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Environmental Data Science Intern Jobs in Virginia

Tulk LLC

Data Science SME Mid

Fort Belvoir, VA · On-site

$115K - $157K/yr

Data Science SME Mid TULK supports U.S. national security customers with cleared experts who ... Deliver GEOINT tradecraft learning in classroom, virtual, and mobile training environments. * Help ...

Carmax

Senior Manager, Data Science

Richmond, VA

Apply advanced data science techniques across the full model lifecycle: * Design, training ... Manage and prioritize multiple projects in a fast-paced environment * Foster both technical and ...

Carmax

Senior Manager, Data Science

Richmond, VA · On-site

$138K - $221K/yr

Apply advanced data science techniques across the full model lifecycle: * Design, training ... Manage and prioritize multiple projects in a fast-paced environment * Foster both technical and ...

Tulk LLC

Data Science SME Senior

Fort Belvoir, VA · On-site

$120K - $171K/yr

Data Science SME Senior TULK supports U.S. national security customers with cleared experts who ... Deliver GEOINT tradecraft learning in classroom, virtual, and mobile training environments. * Help ...

Whiterabbit.ai

As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... Large scale machine learning experience working with terabytes of data * Implemented custom ...

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All JobsEnvironmental Data Science Intern JobsEnvironmental Data Science Intern Jobs in Virginia

Environmental Data Science Intern information

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 types of projects does an environmental data science intern 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 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 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 are popular job titles related to Environmental Data Science Intern jobs in Virginia? For Environmental Data Science Intern jobs in Virginia, the most frequently searched job titles are:
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:
Environmental Data Science Intern jobs near you
Infographic showing various Environmental Data Science Intern job openings in Virginia as of August 2026, with employment types broken down into 13% Internship, 66% Full Time, 13% Part Time, 4% Temporary, and 4% Contract. Highlights an 88% In-person, 4% Hybrid, and 8% Remote job distribution.

Data Science SME Mid

Tulk LLC

Fort Belvoir, VA • On-site

$115K - $157K/yr

Full-time

Re-posted 13 days ago

Job description

Data Science SME Mid

TULK supports U.S. national security customers with cleared experts who understand the mission, the tradecraft, and the people who have to make decisions with imperfect information.

On GTLSS, TULK supports the National Geospatial-Intelligence College and related NGA mission partners by helping develop, deliver, and maintain GEOINT learning that is current, practical, and mission-relevant.

Why This Role Matters

This is a strong fit for a cleared Data Science professional who enjoys teaching, mentoring, and helping analysts build practical tradecraft skills. You will support course delivery and curriculum maintenance while working with experienced instructors, course managers, and mission partners.

What You Will Do

  • Deliver GEOINT tradecraft learning in classroom, virtual, and mobile training environments.
  • Help learners connect tradecraft concepts to realistic mission scenarios, analytic problems, and operational decision-making.
  • Support curriculum management, course maintenance, and course development activities in accordance with NGC guidance.
  • Review courseware for technical accuracy, currency, instructional effectiveness, and alignment to the assigned tradecraft area.
  • Participate in Integrated Development Team meetings with course managers, learning development representatives, and mission stakeholders.
  • Maintain required instructor certification and course qualification status.

Required Skills and Experience

  • U.S. citizenship is required.
  • An active TS/SCI security clearance is required. Some positions may require additional accesses, SCI eligibility, or successful completion of a Counterintelligence-scope polygraph process as directed by the customer.
  • Education: A bachelor's degree from an accredited (i.e., regional, national, or institutional) academic institution, related to their assigned area of expertise (i.e., Computational Thinking, Programming, Statistics, or Data Visualization).
  • Education: Department of Defense (DoD) Basic Instructor Certification
  • Experience: Required Experience: Minimum 5 years of experience focusing on the concepts and applications of data analytics, computer science and programming, data modeling, Artificial intelligence and machine learning.

What We Value

  • Mission focus, sound judgment, and professionalism in support of national security customers.
  • The ability to make complex GEOINT concepts clear, useful, and relevant to adult learners.
  • Strong communication, preparation, and follow-through.
  • A collaborative approach with government, contractor, and mission partners.
  • A bias for practical improvements that make training better and more useful for the mission.