Data Science Intern: Growth & Location Analytics

Navy Federal Credit Union; Pensacola (FL); On-site; USD 34,000 - 48,000; Part time

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

Python

R

SQL

Education

Master's degree in Data Science or related field

Tools

Databricks

ArcGIS

Alteryx

Job description

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.