Intern – Data Scientist, Year Round

Navy Federal Credit Union

Data Scientist Intern supports advanced analytics and predictive modeling at Navy Federal. Works with enterprise datasets to generate actionable insights for strategic planning.

Posted 4/15/2026internshipPensacola • Florida • 🇺🇸 United StatesEntry Level💰 $17 - $36 per hourWebsite

Tech Stack

Tools & technologies

CloudETLPythonSparkSQL

About the role

Key responsibilities & impact

Support advanced analytics and predictive modeling that informs member growth, market potential, and branch network strategy
Apply statistical, machine learning, and spatial analytics techniques to large enterprise datasets to identify patterns, forecast demand, and generate actionable insights for strategic planning
Work 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
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

Requirements

What you’ll need

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 (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 (Desired)

Benefits

Comp & perks

Highly competitive pay
Generous benefits and perks

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

statistical analysismachine learningpredictive modelingdata cleaningdata integrationdata pipelinesdata qualityfeature engineeringmodel evaluationspatial analytics

Soft Skills

analytical reasoningproblem-solvingcommunicationcuriosityinitiativequick learning