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Internship Predictive Modeling Jobs in Washington

US AI

Sr. Data Scientist

Rockville, MD · On-site

$150K - $200K/yr

Demonstrated expertise gained through relevant internships, coursework, and personal projects that ... Deep understanding of predictive modeling, machine-learning, clustering and classification ...

QxBranch

Data Scientist QxBranch

Washington, DC · On-site

Company Description QxBranch delivers predictive analytics solutions leveraging the emerging ... Prototype, develop, and deploy complex analytics models for client systems * Organize, manage, and ...

QxBranch

Data Scientist QxBranch

Washington, DC · On-site

Company Description QxBranch delivers predictive analytics solutions leveraging the emerging ... Prototype, develop, and deploy complex analytics models for client systems * Organize, manage, and ...

Capital One Group

Lead Machine Learning Engineer

Mclean, VA · On-site

$197.30 - $225.10/hr

... predictive insights and scaling our AI-driven decisioning models.****What You'll Do:****The MLE ... Internship experience does not apply)* At least 4 years of experience programming with Python ...

Capital One

Lead Machine Learning Engineer

Mclean, VA · On-site

$103K - $136K/yr

... predictive insights and scaling our AI-driven decisioning models. What You'll Do: The MLE role ... Internship experience does not apply) * At least 4 years of experience programming with Python ...

Capital One

Lead Machine Learning Engineer

Mclean, VA · On-site

$103K - $136K/yr

... predictive insights and scaling our AI-driven decisioning models. What You'll Do: The MLE role ... Internship experience does not apply) * At least 4 years of experience programming with Python ...

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Internship Predictive Modeling information

What educational background is needed to become an internship predictive modeling?

Internship predictive modeling roles typically require a bachelor's degree in fields such as computer science, data science, statistics, or related areas. Strong skills in programming languages like Python or R, and knowledge of machine learning algorithms, are also important for these internships.

What is the difference between Internship Predictive Modeling vs Data Analyst?

AspectInternship Predictive ModelingData Analyst
Required CredentialsTypically pursuing or recent graduate in data science, statistics, or related fieldsOften holds a degree in statistics, mathematics, or related disciplines
Work EnvironmentInternship setting, often in tech, finance, or marketing companiesFull-time or part-time roles in various industries including finance, healthcare, and retail
Employer & Industry UsageUsed in companies focusing on developing predictive models and machine learning applicationsCommon in organizations analyzing data trends, reporting, and decision-making

Internship Predictive Modeling focuses on developing and applying models to forecast outcomes, often as part of an internship program. Data Analysts interpret data, generate reports, and support business decisions. While both roles require analytical skills, predictive modeling emphasizes machine learning and statistical modeling, whereas data analysis centers on data interpretation and visualization.

Internship Predictive Modeling jobs near you

Intern - Year Round (Data Scientist)

Navy Federal Credit Union

Vienna, VA • On-site

Full-time

Posted 3 days ago

New

Navy Federal Credit Union rating

8.1

Company rating: 8.1 out of 10

Based on 275 frontline employees who took The Breakroom Quiz

60th of 150 rated financial services

Job description


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.
The intern works 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.
****A requirement of this position is you must be currently enrolled in college level courses or a degree-seeking program throughout the duration of the internship. Please upload your transcripts by clicking the "Attach Cover Letter" button during your application.
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.
  • FORTUNE 100 Best Companies to Work For® 2025
  • Yello and WayUp Top 100 Internship Programs
  • Computerworld® Best Places to Work in IT
  • Newsweek Most Loved Workplaces
  • 2025 PEOPLE® Companies That Care
  • Newsweek Most Trustworthy Companies in America
  • Military Times 2025 Best for Vets Employers
  • Best Companies for Latinos to Work for 2025
  • Forbes® 2025 America's Best Large Employers
  • Forbes® 2025 America's Best Employers for New Grads
  • Forbes® 2025 America's Best Employers for Tech Workers
  • 2025 RippleMatch Campus Forward Award Winner for Overall Excellence
  • Military.com Top Military Spouse Employers 2025
  • 2025 Handshake Early Talent Award

From Fortune. ©2025 Fortune Media IP Limited. All rights reserved. Used under license. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of, Navy Federal Credit Union.
Equal Employment Opportunity: All qualified applicants will receive consideration for employment without regard to age, race, sex, color, religion, national origin, disability, veteran status, pregnancy, sexual orientation, genetic information, gender identity or any other basis protected by applicable law.
Accommodations: If you need accommodation or assistance for a qualifying condition to complete the online application (or during any stage of the hiring process), you can contact Navy Federal's Medical Accommodations team at medicalaccommodations@navyfederal.org or by calling 1-888-503-6013. This team cannot provide any information on job postings or application status.
Disclaimers: Navy Federal reserves the right to fill this role at a higher/lower grade level based on business need. An assessment may be required to compete for this position. Job postings are subject to close early or extend out longer than the anticipated closing date at the hiring team's discretion based on qualified applicant volume. Navy Federal Credit Union assesses market data to establish salary ranges that enable us to remain competitive. You are paid within the salary range, based on your experience, location and market position. For additional details regarding compensation and benefits, review the Benefits page of the Navy Federal Career Site.
Protect Yourself from Job Scams: Navy Federal Credit Union jobs are posted on our career site, jobs.navyfederal.org and reputable job boards (e.g., LinkedIn, Indeed). We do not post jobs on social media marketplaces, messaging apps or unverified websites. We will never ask candidates for payment, bank details or personal financial information during the hiring process.
Bank Secrecy Act: Remains cognizant of and adheres to Navy Federal policies and procedures, and regulations pertaining to the Bank Secrecy Act.

What Navy Federal Credit Union employees say

Pay

Benefits

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Get the full story on Breakroom

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About Navy Federal Credit Union

Sourced by ZipRecruiter

Navy Federal Credit Union, based in Vienna, Virginia, United States, is a significant player in the financial services industry. Their official website is navyfederal.org. With its roots dating back to 1933, it was initially established to provide credit to Navy members. Over the years, Navy Federal has magnified its scope, evolving into a full-service credit union serving all branches of the military, the Department of Defense, veterans, and their families. The company’s core values include integrity, service, education, and leadership. Navy Federal aims to be the most preferred and trusted financial institution serving the military and their families.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

Vienna, VA, US

Year founded

1933

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