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Summer Geospatial Data Science Intern Jobs in Racine, WI

Hydrite

EHS Intern (Summer 2027)

Milwaukee, WI · On-site

$16.75 - $21.25/hr

Potential for full-time opportunities upon graduation JOIN A TOP WORKPLACE - EHS Intern - Summer ... Actively pursuing a bachelor's degree in Engineering, Industrial Safety, EHS, or Natural Sciences ...

Hydrite

EHS Intern (Summer 2027)

Milwaukee, WI · On-site

$16.75 - $21.25/hr

Potential for full-time opportunities upon graduation JOIN A TOP WORKPLACE - EHS Intern - Summer ... Actively pursuing a bachelor's degree in Engineering, Industrial Safety, EHS, or Natural Sciences ...

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All JobsSummer Geospatial Data Science Intern JobsSummer Geospatial Data Science Intern Jobs in Racine, WI

Summer Geospatial Data Science Intern information

See Racine, WI salary details

$11

$21

$39

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

As of Sep 15, 2026, the average hourly pay for summer geospatial data science intern in Racine, WI is $21.10, according to ZipRecruiter salary data. Most workers in this role earn between $16.25 and $22.98 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.

What job categories do people searching Summer Geospatial Data Science Intern jobs in Racine, WI look for?

The top searched job categories for Summer Geospatial Data Science Intern jobs in Racine, WI are:

What cities near Racine, WI are hiring for Summer Geospatial Data Science Intern jobs?

Cities near Racine, WI 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 Racine, WI as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 15% Part Time, 2% Contract, and 3% Nights. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $43,892 per year, or $21.1 per hour.

Research Scientist Intern (2025)

Kenosha, WI

Whiterabbit.ai
Software Development • 51 - 200 employees
Learn more about Whiterabbit.aiexternal

Full-time

Re-posted 25 days 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