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Statistical Intern Jobs in Washington (NOW HIRING)

IBM

Federal Data Scientist Intern 2027

Herndon, VA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

As an IBM intern, you won't just gain experience - you'll start thinking, working, and growing like ... Demonstrate familiarity or interest in statistical analysis or data mining through previous ...

IBM

Federal Data Scientist Intern 2027

Herndon, VA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

As an IBM intern, you won't just gain experience - you'll start thinking, working, and growing like ... Demonstrate familiarity or interest in statistical analysis or data mining through previous ...

AEI

Fall Intern: Housing Center

Washington, DC · On-site

$17 - $22.50/hr

Overview The American Enterprise Institute's Housing Center is seeking an intern to support the ... Strong Excel skills are required, along with experience in Stata or other statistical software.

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All JobsStatistical Intern JobsStatistical Intern Jobs in Washington

Statistical Intern information

See Washington salary details

$10

$19

$27

How much do statistical intern jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for statistical intern in Washington is $19.30, according to ZipRecruiter salary data. Most workers in this role earn between $16.35 and $21.78 per hour, depending on experience, location, and employer.

What does a statistical intern do?

A Statistical Intern assists with collecting, analyzing, and interpreting data to support research or business projects. They work under the supervision of experienced statisticians, using statistical software to clean data, run basic analyses, and create reports or visualizations. This role provides hands-on experience with real-world data and helps interns develop skills in problem-solving, critical thinking, and effective communication of statistical findings.

What types of projects can a statistical intern expect to work on, and how do these contribute to the organization's goals?

As a Statistical Intern, you can expect to work on projects such as data cleaning, exploratory data analysis, and assisting with the development of statistical models for real-world business or research problems. These projects often involve collaborating with data scientists, analysts, and subject-matter experts to draw actionable insights from data. Your contributions help inform decision-making, improve processes, and support larger organizational objectives. The experience gained from these projects not only builds your technical skills but also gives you exposure to how statistical methods drive impact in a professional setting.

What are the key skills and qualifications needed to thrive as a statistical intern, and why are they important?

To thrive as a Statistical Intern, you need a solid background in statistics, mathematics, and data analysis, typically supported by coursework in these subjects or progress toward a relevant degree. Familiarity with statistical software such as R, SAS, SPSS, or Python is commonly expected, along with proficiency in spreadsheet tools like Excel. Strong attention to detail, problem-solving abilities, and clear communication help interns interpret data accurately and present findings effectively. These skills ensure meaningful contributions to research and data-driven projects while supporting the team's analytical goals.

What is the difference between Statistical Intern vs Data Analyst?

AspectStatistical InternData Analyst
Required CredentialsTypically pursuing or recent graduate in statistics, mathematics, or related fieldBachelor's degree in statistics, data science, or related field; often requires some experience
Work EnvironmentInternship setting, often in research or academic projects, supervised by senior staffFull-time role in corporate, tech, or research organizations, with independent responsibilities
Employer & Industry UsageUniversities, research institutions, government agenciesBusinesses, tech companies, finance, healthcare

The main difference between a Statistical Intern and a Data Analyst lies in experience level and responsibilities. Interns are usually students or recent graduates gaining entry-level experience, often in academic or research settings. Data Analysts are more experienced professionals working full-time to analyze data, generate reports, and support decision-making in various industries.

Which internship is best for statistical interns?

The best internship for statistical interns typically involves roles in data analysis, research, or analytics departments of companies, government agencies, or research institutions. Internships that offer exposure to statistical software like R or Python and involve real-world data projects provide valuable experience. Selecting programs with mentorship, structured training, and opportunities to develop skills in statistical modeling enhances career prospects.

What are the most commonly searched types of Statistical jobs in Washington?

The most popular types of Statistical jobs in Washington are:

Statistical Intern jobs near you
Infographic showing various Statistical Intern job openings in Washington as of August 2026, with employment types broken down into 1% Internship, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $40,134 per year, or $19.3 per hour.

Intern - Year Round (Data Scientist)

Navy Federal Credit Union

Vienna, VA • On-site

Other

This job post has expired 1 day ago. Applications are no longer accepted.

Navy Federal Credit Union rating

8.1

Company rating: 8.1 out of 10

Based on 275 frontline employees who took The Breakroom Quiz

61st of 150 rated financial services

Job description

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.

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 2026 * Yello and WayUp Top 100 Internship Programs 2025 * Computerworld Best Places to Work in IT 2026 * Most Loved Workplace - America's Top Most Loved Workplaces 2025 * 2025 PEOPLE Companies That Care * Newsweek Most Trustworthy Companies in America 2026 * Military Times 2025 Best for Vets Employers * Forbes 2026 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 * 2026 Handshake Early Talent Award * Newsweek America's Greatest Workplaces for Culture, Belonging and Community 2026 From Fortune Magazine. 2026 Fortune Media IP Limited. All rights reserved. Used under license. Fortune and Fortune 100 Best Companies to Work For are registered trademarks of Fortune Media IP Limited and are used under license. Fortune Magazine, Fortune Media (USA) Corporation, and its affiliates 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

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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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