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Internship Geospatial Data Scientist Jobs (NOW HIRING)

The role involves supporting the gathering of project requirements and implementing data-driven solutions as a Geospatial Data Scientist. Responsibilities : • Use Python scripting and AWS services ...

They are seeking an experienced Geospatial Data Scientist to support gathering project requirements and implementing data-driven solutions at a customer-site in McLean, VA. Responsibilities : • Use ...

THE ROLE The Geospatial Data Scientist is responsible for gathering project requirements from the customer and implementing data-driven solutions. They can expect to use Python, PostgreSQL, and AWS ...

Geospatial Data Scientist

Mclean, VA · On-site

$113K - $188K/yr

Apply geospatial data science techniques to identify patterns, trends, and mission-relevant insights * Create maps, visualizations, and analytic products for technical and non-technical audiences

... geospatial scientific principles, tools, and analytical techniques, to be reflected throughout most of the relevant prior experience. * Demonstrated experience and proficiency with data science ...

Geospatial Data Analyst

Charleston, SC · On-site

$78K - $92K/yr

Use a range of data visualization tools and data science techniques to support the translation of ... Experience processing geospatial data in the Cloud About Lynker Lynker is a growing, employee owned ...

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Internship Geospatial Data Scientist information

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$37.5K

$122.7K

$196.5K

How much do internship geospatial data scientist jobs pay per year?

As of Jul 12, 2026, the average yearly pay for internship geospatial data scientist in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What is an Internship Geospatial Data Scientist?

An Internship Geospatial Data Scientist is a student or recent graduate who assists in analyzing and interpreting geographic data using advanced computational and statistical methods. They work with spatial datasets, use GIS (Geographic Information Systems) software, and may help develop models to solve real-world problems involving locations and spatial relationships. This internship provides hands-on experience in data analysis, mapping, and programming, preparing individuals for a career in geospatial science or data analytics.

What types of projects can an Internship Geospatial Data Scientist expect to work on, and how do these contribute to the organization's goals?

As an Internship Geospatial Data Scientist, you can expect to work on projects involving spatial data analysis, map creation, and data visualization using tools like GIS software and Python or R. These projects often support decision-making in areas such as urban planning, environmental monitoring, or logistics optimization. Interns typically assist in cleaning and processing large spatial datasets, developing models, and presenting findings to team members. Your contributions help inform strategic initiatives and provide actionable insights, offering valuable experience and exposure to real-world geospatial challenges.

What are the key skills and qualifications needed to thrive as an Internship Geospatial Data Scientist, and why are they important?

To thrive as an Internship Geospatial Data Scientist, you need a solid understanding of GIS concepts, spatial analysis, and proficiency in programming languages like Python or R, often supported by coursework or a background in geography, computer science, or related fields. Familiarity with tools such as ArcGIS, QGIS, remote sensing platforms, and data visualization software is typically expected. Strong analytical thinking, attention to detail, and effective communication skills help you interpret spatial data and collaborate with interdisciplinary teams. These abilities are crucial for delivering actionable geospatial insights and supporting data-driven decision-making within organizations.

What is the difference between Internship Geospatial Data Scientist vs Geospatial Data Analyst?

AspectInternship Geospatial Data ScientistGeospatial Data Analyst
Required CredentialsEnrolled in or recent graduate of relevant degree (e.g., GIS, Data Science)Similar educational background, often with additional certifications in GIS or analytics
Work EnvironmentInternship setting, often in tech, government, or environmental firmsFull-time or part-time roles in various industries like urban planning, environmental agencies
Employer & Industry UsageUsed by organizations seeking entry-level talent for geospatial projectsCommon in industries requiring spatial data analysis for decision-making

The Internship Geospatial Data Scientist is an entry-level role focused on learning and supporting geospatial data projects, often within a structured internship program. In contrast, a Geospatial Data Analyst is a more established position involving ongoing data analysis, reporting, and decision support. Both roles require similar educational backgrounds, but the internship is temporary and geared toward gaining experience, while the analyst role is typically permanent and more autonomous.

What cities are hiring for Internship Geospatial Data Scientist jobs? Cities with the most Internship Geospatial Data Scientist job openings:
What are the most commonly searched types of Geospatial Data Scientist jobs? The most popular types of Geospatial Data Scientist jobs are:
What states have the most Internship Geospatial Data Scientist jobs? States with the most job openings for Internship Geospatial Data Scientist jobs include:

Geospatial Data Scientist

Vantor

Mclean, VA • On-site

Full-time

Posted 5 days ago


Job description

Job Summary:
Vantor is forging the new frontier of spatial intelligence, helping decision makers and operators navigate what’s happening now and shape what’s coming next. The role involves supporting the gathering of project requirements and implementing data-driven solutions as a Geospatial Data Scientist.
Responsibilities:
• Use Python scripting and AWS services to automate geospatial data ingestion, transformation, and analysis
• Apply geospatial data science techniques to identify patterns, trends, and mission-relevant insights
• Create maps, visualizations, and analytic products for technical and non-technical audiences
• Maintain high-quality, repeatable data workflows, ensuring data integrity, documentation, and performance
Qualifications:
Required:
• Bachelor’s degree with 3+ years of relevant experience, or Master’s degree with 1+ year of relevant experience
• Strong experience using Python for geospatial data transformation, automation, and analysis
• Strong experience working with geospatial data in thick-client GIS software (e.g., ArcGIS)
• Experience with PostgreSQL/PostGIS, AWS services, and Linux-based environments
• U.S. citizenship and Active TS/SCI with required polygraph
• Willingness to work on-site full time
Preferred:
• Experience working with Python notebooks (e.g., Jupyter) for exploratory and reproducible analysis
• Experience integrating and consuming data via REST APIs
• Experience with R, Tableau, or similar analytical and visualization tools
• Experience with Apache NiFi or comparable data workflow/orchestration tools
• Familiarity with Git for versioning scripts and analytic artifacts
Company:
A spatial intelligence firm. Founded in 2025, the company is headquartered in Denver, USA, with a team of 1001-5000 employees. The company is currently Late Stage.