Intern - Year Round (Data Scientist Job Vienna area,Virginia USA,IT/Tech

Position: Intern - Year Round (Data Scientist)

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.

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