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Internship Economics Computer Science Jobs in Washington, DC

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Internship Economics Computer Science information

Which internship is best for a computer science student?

The best internship for a computer science student depends on their interests and career goals, but generally, internships at technology companies or research institutions that offer hands-on experience in programming, data structures, and software development are highly valuable. Look for roles that provide mentorship, exposure to real-world projects, and opportunities to learn relevant tools like Python, Java, or cloud platforms. Certifications or coursework in algorithms and systems can also enhance internship prospects.

What are the key skills and qualifications needed to thrive as an economics and computer science intern, and why are they important?

To thrive as an Economics and Computer Science Intern, you need foundational knowledge in economic theory, data analysis, and programming—often supported by coursework in economics, statistics, and computer science. Familiarity with tools like Python, R, SQL, and data visualization platforms, as well as experience using statistical software, is typically expected. Strong analytical thinking, problem-solving abilities, and effective communication skills will help you stand out in this role. These competencies are crucial for interpreting complex data, contributing valuable insights, and collaborating efficiently with multidisciplinary teams.

What is an internship economics computer science?

Internship Economics Computer Science positions are temporary roles designed for students or recent graduates interested in the intersection of computer science and economics. These internships typically involve tasks such as data analysis, economic modeling, programming, and research to solve real-world economic problems using computational methods. Interns gain hands-on experience working with large datasets, developing algorithms, and applying economic theory to technology-driven projects. These positions are often found in research institutions, tech companies, financial firms, and government agencies, providing valuable exposure to both fields.

What kind of internships can I get with an internship economics computer science?

Internship roles combining economics and computer science often include data analyst, financial analyst, research assistant, or software development internships in finance, tech, or consulting firms. These positions typically require skills in programming, data analysis, and economic modeling, and may involve working with tools like Python, R, or SQL.

What jobs combine internship economics and computer science?

Jobs that combine internship economics and computer science include roles such as data analyst, economic analyst, financial analyst, and research associate in tech or finance firms. These positions often require skills in programming, statistical analysis, and economic modeling, and may involve using tools like Python, R, or SQL to analyze economic data and support decision-making.

What is the difference between Internship Economics Computer Science vs Internship Data Analysis?

AspectInternship Economics Computer ScienceInternship Data Analysis
Required SkillsEconomics principles, programming, data modelingStatistical analysis, programming, data visualization
Work EnvironmentResearch, software development, economic modelingData processing, reporting, business insights
Industry UsageFinance, tech, consultingMarketing, finance, tech

Internship Economics Computer Science focuses on applying economic theories with programming skills to analyze markets and develop models. In contrast, Internship Data Analysis emphasizes statistical techniques and data visualization to interpret large datasets. Both roles often overlap in tech and finance sectors, but their core focus and skill sets differ slightly.

What types of projects can I expect to work on during an economics and computer science internship?

As an intern combining economics and computer science, you can expect to work on projects involving data analysis, algorithm development, and economic modeling. Typical tasks may include using programming languages like Python or R to analyze large datasets, building predictive models for financial or market trends, and collaborating with economists and software engineers to develop data-driven solutions. These projects not only enhance your technical skills but also provide valuable exposure to real-world economic problem-solving within a collaborative, interdisciplinary team environment.
What are popular job titles related to Internship Economics Computer Science jobs in Washington, DC? For Internship Economics Computer Science jobs in Washington, DC, the most frequently searched job titles are:
What job categories do people searching Internship Economics Computer Science jobs in Washington, DC look for? The top searched job categories for Internship Economics Computer Science jobs in Washington, DC are:
Internship Economics Computer Science jobs near you
Infographic showing various Internship Economics Computer Science job openings in Washington, DC as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, 3% Contract, and 1% Nights. Highlights an 80% Physical, 1% Hybrid, and 19% Remote job distribution.

Computational Social Scientist

Protagonist

Washington, DC • On-site

Full-time

Posted 22 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-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.

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