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Environmental Data Science Intern Jobs (NOW HIRING)

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 ...

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 ...

Centerfield

Data Science Intern

Los Angeles, CA · On-site

Centerfield is looking for a curious, hands-on Data Science Intern to work alongside our Data Science team on the systems that turn millions of customer conversations into intelligence. You'll ...

Faurecia

Data Science Intern

Auburn Hills, MI

FORVIA is looking for a year-round Data Science Intern for its headquarters in Auburn Hills ... We cultivate a learning environment, dedicating tools and resources to ensure we remain at the ...

Faurecia

Data Science Intern

Auburn Hills, MI · On-site

FORVIA is looking for a year-round Data Science Intern for its headquarters in Auburn Hills ... At Forvia, you will find an engaging and dynamic environment where you can contribute to the ...

DEUNA

Data Science intern

San Francisco, CA · On-site

We are looking for curious, analytical, and motivated students who are eager to learn about Data Science in a fast-paced technology environment. During the internship, you will support the Data team ...

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

As of Aug 11, 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 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.
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What cities are hiring for Environmental Data Science Intern jobs? Cities with the most Environmental Data Science Intern job openings:
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Environmental Data Science Intern jobs near you
Infographic showing various Environmental Data Science Intern job openings in the United States 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, with an average salary of $46,809 per year, or $22.5 per hour.

Data Science Intern

Plymouth Rock Assurance Corporation

Boston, MA

$25 - $30/hr

Full-time

Re-posted 8 days ago

Plymouth Rock Assurance rating

8.5

Company rating: 8.5 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

104th of 304 rated insurance

Job description

Data Science Internship/Co-Op - Fall Starting September 2026 - Position is in-office, Boston MA

This position will be critical in advancing our mission to drive profit-focused technical excellence and innovation within the Plymouth Rock Group of Companies. The position will be responsible for research and development of new predictive models and new analytical techniques around insurance pure premiums, customer lifetime value, customer buying behaviors and other related topics utilizing internal and external data. This work will be used in setting pricing, underwriting and product strategies for the Plymouth Rock group of Companies. The analysis and modeling will be tested via implementation both broadly and on a pilot basis to allow us to learn and refine our approaches in rapid succession.

Essential Functions and Responsibilities:

Data Analysis:

The Data Science Intern/co-op will work with internal and external data to understand key drivers of expected insurance losses and lifetime customer value. This will require that the Intern acquires an understanding of various internal and external data sources, is able to illicit hypothesis from internal personnel regarding key variables and test those hypotheses using available data.

Modeling:

The Data Science Intern/co-op will help develop and enhance models used in a variety of contexts within the product management structure of Plymouth Rock. The Intern/Co-op will be responsible for advancing the modeling capabilities within Plymouth Rock and transferring those advancements to other product management personnel.

Implementation:

The Data Science Intern/co-op will work with the product community to facilitate the application of models developed considering the regulatory and competitive contexts within which we operate. This will include ensuring that models are well understood, the implications are appropriately assessed, implementation plans are defined, validation of results are undertaken, and adjustments are made rapidly.

Qualifications:

  • Graduate Student from a program (doctoral preferred) in the areas of economics, statistics, or a related field (background in Bayesian statistics preferred).
  • Practical experience in Econometrics and Statistics, preferably in a business context.
  • Strong written and oral communication skills and an ability to communicate technical concepts to both technical and non-technical audiences.
  • High standards for the work products delivered.
  • Creative thinker with the ability to synthesize information from various sources and apply that information to concrete business problems.
  • Flexibility and resiliency characteristic of a professional.
  • Knowledge of, and experience with, the technical aspect of insurance is a plus.
  • Proficiency with modeling programming language (SQL, R, SAS, Python).

Why work for us:

  • Friendly and collaborate work culture
  • Free On-site gym access
  • Free Coffee and Snacks
  • Company social events
  • Lunch and Learn Leadership program
  • Business Casual (Can wear jeans and sneakers!)
  • Convenient Location - across from South Station!

Pay Rate:The pay range for this position is $25-$30 per hour. Actual compensation will vary based on multiple factors, including employee knowledge and experience, role scope, business needs, geographical location, and internal equity.

About the Company:

The Plymouth Rock Company and its affiliated group of companies write and manage over $2 billion in personal and commercial auto and homeowner's insurance throughout the Northeast and mid-Atlantic, where we have built an unparalleled reputation for service. We continuously invest in technology, our employees thrive in our empowering environment, and our customers are among the most loyal in the industry. The Plymouth Rock group of companies employs more than 1,900 people and is headquartered in Boston, Massachusetts.Plymouth Rock Assurance Corporation holds an A.M. Best rating of "A-/Excellent".

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