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Environmental Data Science Intern Jobs (NOW HIRING)

Prism Data

Data Science Intern

San Diego, CA · On-site

$32.50/hr

Data Science Intern Prism Data is building the future of credit risk assessment using modern data science and transaction-level financial data. Our API-based platform enables banks, fintechs, and ...

Prism Data

Data Science Intern

Manhattan, NY · On-site

$32.50/hr

Data Science Intern Prism Data is building the future of credit risk assessment using modern data science and transaction-level financial data. Our API-based platform enables banks, fintechs, and ...

Ad hoc Research

Data Science Intern

Plano, TX · On-site

Position Title: Data Science Intern Position Overview: We are seeking talented and driven ... This is a unique opportunity to gain hands-on experience in a collaborative environment while ...

Rundoo

Data Science Intern

Chicago, IL · On-site +1

$1K/wk

Data Science Intern at Rundoo Our mission is to empower independent supply stores with best-in ... Bonus Points * Experience in research environments using data to answer real-world problems.

Western EcoSystems

Data Science Intern

Bosler, WY · On-site

$14 - $19/hr

Job Title Data Science Intern Salary 14.00 - 19.00 Job Classification Hourly Location Laramie, WY ... Our work matters to our clients, communities, and the environment. Join WEST and discover a company ...

DZYNE Technologies

Data Science Intern

Fairfax, VA · On-site

$27/hr

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 ...

Western EcoSystems

Data Science Intern

Laramie, WY · On-site

$14 - $19/hr

Job Title Data Science Intern Salary 14.00 - 19.00 Job Classification Hourly Location Laramie, WY ... Our work matters to our clients, communities, and the environment. Join WEST and discover a company ...

Athena LLC

Role Overview The Data Science Intern will help us to understand the performance of Executive Partners (XPs) and build advanced matching models to evaluate Athena's Executive Partners (XPs) and ...

Bertelsmann

Data Science Intern

Manhattan, NY · On-site

$19/hr

As a Data Science Intern in our New York-based Data Lab, you will work at the forefront of the digital transformation of education data, supporting the development of innovative, data-driven ...

Athenago

Data Science Intern

Wilmington, DE

Role Overview The Data Science Intern will help us to understand the performance of Executive Partners (XPs) and build advanced matching models to evaluate Athena's Executive Partners (XPs) and ...

Bertelsmann, Inc.

Data Science Intern

Manhattan, NY · On-site

$19/hr

As a Data Science Intern in our New York-based Data Lab, you will work at the forefront of the digital transformation of education data, supporting the development of innovative, data-driven ...

DocuSign

Product Data Science Intern

Seattle, WA · On-site +1

As a Data Scientist Intern, you'll dig into the data to uncover insights, identify opportunities ... Highly motivated, organized, self-starter who thrives in a fast-paced environment Wage Transparency ...

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Environmental Data Science Intern information

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

As of Jun 5, 2026, the average hourly pay for environmental data science intern in the United States is $22.50, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $24.52 per hour, depending on experience, location, and employer.

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.

More about Environmental Data Science Intern jobs
What cities are hiring for Environmental Data Science Intern jobs? Cities with the most Environmental Data Science Intern job openings:
What are the most commonly searched types of Environmental Data Science jobs? The most popular types of Environmental Data Science jobs are:
What states have the most Environmental Data Science Intern jobs? States with the most job openings for Environmental Data Science Intern jobs include:
What job categories do people searching Environmental Data Science Intern jobs look for? The top searched job categories for Environmental Data Science Intern jobs are:
Environmental Data Science Intern jobs near you
Infographic showing various Environmental Data Science Intern job openings in the United States as of May 2026, with employment types broken down into 1% Internship, 2% As Needed, 68% Full Time, 22% Part Time, 1% Temporary, and 6% Contract. Highlights an 95% Physical, 2% Hybrid, and 3% Remote job distribution, with an average salary of $46,809 per year, or $22.5 per hour.
Data Science Intern

Data Science Intern

Prism Data

San Diego, CA • On-site

$32.50/hr

Other

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

Job description

Data Science Intern

Prism Data is building the future of credit risk assessment using modern data science and transaction-level financial data. Our API-based platform enables banks, fintechs, and lenders to use automated cash flow underwriting—analyzing detailed banking history in real time—to improve credit decisions, expand approvals, and reduce losses.

Prism transforms raw transaction data from any source into highly structured, explainable features and predictive risk scores, including the market-leading CashScore®. Our products sit at the intersection of data engineering, machine learning, and regulated financial decisioning—and are trusted by some of the largest financial institutions and fastest-growing fintechs in the country.

Prism is well-funded and backed by leading strategic investors like Synchrony and Citi, along with top-tier venture firms including Obvious Ventures, Valar Ventures, and Core Innovation Capital.

At the heart of Prism's offering is Data Science—not just as a technical function, but as the core product. As such, the Data Science team plays a uniquely central role in the company's success, with direct influence on product innovation, commercial strategy, and company-wide decision making.

Prism is seeking a Data Science Intern to join its growing team. The team conducts R&D for next-generation solutions, tests and presents Prism products' effectiveness at solving prospects' and clients' business problems, produces insights that inform external thought leadership, and collaborates with cross-functional partners to enhance operations. The role presents a rare opportunity to make a measurable difference at a critical inflection point for both Prism and the credit scoring and lending industries.

What You'll Do:

  • Train Models: Utilize your background in data science to build models to categorize transactions, identify income, and proactively identify credit risk.
  • Research: Research and evaluate new model development and training techniques. Determine applicability of new technologies to Prism's business.
  • Evaluate: Explain to clients and prospects how they can get the most value out of Prism's solutions.
  • Communicate: Explain technical concepts to clients and prospects with less experience in data science. Translate the statistical model performance into business value.

Qualifications:

  • Bachelor's degree in a STEM-related field.
  • Knowledge/interest in common data science/statistical tools and techniques.
  • Python programming experience.
  • Strong strategic thinking and analytical skills.
  • Excellent communicator and internal relationship builder, who can collaborate cross-functionally (e.g., with our sales, product and technical teams) on complex topics.
  • Ability to understand and explain technology and data flows.
  • A self-starter with a track record of success working with distributed teams.

This role is a temporary, hourly role, with the possibility to transition into a full time entry-level Data Scientist role in the fall. The role is 40 hours per week and pays $32.50 per hour.

Prism is an equal opportunity employer and values diversity. We do not discriminate based on race, color, national origin, ethnicity, religion or religious belief, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, military or veteran status, disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state, and local laws. Prism is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. Please let us know if you need assistance with your application or interviews due to a disability.

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