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Summer Geospatial Data Science Intern Jobs in Utah

Whiterabbit.ai

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 ...

ProSidian Consulting

Geospatial Analyst I

Salt Lake City, UT · Remote

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Demonstrated ability to process, analyze, and model data in geospatial software (e.g., ERDAS Imagine and Esri ArcGIS Pro). Experience in earth sciences and knowledge of airborne/satellite imagery.

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All JobsSummer Geospatial Data Science Intern JobsSummer Geospatial Data Science Intern Jobs in Utah

Summer Geospatial Data Science Intern information

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

Summer Geospatial Data Science Intern jobs near you
Infographic showing various Summer Geospatial Data Science Intern job openings in Utah as of June 2026, with employment types broken down into 2% Internship, 3% As Needed, 67% Full Time, 9% Part Time, 3% Temporary, and 16% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.

Research Scientist Intern (2025)

Whiterabbit.ai

Internship

Re-posted 17 hours ago

Job description

We are looking for a Research Scientist Intern to push the state of the art of our AI models. As a Research Scientist Intern at Whiterabbit.ai, you will:

  • Play a key role in architecting the algorithms and models that will power our products
  • Train on a dedicated high-performance compute cluster specialized for deep learning research
  • Work with doctors and healthcare professionals to identify serious problems and leverage their domain expertise to build robust solutions
  • Remain an active contributor to the research community by partnering with universities and publishing high impact papers

Who we are:

Our mission at Whiterabbit.ai is to save lives and eliminate suffering through the early detection of cancer with artificial intelligence. We collaborate closely with one of the top medical schools in the country and have exclusive access to one of the world’s largest cancer datasets with millions of images. We invent algorithms that make doctors more productive, more accurate, and more capable. We build products and services with a relentless focus on transforming the patient’s healthcare experience.

Responsibilities

  • Develop highly scalable classifiers and detectors that solve real-world problems
  • Learn and understand a large body of research in deep learning and machine learning
  • Participate in cutting-edge research for medical applications of computer vision

Must Have Experience

  • Experience with deep learning and convolutional networks
  • Strong theoretical and empirical research background
  • Fluency with a deep learning framework and Python

Nice to Have Experience

  • Contributions to research communities and efforts, such as publications at conferences like CVPR, NeurIPS, ICCV, ECCV, ICML, and ICLR
  • Large scale machine learning experience working with terabytes of data
  • Implemented custom operations/modules in a deep learning framework
  • Imagination, ambition, and curiosity

Apply