Geospatial Analytics & Mapping Intern (US-Based Applicants ONLY)

Mercy Corps

10d•$1,604•Remote

About The Position

Mercy Corps (rebranding as Prosper Global in September 2026) is a leading global organization powered by the belief that a better world is possible. In disaster, in hardship, in more than 30 countries around the world, we partner to put bold solutions into action — helping people triumph over adversity and build stronger communities from within. The field of GIS, Earth Observation and Artificial Intelligence is growing rapidly within the humanitarian community. In light of these developments, Mercy Corps / Prosper Global is working to enhance its geospatial operations, support and products, ensuring that we have the correct tools, data and structures in place to harness these powerful technologies to meet the immediate needs of programs and teams in carrying out their humanitarian and development work. The intern will learn about and contribute to applied GIS and Remote Sensing for humanitarian contexts including the specific needs of Mercy Corps teams and programs, the use cases for analysis and mapping and the core data and analytical needs for operational success. The intern will have the opportunity to learn and employ skills productionizing workflows in a cloud environment, developing AI-supported geospatial workflows, using cloud and desktop geospatial tools, and supporting internal capacity building at an international humanitarian organization.

Requirements

University degree in progress or recently completed (within 1 year) in relevant discipline (GIS, Geography, Remote Sensing/Earth Observation, Geoinformatics, Data Science, Computer Science, Engineering, and related fields).
APPLICANTS FOR THIS INTERNSHIP MUST BE BASED IN THE UNITED STATES.
Educational experience with geospatial analysis using GIS software such as QGIS or ArcGIS (ArcGIS Online is a plus – Experience Builders, Story Maps, etc.)
Some practice with geospatial programming in Python and/or Google Earth Engine
Familiarity with AI tools like Claude and ChatGPT especially for use with geospatial workflows
Familiarity and/or experience with geospatial data formats, projections, transformations, and structures
Ability to effectively communicate complex technical topics to a non-technical audience

Nice To Haves

If you have one, we would love to see a link to your online portfolio or GitHub on your resume. If you do not, please include a few examples of maps (static or dynamic) or other geospatial applications that you have created or contributed to with your application.
Cloud development (AWS, Azure)
Full Stack Development
Training materials / curriculum development
Interest/experience in working in a multi-cultural and decentralized office environment
A strong desire to learn new skills and apply them
Comfort with ambiguity, and personally motivated
Creative, critical thinking and attention to detail

Responsibilities

Work with the T4D data science team to roll out a pilot of ArcGIS Enterprise with a few pilot countries at the organization. Activities under this workstream will include organizing and setting up the instance with the Director of Data Science and IT leads, organizing and populating data, and compiling / developing / publishing training and guidance materials.
Support the organization’s Ebola response efforts – developing maps, visualizations and analysis to inform and support the response team.
Support with ad-hoc analyses and map products as needed by T4D, other HQ teams and country teams. This may be analysis using desktop software (e.g. QGIS, ArcGIS) or programmatic workflows (Python, Google Earth Engine, etc).
Sourcing, cleaning and preparing data for analysis
Calculating, mapping, and interpreting remote sensing indices to support country team program design and adaptation
Supporting on the implementation of geospatial foundational models in a program use case
Developing AI enabled workflows to automate periodic geospatial analysis and maps
Supporting teams with making maps for reports or monitoring
Researching and reporting or developing training tools on new geospatial tools, resources, and data sources
Contributing to an inventory of geospatial tools, data and analysis across the organization
Productionizing geospatial analyses using cloud platforms