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Data Science Internships Jobs in Washington (NOW HIRING)

KBR

Data Engineer with Security Clearance

Chantilly, VA · On-site

$150K - $181K/yr

Experience in data science, analytics, or a related technical discipline (academic research and internships may be considered) * Proficiency in programming languages such as Python or R * Experience ...

IBM

Federal Data Scientist Intern 2027

Herndon, VA · On-site

For many, it started with an internship. As an IBM intern, you won't just gain experience - you'll ... Receive mentorship from diverse professionals in science engineering and consulting applying ...

IBM

Federal Data Scientist Intern 2027

Herndon, VA · On-site

For many, it started with an internship. As an IBM intern, you won't just gain experience - you'll ... Receive mentorship from diverse professionals in science engineering and consulting applying ...

Rackner

Computer Science Internship

College Park, MD

$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 ...

Rackner

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 ...

Rackner

Computer Science Internship

College Park, MD

$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 ...

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Data Science Internships information

See Washington salary details

$23.1K

$113.7K

$218K

How much do data science internships jobs pay per year?

As of Aug 21, 2026, the average yearly pay for data science internships in Washington is $113,660.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,388.00 and $165,344.00 per year, depending on experience, location, and employer.

What is a data science internship?

A Data Science Internship is a temporary position where students or recent graduates gain hands-on experience in data analysis, machine learning, and statistical modeling. Interns typically work with real-world datasets, build predictive models, and assist in data-driven decision-making processes. They may use programming languages like Python or R, tools such as SQL, and visualization libraries to communicate insights. This role helps develop technical and analytical skills while providing exposure to industry practices.

What do data science interns do?

Data Science Interns usually assist with tasks such as data cleaning and preprocessing, exploratory data analysis, developing and testing predictive models, and creating data visualizations to help teams make informed decisions. Interns often collaborate closely with data scientists, engineers, and business analysts, allowing them to contribute to larger, real-world projects while learning best practices. Daily responsibilities might also include attending team meetings, presenting results to stakeholders, and documenting their work. This hands-on experience allows interns to apply academic knowledge, build a professional portfolio, and prepare for future opportunities in the field.

What skills and qualifications are needed for data science internships?

To excel in Data Science Internships, a solid understanding of statistics, programming (often in Python or R), and data analysis is typically required, often supported by progress toward a degree in a related field. Familiarity with tools like SQL, Jupyter notebooks, data visualization libraries, and sometimes cloud platforms or machine learning frameworks is common. Strong problem-solving abilities, attention to detail, and effective communication skills help interns succeed in team environments. These skills enable interns to analyze real-world datasets, communicate findings clearly, and contribute meaningful insights to organizational projects.

What do you do as a data science internship?

A data science internship involves assisting with data collection, cleaning, analysis, and visualization to support business decisions. Interns often work with tools like Python, R, and SQL, and may contribute to building predictive models or dashboards under supervision. The role provides practical experience in data analysis and machine learning techniques within a professional environment.

What are the most commonly searched types of Data Science Internships jobs in Washington?

The most popular types of Data Science Internships jobs in Washington are:

What are popular job titles related to Data Science Internships jobs in Washington?

For Data Science Internships jobs in Washington, the most frequently searched job titles are:

What job categories do people searching Data Science Internships jobs in Washington look for?

The top searched job categories for Data Science Internships jobs in Washington are:

What cities in Washington are hiring for Data Science Internships jobs?

Cities in Washington with the most Data Science Internships job openings:

Data Science Internships jobs near you
Infographic showing various Data Science Internships job openings in Washington as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 9% Part Time, 2% Temporary, and 7% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution, with an average salary of $113,660 per year, or $54.6 per hour.

Senior Computational Social Scientist

Protagonist

Washington, DC • On-site

Full-time

Re-posted 18 days ago

Job description

Join Our Talented Team at Protagonist
We fuse rigorous, methodologically sound analysis with our cutting-edge technology platform, Narrative Analytics®. This powerful combination enables us to quantitatively analyze open-source media, deliver strategic recommendations, and craft executive-level communication strategies for clients with missions that matter.
Why Us?
Our team is a vibrant mix of communication specialists, data scientists, and subject matter experts with extensive experience across U.S. Government agencies, non-profit organizations, and Fortune 500 companies. By joining Protagonist, you'll immerse yourself in a collaborative environment where innovation thrives, and your contributions truly matter.
What We Do
  • Innovative Solutions: We co-develop cutting-edge solutions with our clients to address tough communication problems and capitalize on opportunities to make a tangible impact.
  • Data-Driven Insights: Our tools and methodologies provide actionable insights that help clients meet their communication objectives and stay ahead of global challenges.
  • Applied Expertise: We integrate our solutions within client organizations, leveraging our profound expertise to address critical issues and ensure sustainable success.
Be Part of Something Bigger
At Protagonist, you'll work on compelling projects that make a real difference. We seek talented individuals eager to contribute to our mission and grow alongside us. If you're passionate about communication, data analysis, and making an impact, we invite you to explore a career with Protagonist.
Explore Your Future with Us!
Ready to take the next step in your career? Join us at Protagonist and be part of a team that's making a difference.
Washington, DC | Full-Time | Hybrid
Job Description
In this role, you'll apply data science and analytic methods directly to projects, turning large, often unstructured datasets into findings that teams and clients can act on. Our work lives at the intersection of data science and social science: we pair computational techniques with an understanding of the social, political, and information dynamics behind the data. This is a multi-hatted role. You'll help lead our internal data efforts, stay hands-on with analysis and client delivery, and partner with the product team to shape Narrative Analytics™, the platform our analysts use every day. Whether you come from a social science research background, a product-and-analytics path, or a more technical track, what matters most is that you can take messy, real-world data and make it useful to our internal team and end customers.
Responsibilities
  • Lead our data efforts
    • Guide internal data science work: shape the approach, hold quality high, and keep analysis reproducible and defensible.
    • Design and apply classification models, clustering, and other ML/AI approaches to surface insight from large, unstructured datasets.
    • Translate qualitative research questions into structured analytical workflows.
  • Build AI-powered analytical workflows
    • Design prompts, LLM chains, and agentic workflows that automate classification, thematic coding, entity extraction, and summarization at scale.
    • Build and evaluate repeatable analytical products with real quality controls and human-in-the-loop checks.
    • Experiment with emerging techniques (RAG, multi-step reasoning, tool-using agents) to extend what we can deliver.
  • Make data usable and clear
    • Handle complex cleaning, transformation, and wrangling so the data stays trustworthy.
    • Build dashboards and visualizations (Tableau, Superset, or similar) that make insight clear to clients and colleagues alike.
    • Turn findings into actionable recommendations and present them directly to clients with clarity and confidence.
  • Shape the product and work across streams
    • Work hand in hand with the product team to shape Narrative Analytics™ around what users actually need, bringing the analyst's and client's perspective into product design.
    • Collaborate across analytics, product, and client teams so the work fits together and reaches the people who depend on it.
    • Mentor junior analysts and interns and contribute technical sections to proposals and white papers.
Requirements
  • Must be eligible to work on US Government contracts.
  • A degree in a quantitative or analytical field (data science, computer science, statistics, computational social science, political science, economics, communications, or a related discipline), or equivalent hands-on experience.
  • 5+ years of relevant experience with a bachelor's (or 3+ with an advanced degree), including at least 2 years focused on data science with a track record of real impact.
  • Hands-on experience working with text-as-data: media, social media, or open-source text corpora.
  • Working proficiency in Python and/or R, plus solid SQL for pulling, transforming, and validating data.
  • Familiarity with core NLP and ML methods (text classification, topic modeling, sentiment and stance detection, embeddings, transformers) and with applying LLMs in real workflows (prompt engineering, structured outputs, integration).
  • The ability to explain technical work to non-technical audiences and to thrive in a fast-paced, collaborative team.
Ideal Candidates
  • Existing security clearance (SECRET or higher) a plus
  • Experience designing structured content analysis or analytical frameworks for text data.
  • Experience in information environment assessment, strategic communication analysis, or media landscape monitoring.
  • Experience shaping analytical tools or platforms around real user needs.
  • Experience with computational social science methods (network analysis, narrative framing, document similarity) that go beyond keyword search.
  • Experience translating social science research questions into scalable computational approaches.
Additional Information
If you're passionate about technology and making an impact, apply today! Protagonist is dedicated to fostering a welcoming and innovative environment where everyone's voice can make a difference.
Protagonist is an Equal Opportunity Employer.
Salary Range: $82,216-$129,885 based on education and level of relevant experience.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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