1

Environmental Data Science Intern Jobs in Virginia

Data Science Intern Location: Fairfax, VA Work Arrangement: On-site Overview : We are seeking a ... The diversity of work conditions may range from an environment where there is little or no physical ...

AI Intern

Manassas, VA · On-site

$15 - $20/hr

Responsibilities The internship or co-op program for an AI Intern provides highly motivated and ... Work closely with engineers, data scientists, and other teams to align AI solutions with business ...

Data Science SME

Quantico, VA · On-site

$119K - $133K/yr

The effective use of data is central to preparing Marine Corps forces for the future operating environment. What if you could apply your data science expertise to help the Marine Corps Warfighting ...

Bachelor's Degree in Data Science, Statistics, Mathematics, Computer Science, or related field ... delivery environments Data Scientist III * Bachelor's degree in Data Science, Statistics ...

next page

Showing results 1-20

Environmental Data Science Intern information

What are the key skills and qualifications needed to thrive as an Environmental Data Science Intern, and why are they important?

To thrive as an Environmental Data Science Intern, you need a strong background in environmental science, statistics, and data analysis, typically supported by coursework or a degree in a related field. Familiarity with programming languages like Python or R, data visualization tools, and GIS software is often required. Attention to detail, problem-solving abilities, and effective communication skills help interns translate data into actionable insights and collaborate with multidisciplinary teams. These skills ensure that data-driven decisions can be made to address complex environmental challenges.

What types of projects do Environmental Data Science Interns typically work on, and how do they contribute to the overall team goals?

Environmental Data Science Interns often work on projects involving the collection, analysis, and visualization of environmental data, such as air or water quality, climate trends, or biodiversity metrics. Interns may assist in developing models to forecast environmental changes or create dashboards that help communicate findings to stakeholders. These tasks support the team's efforts in research, policy-making, or environmental management by providing actionable insights and ensuring data-driven decision-making. Collaboration with scientists, data engineers, and policy analysts is common, offering interns exposure to interdisciplinary teamwork.

What is an Environmental Data Science Intern?

An Environmental Data Science Intern is a student or recent graduate who assists in analyzing environmental data to address issues such as climate change, pollution, or resource management. They use statistical methods, programming, and data visualization tools to process and interpret large datasets from sources like sensors, satellites, or field surveys. The role often involves working with environmental scientists to support research and inform decision-making. Interns gain hands-on experience in applying data science techniques to real-world environmental challenges, which can help prepare them for future careers in environmental science and analytics.

What is the difference between Environmental Data Science Intern vs Environmental Data Analyst?

AspectEnvironmental Data Science InternEnvironmental Data Analyst
Required CredentialsTypically pursuing or recent graduate in environmental science, data science, or related fieldsBachelor's or master's in environmental science, data analysis, or related fields; some roles prefer certifications in data analysis
Work EnvironmentInternship setting, often in research labs, environmental agencies, or consulting firmsFull-time role in environmental agencies, consulting firms, or corporate sustainability teams
Employer & Industry UsageUsed by organizations offering internships to train future professionalsUsed by organizations analyzing environmental data for decision-making and reporting

The main difference is that an Environmental Data Science Intern is an entry-level position aimed at gaining experience, while an Environmental Data Analyst is a more experienced role focused on analyzing and interpreting environmental data to support organizational goals.

What job categories do people searching Environmental Data Science Intern jobs in Virginia look for? The top searched job categories for Environmental Data Science Intern jobs in Virginia are:
What cities in Virginia are hiring for Environmental Data Science Intern jobs? Cities in Virginia with the most Environmental Data Science Intern job openings:
Infographic showing various Environmental Data Science Intern job openings in Virginia as of May 2026, with employment types broken down into 37% Internship, 41% Full Time, and 22% Part Time. Highlights an 100% In-person job distribution.
Data Science Intern

$27/hr

Full-time, Internship

Posted 20 days ago


Job description

About DZYNE
DZYNE Technologies is leading the future of autonomous defense. Based in Irvine, California, we develop and manufacture advanced airborne and ground-based defense solutions deployed in over 50 countries. Backed by U.S. Government Programs of Record, our technologies are field-proven, scalable, and production-ready.
We’re growing fast, and looking for innovators ready to make an impact. At DZYNE, you’ll join a culture built on collaboration, integrity, and purpose. We celebrate wins, value diverse perspectives, and support every team member’s success.
Ready to do work that matters? Join us.
Position Title: Data Science Intern
Location: Fairfax, VA
Work Arrangement: On-site
Overview:
We are seeking a Data Science Intern to support our analytics and database operations. This role focuses on database management, data pipelines, and modeling techniques
Responsibilities:
  • Assist with data parsing and database construction
  • Write and optimize SQL queries for data extraction and analysis
  • Help build and test predictive models and analytical tools
Required Skills/Qualifications:
  • Currently pursuing a degree in Data Science, Computer Science, Statistics, or a related field
  • Basic experience with SQL and relational databases
  • Familiarity with Python or R for data analysis
  • Understanding of data structures, analytics concepts, and statistical techniques
Preferred Skills/Qualifications:
  • Experience with database tools such as PostgreSQL, MySQL, or SQL Server
  • Exposure to machine learning libraries (pandas, NumPy, scikit‑learn, etc.)
  • Familiarity with data visualization tools (Power BI, Tableau, Matplotlib, etc.)
  • Understanding of ETL processes or data pipeline concepts
Working Conditions:
The diversity of work conditions may range from an environment where there is little or no physical discomfort, such as a general office environment, to warehouse and other facilities.
Physical Demands:
The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job:
  • Must have the ability to stoop, stand, climb, occasionally lift a minimum of 25 lbs.
  • Involves movement between departments, floors, and worksites to facilitate work.
Work Authorization Requirement:
Candidates must be legally authorized to work in the United States on a full-time basis without the need for current or future employment visa sponsorship.
Hourly Rate: $27.00
Hourly rate depends on relevant work experience, education, training, essential skills, and/or other factors such as specialized or high-demand professions. In addition to the annual salary, the position will be eligible for an annual bonus. The pay range for this job level is a general guideline only and not a guarantee of salary or annual bonus.
DZYNE Technologies is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, national origin, disability, or protected veteran status. In addition to federal law requirements, DZYNE Technologies complies with applicable state and local laws governing nondiscrimination in employment in every location in which our company has facilities. This policy applies to all terms and conditions of employment.
#LI-ONSITE