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Internship Geospatial Data Scientist Jobs (NOW HIRING)

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 ...

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 ...

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

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 ...

Join our growing team supporting customer missions as a Senior Geospatial Data Scientist in Reston, VA and remote. Responsibilities * Identify corollary datasets to compare against model outputs ...

Join our growing team supporting customer missions as a Senior Geospatial Data Scientist in Reston, VA and remote. * Identify corollary datasets to compare against model outputs, especially those ...

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

Join our growing team supporting customer missions as a Senior Geospatial Data Scientist in Reston, VA and remote. Responsibilities * Identify corollary datasets to compare against model outputs ...

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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 May 29, 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 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 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 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 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

GRVTY

Mclean, VA

Other

Posted 16 days ago


Job description

What Impact You'll Have:

Our team integrates hundreds of data sources into a Geospatial Data Analysis platform used throughout the Intelligence Community. Their tool and dataset is widely-recognized as the leading platform for geospatial analysis, touching nearly every type of mission. Top government officials use analysis from this platform to make daily decisions that have global impact. The platform is constructed of 3rd party tools and custom applications, and new data sources are constantly being added. The customer is excellent to work with, and there is a healthy mix of customer-driven requirements and team-driven ideas / innovation: engineers typically have freedom in choosing how to do things and which technologies to utilize. Customer leadership also helps drive innovation and has created a close, collaborative idea exchange between staffers and contractors. Our Team Lead has said "this is simply the best group of people I've worked with". Despite this platform being widely used, there is a huge amount of brand new work adding new capabilities and data sources, as well as migrating more and more of the subsystems to AWS. There are recurring opportunities on this team for Analytic / BigData Software Developers, Full Stack Software Engineers, Web Application Developers, Java Developers, JavaScript Developers, Python Developers, Geospatial (GIS) Developers, ETL Developers, Data Scientists, Data Engineers, Data Analysts, AWS Engineers, DevOps Engineers, Cloud Migration Experts, and Geospatial Systems Engineers. Work on this program takes place in the McLean, VA area (we cannot support remote work) and requires a TS/SCI + Poly clearance (acceptable by this customer). 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 tools on a daily basis to establish automated ETL (Extract, Transform, Load) pipelines, implement geospatially focused analytics, and create data visualizations to be shared with a wide range of audiences. In addition to these core functions, the Data Scientist helps to ensure that the project's data architecture is scalable, maintains high data quality/integrity, and is streamlined to maximize performance.

What You'll Be Owning:

GRVTY is seeking a Geospatial Data Scientist with a TS/SCI + Poly clearance (applicable to this customer) to join one of our top projects in Mclean, VA

What You Must Have:

  • Active TS/SCI with Polygraph Clearance
  • Minimum 3 years of experience with a Bachelor's degree or 1 year of experience with a Master's degree
  • Python experience to automate data transformation and analysis of geospatial datasets
  • Experience working with PostgreSQL to extract data from RDBMS
  • Experience with AWS tools Linux experience
  • Experience with API Connections
  • Comfortable working with all types of geospatial datasets in thick client applications (e.g. ArcGIS) 

What Would Be Nice to Have:

  • Experience working with R, Tableau
  • Experience working with NiFi

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