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Social Science Internship Jobs in Washington (NOW HIRING)

Machine Learning Intern

Washington, DC · On-site

$27 - $42/hr

DS interns will have a designated data scientist mentor and will spend the majority of their time ... Social Sciences Relevant additional backgrounds also considered Essential Job Functions: Anomaly ...

Machine Learning Intern

Washington, DC · On-site

$27 - $42/hr

DS interns will have a designated data scientist mentor and will spend the majority of their time ... Social Sciences Relevant additional backgrounds also considered Essential Job Functions: Anomaly ...

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Social Science Internship information

See Washington salary details

$6

$18

$28

How much do social science internship jobs pay per hour?

As of Aug 26, 2026, the average hourly pay for social science internship in Washington is $18.85, according to ZipRecruiter salary data. Most workers in this role earn between $16.35 and $20.96 per hour, depending on experience, location, and employer.

What is a social science internship?

A Social Science Internship is a temporary position that allows students or recent graduates to gain practical experience in fields such as psychology, sociology, anthropology, political science, or related disciplines. Interns typically assist with research, data analysis, community outreach, or program development under the supervision of professionals. These internships provide valuable hands-on learning, networking opportunities, and insight into potential career paths within the social sciences.

What types of projects and tasks can I expect as a social science intern?

As a Social Science Intern, you can expect to engage in a variety of projects, including assisting with data collection, literature reviews, survey design, and the analysis of qualitative or quantitative data. You may also help prepare reports, participate in team meetings, and contribute to research presentations. Interns typically work closely with experienced researchers and may have opportunities to collaborate across departments, gaining exposure to different areas within the field. This hands-on experience is valuable for developing both technical and communication skills, and often serves as a stepping stone to more specialized roles or graduate study.

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

To thrive as a Social Science Intern, you need a strong background in research methods, data analysis, and social science theory, typically supported by coursework in sociology, psychology, or related fields. Familiarity with statistical software (such as SPSS, R, or NVivo) and experience conducting literature reviews are commonly required. Strong communication, critical thinking, and teamwork skills help interns effectively collaborate and present findings. These skills are important for producing rigorous research, supporting project goals, and contributing meaningfully to the team.

What is the difference between Social Science Internship vs Social Research Assistant?

AspectSocial Science InternshipSocial Research Assistant
Required CredentialsTypically pursuing or recent graduate in social sciencesUsually requires a bachelor's degree in social sciences or related field
Work EnvironmentInternship programs, often in academic, government, or NGO settingsResearch projects, data collection, analysis in academic or research institutions
Employer & Industry UsageUsed by universities, NGOs, government agencies for trainingCommon in research firms, universities, policy institutes
Search & Comparison IntentUnderstanding entry-level opportunities in social sciencesLooking for research support roles in social science projects

In summary, a Social Science Internship is an entry-level, often educational experience designed for students or recent graduates, while a Social Research Assistant is a more specialized role involving active research support, typically requiring a relevant degree. Both roles are vital in social science research but differ mainly in experience level and job responsibilities.

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

The most popular types of Social Science jobs in Washington are:

What are popular job titles related to Social Science Internship jobs in Washington?

For Social Science Internship jobs in Washington, the most frequently searched job titles are:

What cities in Washington are hiring for Social Science Internship jobs?

Cities in Washington with the most Social Science Internship job openings:

Infographic showing various Social Science Internship job openings in Washington as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 17% Part Time, and 4% Contract. Highlights an 78% Physical, 2% Hybrid, and 20% Remote job distribution, with an average salary of $39,215 per year, or $18.9 per hour.

Computational Social Scientist

Protagonist

Washington, DC

$70K - $102K/yr

Full-time

Re-posted 9 days ago


Job description

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-faceted role. You'll support our internal data efforts, stay hands-on with analysis and client delivery, and work with the product team to help improve Narrative Analytics, the platform our analysts use every day. Whether your background is in social science research, product and analytics, or a more technical track, what matters most is that you can take messy, real-world data and make it useful for our team and our end customers.

Responsibilities
  • Contribute to our data efforts
    • Support internal data science work: apply sound methods, keep quality high, and keep analysis reproducible and defensible.
    • Build and apply classification models, clustering, and other ML/AI approaches to surface insight from large, unstructured datasets.
    • Help 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 both the internal team and customers with clarity and confidence.
  • Support the product and work across teams
    • 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.
Requirements
  • Must be eligible to work on US Government contracts
  • A BS 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.
  • 2+ years of relevant experience with a bachelor's or BS degree with relevant internship experience and a proven track record of leveraging analytics to drive significant business impact, or a 1+ years of relevant experience with a master's degree with strong, practical data analytics project experience or relevant internships.
  • 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: $70,000-$102,000 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.