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Internship Conservation Data Science Jobs in Baltimore, MD

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 ...

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Internship Conservation Data Science information

See Baltimore, MD salary details

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How much do internship conservation data science jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for internship conservation data science in Baltimore, MD is $22.36, according to ZipRecruiter salary data. Most workers in this role earn between $17.21 and $24.38 per hour, depending on experience, location, and employer.

What is an internship in conservation data science?

An Internship in Conservation Data Science is a temporary position that provides students or recent graduates with practical experience in using data analysis and scientific methods to support conservation efforts. Interns typically assist with collecting, processing, and analyzing ecological or environmental data to help solve real-world conservation challenges. This role often involves using statistical software, geographic information systems (GIS), and programming languages like R or Python. The experience helps interns develop valuable skills for careers in conservation, environmental science, or data analytics.

What types of projects do conservation data science interns typically work on?

Conservation Data Science interns often engage in projects such as analyzing wildlife population data, developing data visualization dashboards, or building predictive models to inform conservation strategies. These projects are usually team-based and directly support larger research or conservation initiatives by providing actionable insights from complex datasets. Interns frequently collaborate with ecologists, GIS specialists, and other data scientists, gaining hands-on experience with real-world conservation challenges. This work not only helps interns develop technical and analytical skills but also contributes to evidence-based decision-making in conservation organizations.

What are the key skills and qualifications needed to thrive as an internship in conservation data science?

To thrive as an Internship Conservation Data Science, you need a solid grounding in data analysis, ecological principles, and statistics, typically supported by coursework or experience in environmental science or related fields. Familiarity with data analysis tools such as R or Python, GIS software, and data management systems is commonly required. Attention to detail, problem-solving abilities, and effective communication help interns collaborate with diverse teams and convey scientific findings. These skills enable interns to support evidence-based conservation decisions and contribute valuable insights to ecological projects.

What is the difference between Internship Conservation Data Science vs Conservation Data Analyst?

AspectInternship Conservation Data ScienceConservation Data Analyst
CredentialsTypically pursuing or recent graduate, no formal certification requiredBachelor's or master's in environmental science, data science, or related fields
Work EnvironmentInternship setting, often part-time or temporary, in conservation organizations or research projectsFull-time role in NGOs, government agencies, or research institutions
ResponsibilitiesAssisting with data collection, basic analysis, and learning conservation data toolsAnalyzing conservation datasets, generating reports, supporting decision-making

Internship Conservation Data Science roles are entry-level, focused on learning and supporting data tasks, while Conservation Data Analysts are more experienced, responsible for in-depth analysis and reporting. Both roles are vital in conservation efforts but differ mainly in experience level and scope of responsibilities.

What are popular job titles related to Internship Conservation Data Science jobs in Baltimore, MD?

For Internship Conservation Data Science jobs in Baltimore, MD, the most frequently searched job titles are:

What job categories do people searching Internship Conservation Data Science jobs in Baltimore, MD look for?

The top searched job categories for Internship Conservation Data Science jobs in Baltimore, MD are:

Internship Conservation Data Science jobs near you
Infographic showing various Internship Conservation Data Science job openings in Baltimore, MD as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $46,511 per year, or $22.4 per hour.

Computational Social Scientist

Protagonist

Baltimore, MD

Full-time

Re-posted 17 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.