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Data Science Intern Jobs in Springfield, VA (NOW HIRING)

2027 Summer Intern Associate

Bethesda, MD · Remote

$15.25 - $20.50/hr

Data Science Intern * Assist with data analysis, modeling, and exploratory data analysis * Support development of machine learning or statistical models * Prepare datasets for analysis and validation

2027 Summer Intern Associate

Bethesda, MD · On-site +1

$16 - $21.50/hr

Data Science Intern * Assist with data analysis, modeling, and exploratory data analysis * Support development of machine learning or statistical models * Prepare datasets for analysis and validation

Manager, Data Science Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling ...

Manager, Data Science Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling ...

Computer Science Internship

College Park, MD · On-site

$19 - $25/hr

Computer Science Intern Location: College Park, Maryland (across the street from campus) Who We Are ... Analyze and interpret data to generate insights and support decision-making. * Work on cross ...

Data Science SME Mid

Springfield, VA · On-site

$115K - $157K/yr

Data Science SME Mid Full Time Client Site - Springfield, VA, Springfield, VA, US 8 days ago Requisition ID: 1763 Salary Range: $115,000.00 To $157,938.00 Annually Data Science SME Mid TULK supports ...

Data Scientist III

Chantilly, VA · On-site

$135K - $180K/yr

This role focuses on applying data science, machine learning, and data engineering techniques to advanced science and technology (S&T) mission challenges. The ideal candidate is technically curious ...

Computer Science Intern Location: College Park, Maryland (across the street from campus) Who We Are ... Analyze and interpret data to generate insights and support decision-making. * Work on cross ...

Computer Science Intern Location: College Park, Maryland (across the street from campus) Who We Are ... Analyze and interpret data to generate insights and support decision-making. * Work on cross ...

Showing results 21-40

Data Science Intern information

See Springfield, VA salary details

$12

$23

$43

How much do data science intern jobs pay per hour?

As of Sep 14, 2026, the average hourly pay for data science intern in Springfield, VA is $23.51, according to ZipRecruiter salary data. Most workers in this role earn between $18.08 and $25.62 per hour, depending on experience, location, and employer.

What does a data science intern do?

A Data Science Intern typically assists with collecting, cleaning, and analyzing data to support business decisions or research. They work under the supervision of experienced data scientists, helping to build and test predictive models, create data visualizations, and present findings. Interns often use programming languages such as Python or R, and tools like SQL, to manipulate data. The role is designed to provide hands-on experience with real-world data science projects and help interns develop technical and analytical skills.

What types of projects can I expect to work on as a data science intern, and how will I collaborate with other team members?

As a Data Science Intern, you can expect to work on a variety of projects such as data cleaning, exploratory data analysis, building predictive models, or assisting with data visualization tasks. You'll often collaborate closely with data scientists, engineers, and sometimes business analysts, participating in team meetings and brainstorming sessions. Interns are usually given clearly defined tasks that contribute to larger projects, allowing you to learn from experienced professionals while making a meaningful impact. Regular check-ins and mentorship are typical, providing you with feedback and professional growth opportunities throughout your internship.

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

To thrive as a Data Science Intern, you need a solid grasp of statistics, data analysis, and programming (often in Python or R), typically supported by coursework in computer science, mathematics, or a related field. Familiarity with data visualization tools (like Tableau), machine learning libraries (such as scikit-learn or TensorFlow), and version control systems (like Git) is commonly expected. Strong problem-solving abilities, communication skills, and a willingness to learn help interns collaborate effectively and translate data insights for diverse audiences. These skills and qualities ensure that interns can contribute meaningfully to projects, adapt quickly, and bridge the gap between raw data and actionable business solutions.

Can I get an internship in data science?

Yes, data science internships are available for students and recent graduates interested in gaining practical experience with skills like programming, statistics, and data analysis using tools such as Python or R. Applicants typically need a background in related fields and may be required to complete technical assessments or projects during the application process.

What are the most commonly searched types of Data Science jobs in Springfield, VA?

The most popular types of Data Science jobs in Springfield, VA are:

What are popular job titles related to Data Science Intern jobs in Springfield, VA?

For Data Science Intern jobs in Springfield, VA, the most frequently searched job titles are:

What job categories do people searching Data Science Intern jobs in Springfield, VA look for?

The top searched job categories for Data Science Intern jobs in Springfield, VA are:

What cities near Springfield, VA are hiring for Data Science Intern jobs?

Cities near Springfield, VA with the most Data Science Intern job openings:

Infographic showing various Data Science Intern job openings in Springfield, VA as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $48,893 per year, or $23.5 per hour.

Data Science and Advanced Analytics Intern

Washington, DC • On-site

AARP
Non-Profits • 1 - 5K employees

$28/hr

Internship

Re-posted 13 days ago


AARP rating

7.9

Company rating: 7.9 out of 10

Based on 6 frontline employees who took The Breakroom Quiz


Job description

Overview
AARP is the nation's largest nonprofit, nonpartisan organization dedicated to empowering people 50 and older to choose how they live as they age. With a nationwide presence, AARP strengthens communities and advocates for what matters most to the more than 100 million Americans 50-plus and their families: health and financial security, and personal fulfillment. AARP also works for individuals in the marketplace by sparking new solutions and allowing carefully chosen, high-quality products and services to carry the AARP name. As a trusted source for news and information, AARP produces the nation's largest-circulation publications, AARP The Magazine and the AARP Bulletin.
Data & Analytics leverages business intelligence gained through advanced data analytics in order to maximize AARP's marketing and communications results. This includes using data science, data engineering, predictive modeling, and market analytics to guide data driven decision making.
The AARP Data Science & Advanced Analytics team is seeking a curious and creative intern to support ongoing enhancements to Data Science-owned AI/ML and agentic personalization capabilities across our digital channels. This paid internship, anticipated to begin in Fall 2026 with the potential to extend into additional semesters, sits within the Data Science function and focuses on AI-driven personalization, content intelligence, audience engagement analysis, and emerging agentic decisioning initiatives. The intern will help evaluate engagement signals, content effectiveness, and qualitative feedback to support the evolution of AI/ML-powered personalization systems and optimization frameworks. This internship offers hands-on exposure to how analytics, content strategy, audience engagement, and AI work together to improve personalized digital experiences, while supporting Data Science-led AI and agentic personalization initiatives focused on content intelligence, engagement optimization, and AI-assisted decisioning. Ideal candidates will have an interest in media, marketing analytics, audience strategy, communications, digital content, consumer behavior, personalization, and emerging AI technologies, combined with strong analytical thinking, intellectual curiosity, and the ability to connect insights to business outcomes.
Responsibilities
  • Support ongoing improvements to Data Science-owned AI/ML and agentic personalization capabilities
  • Review personalized content recommendations and engagement trends
  • Evaluate content relevance, freshness, tone, and audience alignment
  • Analyze web, app, and email engagement patterns and analytics
  • Support experimentation and optimization initiatives
  • Provide structured qualitative feedback to support AI-assisted decisioning
  • Assist with summaries, presentations, analytics reviews, and insight documentation

Qualifications
  • Currently pursuing an undergraduate or graduate degree in Media & Marketing Analytics, Audience Strategy, Digital Media, Integrated Marketing Communications, Business Analytics, Consumer Strategy, Marketing, Communications, or a related field
  • Strong interest in digital experiences, consumer engagement, personalization, and emerging AI technologies
  • Ability to think analytically, synthesize insights, and communicate findings clearly to both technical and non-technical audiences

Additional
  • Exposure to digital publishing, content marketing, audience development, or marketing analytics
  • Familiarity with audience engagement metrics, reporting, dashboards, or performance measurement
  • Interest in personalization, AI/ML, experimentation, recommendation systems, or emerging agentic AI applications
  • Experience creating presentations, reports, content analyses, or research summaries
  • Comfort working with both quantitative and qualitative information to identify patterns, opportunities, and insights
  • Curiosity about how data, content, and technology can work together to improve customer experiences and business outcomes

AARP will not sponsor an employment visa for this position.
Additional Requirements
  • Regular and reliable job attendance
  • Effective verbal and written communication skills
  • Exhibit respect and understanding of others to maintain professional relationships
  • Independent judgement in evaluation options to make sound decisions
  • In office/open office environment with the ability to work effectively surrounded by moderate noise

Hybrid Work Environment
AARP observes Mondays and Fridays as remote workdays, except for essential functions. Remote work can only be done within the United States and its territories.
Compensation and Benefits
The hourly range is $18.40 for undergraduates, $21 for graduate students, and $28 for Ph.D. candidates. Internships are non-exempt positions and are not eligible for employee benefits.
Equal Employment Opportunity
AARP is an equal opportunity employer committed to hiring a diverse workforce and sustaining an inclusive culture. AARP does not discriminate on the basis of race, ethnicity, religion, sex, color, national origin, age, sexual orientation, gender identity or expression, mental or physical disability, genetic information, veteran status, or on any other basis prohibited by applicable law.

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