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Internship Computational Sustainability Jobs (NOW HIRING)

Sun Chemical

Material Science Analyst

Carlstadt, NJ · On-site

$26.75 - $33.25/hr

Together with DIC, Sun Chemical is continuously working to promote and develop sustainable ... Apply computational, statistical, and data-analysis tools to support interpretation of experimental ...

Sun Chemical

Material Science Analyst

Carlstadt, NJ · On-site

$26.75 - $33.25/hr

Together with DIC, Sun Chemical is continuously working to promote and develop sustainable ... Apply computational, statistical, and dataanalysis tools to support interpretation of experimental ...

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How much do internship computational sustainability jobs pay per hour?

As of Aug 1, 2026, the average hourly pay for internship computational sustainability in the United States is $19.31, according to ZipRecruiter salary data. Most workers in this role earn between $16.11 and $20.91 per hour, depending on experience, location, and employer.

What is the difference between Internship Computational Sustainability vs Data Science Intern?

AspectInternship Computational SustainabilityData Science Intern
Required CredentialsRelevant coursework in sustainability, environmental science, computer scienceBackground in statistics, computer science, or related fields
Work EnvironmentResearch projects, environmental organizations, academiaTech companies, research labs, startups
Employer & Industry UsageUniversities, NGOs, government agencies focused on sustainabilityTech firms, data-driven industries, consulting
Common Search & ComparisonInternship Computational Sustainability vs Data Science Intern

Internship Computational Sustainability focuses on applying computational methods to environmental and sustainability challenges, often within academic or NGO settings. Data Science Intern roles are broader, emphasizing data analysis and modeling across various industries. Both require programming skills and analytical thinking, but Internship Computational Sustainability emphasizes environmental impact and sustainability projects.

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What cities are hiring for Internship Computational Sustainability jobs? Cities with the most Internship Computational Sustainability job openings:
What are the most commonly searched types of Computational Sustainability jobs? The most popular types of Computational Sustainability jobs are:
What states have the most Internship Computational Sustainability jobs? States with the most job openings for Internship Computational Sustainability jobs include:
What job categories do people searching Internship Computational Sustainability jobs look for? The top searched job categories for Internship Computational Sustainability jobs are:
Internship Computational Sustainability jobs near you
Infographic showing various Internship Computational Sustainability job openings in the United States as of July 2026, with employment types broken down into 68% Full Time, 31% Part Time, and 1% Contract. Highlights an 65% Physical, 2% Hybrid, and 33% Remote job distribution, with an average salary of $40,174 per year, or $19.3 per hour.

Computational Social Scientist

Protagonist

Washington, DC • On-site

Full-time

Posted 15 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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