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Environmental Data Science Intern Jobs in Seattle, WA

Docugami

Data Science PhD Intern

Kirkland, WA · On-site

We're now looking for AI, NLP, Machine Learning, Data Science, and Math PhD Interns to work ... Researching and proposing solutions to the different science problems in an evolving environment

Docugami

Data Science PhD Intern

Kirkland, WA

We're now looking for AI, NLP, Machine Learning, Data Science, and Math PhD Interns to work ... Researching and proposing solutions to the different science problems in an evolving environment

WSP

Environmental Data Analytics Specialist

Redmond, WA · On-site

$75K - $87K/yr

Bachelor's Degree in Environmental Science, Geology, Chemistry, Natural Resources Management ... Experience with laboratory analytical data packages and electronic data reports * Experience using ...

WSP

Environmental Data Analytics Specialist

Redmond, WA · On-site

$75K - $87K/yr

Bachelor's Degree in Environmental Science, Geology, Chemistry, Natural Resources Management ... Experience with laboratory analytical data packages and electronic data reports * Experience using ...

MCG Health

Director, Data Science

Seattle, WA

$201K - $281K/yr

The Director, Data Science provides strategic and operational leadership for MCG's Data Science ... Experience developing AI solutions in cloud environments such as AWS, Azure, or Google Cloud ...

Honor

Senior Manager, Data Science

Seattle, WA

... operating environment. Honor combines technology, operations, and the local expertise of our ... Help shape the Data Science and Applied AI roadmap, identifying where predictive modeling ...

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All JobsEnvironmental Data Science Intern JobsEnvironmental Data Science Intern Jobs in Seattle, WA

Environmental Data Science Intern information

See Seattle, WA salary details

$13

$25

$47

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

As of Aug 2, 2026, the average hourly pay for environmental data science intern in Seattle, WA is $25.61, according to ZipRecruiter salary data. Most workers in this role earn between $19.71 and $27.88 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 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 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 Seattle, WA? For Environmental Data Science Intern jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Environmental Data Science Intern jobs in Seattle, WA look for? The top searched job categories for Environmental Data Science Intern jobs in Seattle, WA are:
What cities near Seattle, WA are hiring for Environmental Data Science Intern jobs? Cities near Seattle, WA 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 Seattle, WA as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, 1% Temporary, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $53,270 per year, or $25.6 per hour.

Data Science PhD Intern

Docugami

Kirkland, WA • On-site

Internship

Re-posted 19 days ago

Job description

Docugami uses powerful artificial intelligence to unlock the information contained in highly varied, unstructured business documents. Business users, without IT or development projects, can immediately create custom analysis of vital document content and information from large batches of contracts, can assist users in creating new documents more efficiently and consistently, and can automatically connect information from within documents to other business systems.
Docugami started with years of R&D, and has received a $10M seed round of VC funding as well as multiple endorsements from industry leaders and publications. The founders are seasoned ex-Microsoft engineers and leaders, some already well known in the software industry for their record of building and running $1B+ innovative software product businesses.
We're now looking for AI, NLP, Machine Learning, Data Science, and Math PhD Interns to work alongside our world-renowned science and engineering team to create a revolutionary product. We are looking for exceptional researchers to work with our luminary science advisers on major scientific breakthroughs.
You will love this job if:
  • You love solving really challenging problems
  • You seek opportunities to see your research deployed in practice to solve real world problems
  • You enjoy working at the very cutting edge of R&D
  • You want to experience an early stage startup

What you'll be responsible for:
  • Researching and proposing solutions to the different science problems in an evolving environment
  • Collaborating with engineering and product leadership to prioritize a long-term roadmap of science breakthroughs
  • Working with the engineering team who will be responsible for integrating and deploying your work in production
  • Conducting regular internal science reviews

What we look for in a candidate:
  • Pursuing a PhD in artificial intelligence, natural language processing, machine learning, data science, or math
  • Experience or strong interest in any of the following: natural language processing, machine translation, self-supervised learning, active learning, computer vision, statistics, causal inference, and other related disciplines
  • Programming skills and familiarity of modern ML frameworks
  • Strong problem-solving and time management skills
  • Strong communication skills and capacity to report and disseminate results
  • Passion for scientific and technical excellence

Perks:
  • Competitive pay
  • Healthy snacks stipend
  • Work closely with a cross-functional team of highly motivated folks with a unique range of startup, big enterprise, scientific, engineering, sales & marketing experience
  • Vibrant and inclusive company culture with frequent team-building events

About Us:
Docugami is a Seattle-area document engineering startup that transforms how businesses create and manage documents for greater productivity, compliance, and insight using breakthrough artificial intelligence. Founded in March 2018 by former senior engineering leaders from Microsoft, Docugami harnesses a wide range of artificial intelligence techniques, including natural language processing, image recognition, declarative markup, and other approaches, to enable businesses of all sizes to radically improve how they create and manage documents for greater insight, efficiency, and business impact.
Learn more at www.docugami.com
We welcome people of different backgrounds, experiences, abilities and perspectives and are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We are committed to an inclusive and diverse team.

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