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Summer Geospatial Data Science Intern Jobs (NOW HIRING)

Evolver

Applied Data Science Intern

Palo Alto, CA

Applied Data Science Summer Internship About Us: Evolver is a rapidly growing enterprise AI company building advanced solutions for Fortune 500 organizations across finance, tax, risk, and audit. In ...

SkyNano

Computer Science Intern

Knoxville, TN · On-site

Job Title: Computer Science Intern Location: Knoxville, TN | Full-Time, Summer 2026 Company ... Contribute to UI improvements for usability and reproducibility in scientific data workflows.

Evolver

Applied Data Science Intern

Palo Alto, CA · On-site

Applied Data Science Summer Internship About Us: Evolver is a rapidly growing enterprise AI company building advanced solutions for Fortune 500 organizations across finance, tax, risk, and audit. In ...

SkyNano

Computer Science Intern

Knoxville, TN

Job Title: Computer Science Intern Location: Knoxville, TN | Full-Time, Summer 2026 Company ... Contribute to UI improvements for usability and reproducibility in scientific data workflows.

Core One

Geospatial Data Scientist (Expert)

Gordon, GA · On-site

Demonstrated experience and proficiency with data science techniques including (but not limited to ... Knowledge of the National System for Geospatial-Intelligence (NSG) tasking, collection, processing ...

Maxar

Senior Geospatial Data Engineer

Mclean, VA

$107K - $145K/yr

Bachelor's degree in Geography, GIS, Computer Science, Data Science, Engineering, or a related technical discipline. * 12+ years of professional experience in geospatial technology, software ...

Cresta

Data Science Intern (Customer Success)

We are looking for a motivated Data Science Intern to join our team. This role offers hands-on experience working with real-world data, building models, and supporting data-driven decision-making.

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Summer Geospatial Data Science Intern information

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How much do summer geospatial data science intern jobs pay per hour?

As of Jul 27, 2026, the average hourly pay for summer geospatial 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 Summer Geospatial Data Science Intern vs Summer GIS Intern?

AspectSummer Geospatial Data Science InternSummer GIS Intern
Required CredentialsRelevant coursework in data science, GIS, or related fields; basic programming skillsGIS certifications or coursework; GIS software proficiency
Work EnvironmentData analysis, modeling, programming, and spatial data processingMapping, spatial data management, and GIS software application
Employer & Industry UsageTech companies, environmental agencies, research institutionsGovernment agencies, urban planning firms, environmental organizations

The Summer Geospatial Data Science Intern role focuses on analyzing spatial data using data science techniques and programming, while the Summer GIS Intern emphasizes mapping and managing spatial data with GIS software. Both positions require familiarity with GIS concepts, but the data science internship leans more toward programming and data analysis, whereas the GIS internship centers on mapping and spatial data management.

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What cities are hiring for Summer Geospatial Data Science Intern jobs? Cities with the most Summer Geospatial Data Science Intern job openings:
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Summer Geospatial Data Science Intern jobs near you
Infographic showing various Summer Geospatial Data Science Intern job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 80% Full Time, 10% Part Time, and 9% Contract. Highlights an 81% Physical, 3% Hybrid, and 16% Remote job distribution, with an average salary of $46,809 per year, or $22.5 per hour.
WBG Pioneer - Geospatial Data Analysis Intern

WBG Pioneer - Geospatial Data Analysis Intern

The World Bank Group

Washington, DC

Other

Posted 14 days ago

Job description

The Trade Policy and Facilitation Unit is developing a quantitative spatial model to assess the spatial economic impacts of logistics infrastructure, logistics and trade facilitation policies, and trade policies at the national and regional levels. Building on a cities spatial model developed jointly by the International Growth Centre (IGC) and the World Bank, the unit intends to extend this framework beyond the city level and to develop it in partnership with the Development Economics (DEC) group, the Transport global practice, and external partners. The model is intended to complement the unit's existing computable general equilibrium (CGE) analysis. 

This work also builds on a long tradition of World Bank analysis of the sub-national geography of trade, including work on lagging regions and their connection to global markets, and seeks to capture the substantial methodological and data advances that have emerged since. Robust spatial analysis of this kind depends critically on the assembly, cleaning, and structuring of high-quality geospatial data used to parameterize and run the model. 

The intern will support this effort within the Trade Policy and Facilitation Unit, contributing to the compilation and preparation of geospatial datasets and to the operation of the quantitative spatial model, under the supervision of the project team. 

Duties and Responsibilities 

Under the guidance of the project lead, the intern will: 

Compile, clean, and structure the geospatial data required to parameterize and run the quantitative spatial ("cities") model, extending it from the city level to the national and regional levels. 

Assemble and process key spatial inputs - including road and transport networks, population grids, terrain data, port and trade-node locations (e.g., PortWatch), and travel-time layers - into model-ready formats. 

Run the spatial model with the prepared data to assess the spatial economic impacts of logistics infrastructure, trade facilitation measures, and trade policies, in coordination with DEC, Transport, and external partners. 

Construct population-weighted accessibility and remoteness indicators to key trade nodes and correlate them with granular socio-economic data. 

Produce maps, interactive dashboards, and other visual outputs to support diagnostics, model validation, and dissemination. 

Contribute to note writing, presentations, and other analytical and dissemination products, and document data sources, methods, and code for reproducibility. 

Apply