throughout the duration of the internship.
What you'll do#
- 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.
- Support model validation, performance assessment, and documentation.
- Analyze member demographic, behavioral, and geographic data to generate market insights.
- Collaborate with GIS analysts to incorporate geographic features into predictive models.
What you'll need#
- Current enrollment in a graduate degree program in Data Science, Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or a related quantitative field.
- A 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.
- The ability to communicate technical concepts clearly.
Location & details#
- Location: Vienna, Virginia.
- This is an on-site, paid position.
- Please upload your transcripts during the application process.
How to get in at Navy Federal Credit Union
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