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Environmental Data Science Intern Jobs in Baltimore, MD

Dlapiper

Data Scientist

Baltimore, MD · On-site +1

Prioritizes, scopes and manages data science projects for internal stakeholders and clients ... Work Environment The firm's work location requirements may be modified at the firm's discretion.

Analygence

Data Scientist III

Fulton, MD · On-site

... science, predictive analytics, statistical modeling, large-scale data processing, and database technologies, with the ability to integrate analytical solutions into complex enterprise IT environments.

Analygence

Data Scientist IV

Fulton, MD

... science, predictive analytics, statistical modeling, large-scale data processing, and database technologies, with the ability to integrate analytical solutions into complex enterprise IT environments.

Analygence

Data Scientist II

Fulton, MD · On-site

... science, predictive analytics, statistical modeling, large-scale data processing, and database technologies, with the ability to integrate analytical solutions into complex enterprise IT environments.

Agile Defense

Data Scientist

Fort George G Meade, MD · On-site

$100 - $130/hr

Implement core data science capabilities, such as entity resolution, classification, clustering, or prediction, within containerized environments that adhere to CI/CD, version control, and testing ...

Phase2 Technology

Data Scientist

Fort George G Meade, MD · On-site

$77.60 - $176/hr

Ability to work in Windows and Linux OS environments * Bachelor's degree in Operations Research, Applied Mathematics, or Data Science Clearance: Applicants selected will be subject to a security ...

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Showing results 21-40

All JobsEnvironmental Data Science Intern JobsEnvironmental Data Science Intern Jobs in Baltimore, MD

Environmental Data Science Intern information

See Baltimore, MD salary details

$11

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How much do environmental data science intern jobs pay per hour?

As of Aug 26, 2026, the average hourly pay for environmental data science intern 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 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 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 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 are popular job titles related to Environmental Data Science Intern jobs in Baltimore, MD?

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

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

The top searched job categories for Environmental Data Science Intern jobs in Baltimore, MD are:

What cities near Baltimore, MD are hiring for Environmental Data Science Intern jobs?

Cities near Baltimore, MD 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 Baltimore, MD as of August 2026, with employment types broken down into 10% Internship, 71% Full Time, 15% Part Time, 2% Temporary, and 2% Contract. Highlights an 93% In-person, 2% Hybrid, and 5% Remote job distribution, with an average salary of $46,511 per year, or $22.4 per hour.

Research Scientist Intern (2025)

Whiterabbit.ai

Annapolis, MD • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

We are looking for a Research Scientist Intern to push the state of the art of our AI models. As a Research Scientist Intern at Whiterabbit.ai, you will:

  • Play a key role in architecting the algorithms and models that will power our products
  • Train on a dedicated high-performance compute cluster specialized for deep learning research
  • Work with doctors and healthcare professionals to identify serious problems and leverage their domain expertise to build robust solutions
  • Remain an active contributor to the research community by partnering with universities and publishing high impact papers

Who we are:

Our mission at Whiterabbit.ai is to save lives and eliminate suffering through the early detection of cancer with artificial intelligence. We collaborate closely with one of the top medical schools in the country and have exclusive access to one of the world’s largest cancer datasets with millions of images. We invent algorithms that make doctors more productive, more accurate, and more capable. We build products and services with a relentless focus on transforming the patient’s healthcare experience.

Responsibilities

  • Develop highly scalable classifiers and detectors that solve real-world problems
  • Learn and understand a large body of research in deep learning and machine learning
  • Participate in cutting-edge research for medical applications of computer vision

Must Have Experience

  • Experience with deep learning and convolutional networks
  • Strong theoretical and empirical research background
  • Fluency with a deep learning framework and Python

Nice to Have Experience

  • Contributions to research communities and efforts, such as publications at conferences like CVPR, NeurIPS, ICCV, ECCV, ICML, and ICLR
  • Large scale machine learning experience working with terabytes of data
  • Implemented custom operations/modules in a deep learning framework
  • Imagination, ambition, and curiosity

Apply