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Internship Computer Science Graduate Jobs in Washington

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Internship Computer Science Graduate information

See Washington salary details

$22K

$63.7K

$128.8K

How much do internship computer science graduate jobs pay per year?

As of Sep 11, 2026, the average yearly pay for internship computer science graduate in Washington is $63,726.00, according to ZipRecruiter salary data. Most workers in this role earn between $44,020.00 and $67,640.00 per year, depending on experience, location, and employer.

What does an internship computer science graduate do?

An Internship Computer Science Graduate typically works in a temporary position within a company, applying their academic knowledge to real-world projects. Their responsibilities can include assisting with software development, testing code, troubleshooting technical issues, and collaborating with teams on various IT or computer science-related tasks. This role helps graduates gain practical experience, build professional networks, and enhance their skills for future full-time employment in the tech industry.

What are the key skills and qualifications needed to thrive as an internship computer science graduate?

To thrive as an Internship Computer Science Graduate, you need a solid understanding of programming languages (such as Python, Java, or C++), data structures, algorithms, and typically a bachelor's degree or enrollment in a computer science program. Familiarity with version control systems like Git, integrated development environments (IDEs), and issue tracking tools is often expected. Strong problem-solving abilities, eagerness to learn, and effective teamwork and communication skills help you stand out. These competencies are crucial for contributing to real-world projects, adapting to fast-changing technologies, and collaborating within professional engineering teams.

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

As a Computer Science graduate intern, you'll typically work on real-world projects such as software development, bug fixing, testing, or assisting with research and data analysis. Many internships offer opportunities to contribute to codebases, participate in code reviews, and collaborate closely with experienced developers, designers, and product managers. The tasks assigned are designed to build your technical and problem-solving skills while exposing you to industry-standard tools and workflows. You'll likely have regular check-ins with mentors and team members to support your learning and growth throughout the internship.

What is the difference between Internship Computer Science Graduate vs Entry-Level Software Developer?

AspectInternship Computer Science GraduateEntry-Level Software Developer
Required CredentialsRecent CS degree or in progressBachelor's in CS or related field
Work EnvironmentTemporary, training-focused, often in tech companies or startupsFull-time, ongoing role in software development teams
Employer & Industry UsageInternships offered by tech firms, startups, and universitiesEmployers seeking new graduates for entry-level positions

In summary, an Internship Computer Science Graduate is a temporary, training-focused position aimed at gaining practical experience, while an Entry-Level Software Developer is a full-time role with ongoing responsibilities in software development. Internships often serve as a stepping stone to full-time positions like software developer roles.

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

The most popular types of Computer Science Graduate jobs in Washington are:

Internship Computer Science Graduate jobs near you

Computational Social Scientist

Washington, DC • On-site

Protagonist
See more jobs at Protagonistexternal

Full-time

Re-posted 25 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 Analyticsâ„¢ 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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