1

Geospatial Data Science Intern Jobs in Indiana (NOW HIRING)

Sr. Data Scientist

Indianapolis, IN ยท On-site

$110.21 - $121.23/hr

Contribute to spatial data infrastructure and cloud-native geospatial workflows as needed WHAT YOU BRING * 3-6 years of experience in data science, GIS, or a related field * Strong proficiency in ...

Role Summary The data science (DS) internship at Crowe follows the firmwide calendar, approximately ... To that end, there are three major components with which an intern should expect to engage.

Role Summary The data science (DS) internship at Crowe follows the firmwide calendar, approximately ... To that end, there are three major components with which an intern should expect to engage.

Machine Learning Intern

South Bend, IN ยท On-site

$27 - $42/hr

Role Summary The data science (DS) internship at Crowe follows the firmwide calendar, approximately ... To that end, there are three major components with which an intern should expect to engage.

Machine Learning Intern

South Bend, IN ยท On-site

$27 - $42/hr

Role Summary The data science (DS) internship at Crowe follows the firmwide calendar, approximately ... To that end, there are three major components with which an intern should expect to engage.

As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... Large scale machine learning experience working with terabytes of data * Implemented custom ...

As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... Large scale machine learning experience working with terabytes of data * Implemented custom ...

As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... Large scale machine learning experience working with terabytes of data * Implemented custom ...

As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... Large scale machine learning experience working with terabytes of data * Implemented custom ...

next page

Showing results 1-20

Geospatial Data Science Intern information

What is a geospatial data science intern?

A Geospatial Data Science Intern helps analyze and interpret spatial data using GIS, statistical methods, and machine learning. They work with mapping tools, databases, and coding languages like Python or R to extract insights from geographic information. Interns may assist in data collection, visualization, and model development for applications in urban planning, environmental science, transportation, and more. This role provides hands-on experience with geospatial technologies and real-world problem-solving.

What types of projects or tasks can a geospatial data science intern expect to work on?

As a Geospatial Data Science Intern, you may assist with tasks such as cleaning, analyzing, and visualizing geospatial datasets, creating maps and spatial models, or developing scripts to automate data processing workflows. Interns often support research projects related to urban planning, environmental analysis, logistics, or public health, depending on the industry and team focus. You'll likely work closely with a mix of data scientists, GIS analysts, and subject matter experts, gaining exposure to real-world applications of spatial data. This hands-on project work can help build your portfolio and provide valuable experience that supports future career growth in geospatial science and analytics.

What are the key skills and qualifications needed to thrive as a geospatial data science intern?

To thrive as a Geospatial Data Science Intern, you need a background in data science, spatial analysis, and GIS concepts, ideally supported by coursework or a degree in geography, computer science, or a related field. Familiarity with tools such as ArcGIS, QGIS, Python, SQL, and data visualization platforms is commonly expected, while knowledge of remote sensing or geospatial databases is a plus. Problem-solving abilities, attention to detail, and strong communication skills help interns excel in collaborative, project-driven environments. These skills are crucial for effectively analyzing spatial data and successfully contributing to innovative geospatial solutions.

What are popular job titles related to Geospatial Data Science Intern jobs in Indiana?

For Geospatial Data Science Intern jobs in Indiana, the most frequently searched job titles are:

What job categories do people searching Geospatial Data Science Intern jobs in Indiana look for?

The top searched job categories for Geospatial Data Science Intern jobs in Indiana are:

What cities in Indiana are hiring for Geospatial Data Science Intern jobs?

Cities in Indiana with the most Geospatial Data Science Intern job openings:

Infographic showing various Geospatial Data Science Intern job openings in Indiana as of August 2026, with employment types broken down into 42% Internship, and 58% Full Time. Highlights an 49% In-person, and 51% Remote job distribution.

Sr. Data Scientist

Eightelevengroup

Indianapolis, IN โ€ข On-site

$110.21 - $121.23/hr

Other

Posted 17 days ago


Job description

Geospatial Data Scientist

Remote

This is a Remote role.

Compensation: $80 - $88 per hour

ABOUT THE ROLE

Our client is seeking a Geospatial Data Scientist to transform complex spatial data into actionable insights and support product and business decision-making. In this role, you will work across the full geospatial data pipelineโ€”from data ingestion and processing to analysis, modeling, and visualizationโ€”and collaborate closely with engineering and product teams to embed spatial intelligence into our platform. You will be responsible for developing and maintaining spatial data models, applying machine learning techniques to spatial problems, and creating compelling visualizations for diverse stakeholders. The ideal candidate thrives in a fully remote, asynchronous environment and brings a solid understanding of geospatial standards, coordinate reference systems, and data quality management.

WHAT YOU'LL DO
  • Design and execute geospatial analyses to support product and business decision-making
  • Build, validate, and maintain spatial data models and pipelines
  • Query and manage geospatial datasets using PostgreSQL with PostGIS
  • Work with geospatial data formats including GeoJSON, Shapefile, GeoTIFF, WKT, and WKB
  • Develop machine learning models with spatial components (clustering, classification, interpolation, etc.)
  • Create maps, dashboards, and visualizations to communicate findings to technical and non-technical stakeholders
  • Collaborate with backend engineers to integrate geospatial features into production systems
  • Evaluate and maintain geospatial data quality, coverage, and accuracy
  • Apply GIS tools (QGIS, ArcGIS, or equivalent) for spatial analysis and visualization
  • Ensure clear communication of geospatial insights in a remote, async environment
  • Maintain familiarity with geospatial standards, coordinate reference systems, and spatial indexing
  • Contribute to spatial data infrastructure and cloud-native geospatial workflows as needed
WHAT YOU BRING
  • 3โ€“6 years of experience in data science, GIS, or a related field
  • Strong proficiency in Python for geospatial data analysis and modeling (GeoPandas, Shapely, Fiona, Rasterio, or similar)
  • Deep experience with PostgreSQL and PostGIS for spatial querying and data management
  • Familiarity with geospatial standards and formats (GeoJSON, Shapefile, GeoTIFF, WMS/WFS, WKT, WKB, etc.)
  • Experience with GIS tools such as QGIS, ArcGIS, or equivalent
  • Solid understanding of coordinate reference systems (CRS), projections, and spatial indexing
  • Experience applying machine learning techniques to spatial problems
  • Ability to communicate findings clearly in a fully remote, async environment
  • Experience with remote sensing or satellite imagery analysis (nice to have)
  • Familiarity with cloud-native geospatial tools (PostGIS on AWS RDS, Google Earth Engine, etc.) (nice to have)
  • Exposure to spatial data infrastructure (GeoServer, MapServer, Mapbox, Deck.gl) (nice to have)
  • Experience with big geospatial data processing (Apache Sedona, H3, S2) (nice to have)
  • Knowledge of Docker and containerized data workflows (nice to have)
  • Familiarity with CI/CD and version control best practices (nice to have)
#J-18808-Ljbffr