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Intern Geospatial Data Scientist Jobs in Florida

At least four recent years working with GIS and geospatial data science. * Advanced degree in Data Science, GIS, Computer Science, or related discipline. * Strong experience designing scalable ...

Data Scientist

Cape Canaveral, FL · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Process and analyze large-scale geospatial datasets * Create data visualization and reporting ... Master's degree in Data Science, Computer Science, Statistics, Mathematics, or related field * 5+ ...

Data Scientist

Cape Canaveral, FL

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Process and analyze large-scale geospatial datasets * Create data visualization and reporting ... Master's degree in Data Science, Computer Science, Statistics, Mathematics, or related field * 5+ ...

The Senior Data Scientist - Geospatial serves as a technical leader responsible for designing and delivering advanced analytical and modeling solutions using geospatial data. This role leads complex ...

Sr. Data Scientist

Juno Beach, FL · On-site

$120 - $190/hr

The Senior Data Scientist - Geospatial serves as a technical leader responsible for designing and delivering advanced analytical and modeling solutions using geospatial data. This role leads complex ...

Senior Data Scientist

Doral, FL · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

Personnel must also have experience working with geospatial datasets and integrating AI/ML solutions into mission-critical applications. Education: * A Master's degree in Data Science, Machine ...

Support geospatial data collection, curation, and analysis, ensuring research outputs align with ... Bachelor's degree in Geography, Geospatial Science, GIS, Remote Sensing, Environmental Science ...

Support geospatial data collection, curation, and analysis, ensuring research outputs align with ... Bachelor's degree in Geography, Geospatial Science, GIS, Remote Sensing, Environmental Science ...

Support geospatial data collection, curation, and analysis, ensuring research outputs align with ... Bachelor's degree in Geography, Geospatial Science, GIS, Remote Sensing, Environmental Science ...

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Showing results 1-20

Intern Geospatial Data Scientist information

What is the difference between Intern Geospatial Data Scientist vs Intern GIS Analyst?

AspectIntern Geospatial Data ScientistIntern GIS Analyst
Required CredentialsBasic coursework in data science, GIS, or related fields; some programming experienceStudying GIS, geography, or related fields; familiarity with GIS software
Work EnvironmentData analysis, modeling, and programming tasks in a tech or research settingMapping, data management, and spatial analysis in government or environmental agencies
Industry UsageTech companies, research institutions, environmental firmsGovernment agencies, urban planning, environmental organizations

Intern Geospatial Data Scientists focus on analyzing spatial data using programming and statistical methods, while Intern GIS Analysts primarily handle mapping and spatial data management. Both roles provide valuable experience in geospatial fields but differ in technical depth and focus areas.

How much does an intern geospatial data scientist make?

Intern geospatial data scientists typically earn between $15 and $25 per hour, depending on location, company, and level of experience. Compensation may also include benefits such as mentorship and training in GIS tools and programming languages like Python or R.

How to get a geospatial data scientist internship?

To secure a geospatial data scientist internship, candidates should have a strong foundation in geospatial analysis, programming skills in Python or R, and experience with GIS tools like ArcGIS or QGIS. Building a portfolio of relevant projects, obtaining certifications such as GISP or Esri Technical Certification, and applying through company career portals or internship programs can improve chances. Internships often require a related degree and good analytical skills.

What are the most commonly searched types of Geospatial Data Scientist jobs in Florida?

The most popular types of Geospatial Data Scientist jobs in Florida are:

What job categories do people searching Intern Geospatial Data Scientist jobs in Florida look for?

The top searched job categories for Intern Geospatial Data Scientist jobs in Florida are:

Infographic showing various Intern Geospatial Data Scientist job openings in Florida as of July 2026, with employment types broken down into 1% As Needed, 86% Full Time, 10% Part Time, 1% Temporary, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution.

Sr. Data Scientist- Geospatial

Egnite HR LLC

Juno Beach, FL • On-site

Other

Posted 7 days ago


Job description

The Senior Data Scientist – Geospatial serves as a technical leader responsible for designing and delivering advanced analytical and modeling solutions using geospatial data. This role leads complex spatial analytics efforts, mentors less‑experienced data scientists, and collaborates with GIS teams and business leaders to translate geospatial data into actionable insights. The position requires deep expertise in data science techniques and hands‑on experience with spatial analytics at scale

This position leads the design and development of scalable GIS tools, analytical applications, spatial data products, and reusable geoprocessing capabilities that support complex business and operational needs.

Responsibilities include establishing technical standards and development frameworks; guiding the architecture of enterprise geospatial solutions; developing and overseeing spatial data pipelines, APIs, and automation workflows; and integrating GIS capabilities with cloud platforms, enterprise data systems, and AI services.

Candidates should hold an advanced degree, with at least 6-8 years of experience in data science and a preference for data science in GIS during the last 4 years.

Extensive experience developing production-grade analytical tools and applications, and a strong track record of delivering enterprise-level business impact.

Preferred qualifications include significant experience developing GIS tools and applications using Esri technologies such as ArcGIS Pro, ArcGIS Enterprise, ArcGIS Online, ArcPy, the ArcGIS API for Python, ArcGIS REST APIs, and ArcGIS Maps SDKs.

Experience developing custom geoprocessing tools, Python toolboxes, web-based mapping applications, dashboards, widgets, extensions, and automated spatial analysis workflows is highly valued.