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Environmental Data Science Intern Jobs in Champaign, IL

... data tables, understanding cause and effect relationships, and writing lab reports. Emphasizes hands-on investigation and critical thinking, connecting science to environmental awareness, health, and ...

... data, and understanding watershed dynamics. Emphasizes observational skills and evidence-based reasoning, connecting earth science to natural disaster preparedness, environmental conservation, and ...

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Environmental Data Science Intern information

See Champaign, IL salary details

$12

$22

$42

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

As of May 28, 2026, the average hourly pay for environmental data science intern in Champaign, IL is $22.54, according to ZipRecruiter salary data. Most workers in this role earn between $17.36 and $24.57 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.

What job categories do people searching Environmental Data Science Intern jobs in Champaign, IL look for? The top searched job categories for Environmental Data Science Intern jobs in Champaign, IL are:
What cities near Champaign, IL are hiring for Environmental Data Science Intern jobs? Cities near Champaign, IL with the most Environmental Data Science Intern job openings:
Infographic showing various Environmental Data Science Intern job openings in Champaign, IL as of May 2026, with employment types broken down into 37% Internship, 35% Full Time, and 28% Part Time. Highlights an 100% In-person job distribution, with an average salary of $46,878 per year, or $22.5 per hour.
Geospatial Statistician for Extreme Weather and Model Evaluation (Academic Hourly)

Geospatial Statistician for Extreme Weather and Model Evaluation (Academic Hourly)

University of Illinois

Urbana, IL • On-site

$20 - $25/hr

Part-time

PTO

Posted 6 days ago


Job description

APPLY NOW
Geospatial Statistician for Extreme Weather and Model Evaluation (Academic Hourly)
DPI Applied Rsrch and Dev - Urbana
Posting Category:
The DPI Climate Hub (https://www.climate-dpi.org) is seeking a highly motivated candidate with expertise in statistics, geospatial data analysis, environmental data science, atmospheric sciences, remote sensing, or a related field to support research and development for the AerisIQ weather forecasting system (https://aerisiq.io)The ideal candidate will contribute as an Extreme Weather and Geospatial Statistics Analyst, supporting the analysis of high-impact weather events and the evaluation of model performance against observational datasets. This role will focus on developing statistical and geospatial workflows to compare numerical weather model outputs with in-situ observations, radar, satellite, reanalysis, and other environmental datasets. The candidate will help translate model-observation insights into operational tools, performance metrics, and decision-support products.
DUTIES AND RESPONSIBILITIES
  • Conduct retrospective analyses of extreme weather events, including storms, high winds, heatwaves, extreme rainfall, and flooding.
  • Perform quantitative comparisons between simulated forecasts and observational datasets across space and time.
  • Develop statistical metrics and geospatial methods to evaluate model performance, bias, uncertainty, and event detection skill.
  • Process and analyze large-scale gridded and point-based environmental datasets, including NWP outputs, station observations, radar, satellite, and reanalysis products.
  • Support spatial matching, interpolation, aggregation, and validation workflows for model-observation comparison.
  • Collaborate with software engineers and domain experts to develop automated workflows for data ingestion, preprocessing, post-processing, visualization, and analysis.
  • Contribute to the development of operational evaluation tools and decision-support products for extreme weather applications.

QUALIFICATIONS
  • Background in statistics, geospatial data science, atmospheric sciences, environmental data science, remote sensing, engineering, or a related field.
  • Experience working with large-scale environmental, weather, climate, or geospatial datasets.
  • Strong programming skills in Python, R, MATLAB, or similar languages.
  • Familiarity with statistical modeling, spatial analysis, uncertainty analysis, or model evaluation methods.

KNOWLEDGE SKILLS AND ABILITIES
  • Experience working with gridded model outputs and point-based observational datasets.
  • Working knowledge of environmental and weather data sources, such as in-situ observations, radar, satellite products, reanalysis datasets, or numerical weather prediction model outputs.
  • Familiarity with geospatial data tools, packages, and formats, such as NetCDF, GeoTIFF, shapefiles, GeoJSON, xarray, rasterio, geopandas, ArcGIS, or QGIS.
  • Experience with spatial matching, interpolation, aggregation, bias correction, validation, or uncertainty quantification across model and observation datasets.
  • Understanding of atmospheric processes, weather systems, or extreme weather events.
  • Experience with automated workflows, data visualization, dashboards, or operational forecasting systems.

APPOINTMENT INFORMATION
This is a part-time Academic Hourly position. The expected start date is as soon as possible after the search posting closes. The hourly range for this position is $20-$25 per hour based on experience.
Click here for applicable information on the Affordable Care Act and Paid Leave For All Workers.
Sponsorship for Work Authorization is not available for this position.
APPLICATION PROCEDURE & DEADLINE INFORMATION
For full consideration, please click the APPLY NOW link on this page to submit an application on the university portal accepting applications for this system office position by 6 pm on 6/5/2026.
System Human Resource Services
(217) 333-2600
erhr@uillinois.edu
The University of Illinois System is an equal opportunity employer, including but not limited to disability and/or veteran status, and complies with all applicable state and federal employment mandates. Please visit Required Employment Notices and Posters to view our non-discrimination statement and find additional information about required background checks, sexual harassment/misconduct disclosures, and employment eligibility review through E-Verify.
Applicants with disabilities are encouraged to apply and may request a reasonable accommodation under the Americans with Disabilities Act (2008) to complete the application and/or interview process. Requests may be submitted by contacting the System Human Resource Services at 217-333-2600, or by emailing ADAaccessibility@uillinois.edu.
Requisition ID: req3006
Job Category: Extra Help
Campus Location: Chicago
APPLY NOW

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About University of Illinois

Sourced by ZipRecruiter

The University of Illinois, located in Urbana, Illinois, US, is a prominent entity in the higher education sector. Operating its official functions through its website uillinois.edu, the institution provides a range of educational programs and services. The University was founded in 1867 and has since grown dramatically both in size and reputation. Its core values are embodied in its mission to enhance the lives of its students and citizens in the state, nation, and world through leadership in learning, discovery, engagement, and economic development. The university boasts several notable achievements including producing Nobel laureates and Pulitzer prize winners. It is renowned for its research programs and is known for significant advancements across various fields including engineering, science, and humanities.

Industry

Colleges, universities, and professional schools

Company size

5,001 - 10,000 Employees

Headquarters location

Urbana, IL, US

Year founded

1974

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