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Intern Geospatial Data Scientist Jobs in Florida

TEKsystems c/o Allegis Group

Data Scientist

Juno Beach, FL · On-site

$70 - $90/hr

Geospatial/GIS Specialist with a data science background (must have strong background in Geospatial and ESRI tools/platform for creation of products; ARC GIS Enterprise *Best candidates will have ...

New

kgs

Data Scientist

Cape Canaveral, FL

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+ ...

kgs

Data Scientist

Cape Canaveral, FL

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+ ...

Prescient Edge

Senior Data Scientist

Doral, FL · On-site

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 ...

SOSi

Mid-Level Geospatial Research Analyst

Doral, FL · On-site

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

SOSi

Mid-Level Geospatial Research Analyst

Doral, FL · On-site

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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All JobsIntern Geospatial Data Scientist JobsIntern Geospatial Data Scientist Jobs in Florida

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 are popular job titles related to Intern Geospatial Data Scientist jobs in Florida?

For Intern Geospatial Data Scientist jobs in Florida, the most frequently searched job titles 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:

Intern Geospatial Data Scientist jobs near you
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.

Senior Geospatial Data Scientist/Geospatial AI/ML Scientist

VDart, Inc.

Juno Beach, FL • On-site

Other

Posted 4 days ago

Job description

The Senior Data Scientist Geospatial is a technical leader responsible for designing, developing, and delivering advanced data science, spatial analytics, and machine learning solutions using geospatial data. This role leads complex analytics initiatives, develops scalable analytical applications and spatial data products, establishes technical standards, and mentors junior data scientists and technical team members.

The position partners closely with GIS teams, business stakeholders, and technology leaders to translate complex geospatial and business challenges into scalable, production-ready solutions that deliver measurable business impact.

Key Responsibilities
  • Lead end-to-end data science and geospatial analytics initiatives, from problem definition and data exploration through model development, deployment, and monitoring.
  • Design and develop predictive, prescriptive, and spatial analytics models using large-scale geospatial and enterprise datasets.
  • Architect and deliver scalable GIS tools, analytical applications, spatial data products, and reusable geoprocessing capabilities.
  • Establish technical standards, development frameworks, coding practices, and architectural patterns for enterprise geospatial solutions.
  • Design and oversee spatial data pipelines, APIs, automation workflows, and geoprocessing frameworks.
  • Develop production-grade analytical tools and applications using Python and modern data science technologies.
  • Integrate GIS capabilities with cloud platforms, enterprise data systems, APIs, and AI/ML services.
  • Engineer and optimize features, analytical workflows, and machine learning models for performance, scalability, and reliability.
  • Implement model validation, testing, monitoring, and governance frameworks.
  • Develop automated spatial analysis workflows and reusable geoprocessing components.
  • Collaborate with GIS professionals, data engineers, software engineers, and business leaders to deliver enterprise-level solutions.
  • Translate complex analytical and geospatial findings into clear, actionable recommendations for technical and non-technical stakeholders.
  • Provide technical leadership and mentorship to junior and mid-level data scientists.
  • Evaluate emerging GIS, AI, ML, and data science technologies and recommend solutions aligned with business objectives.
  • Apply strong business acumen and independent problem-solving skills to address complex analytical challenges.
Required Qualifications
  • Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Geography, GIS, Engineering, or another quantitative discipline; advanced degree preferred.
  • 6 10 years of professional experience in data science, analytics, machine learning, or a closely related field.
  • 6 8+ years of relevant experience for senior-level geospatial data science responsibilities.
  • Strong recent experience applying data science techniques to GIS/geospatial problems, preferably within the last 4 years.
  • Strong proficiency in Python or R, with demonstrated experience developing production-ready analytical workflows.
  • Advanced SQL skills and experience working with large-scale datasets.
  • Strong knowledge of statistical inference, machine learning, experimentation design, and predictive modeling.
  • Hands-on experience developing and deploying production-grade models, analytical applications, or data products.
  • Extensive experience with spatial analytics and geospatial data at scale.
  • Strong experience developing enterprise-grade GIS tools, applications, pipelines, and automation workflows.
  • Demonstrated ability to independently lead complex technical initiatives from concept through production.

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