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Internship Geospatial Data Scientist Jobs (NOW HIRING)

Core One

Geospatial Data Scientist (Expert)

Gordon, GA · On-site

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

B&A

Geospatial Data Analyst

Mclean, VA

$75K - $82K/yr

Education and Experience Bachelor's degree in Geography, Geographic Information Systems, Geospatial Science, Data Science, Computer Science, Information Systems, or a related technical field is ...

Bart & Associates

Geospatial Data Analyst

Mclean, VA · On-site

$75K - $82K/yr

Education and Experience · Bachelor's degree in Geography, Geographic Information Systems, Geospatial Science, Data Science, Computer Science, Information Systems, or a related technical field is ...

Eightelevengroup

Sr. Data Scientist

Indianapolis, IN · On-site

$80 - $88/hr

Geospatial Data Scientist Remote This is a Remote role. Compensation: $80 - $88 per hour ABOUT THE ROLE Our client is seeking a Geospatial Data Scientist to transform complex spatial data into ...

BAE Systems

Data Scientist Prin

Augusta, GA · On-site

The Geospatial Data Scientist will be expected to lead efforts such as, but not limited to: * design, implementation, and operate data driven approaches to client's intelligence requirements ...

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+ ...

Koniag, Inc.

Data Scientist

Stennis Space Center, MS · On-site

$140K - $150K/yr

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+ ...

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Internship Geospatial Data Scientist information

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

As of Sep 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.

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Internship Geospatial Data Scientist jobs near you

Senior Geospatial Data Scientist

Washington, DC • On-site

SynMax, Inc.
Guided Missile and Space Vehicle Manufacturing • 11 - 50 employees
Learn more about SynMax, Inc.external

Other

Posted 8 days ago

Job description

Senior Geospatial Data Scientist

SynMax, Inc. Washington, District of Columbia, United States

About this position

About SynMax, Inc.

SynMax is a geospatial intelligence company. We fuse multi-sensor satellite imagery with signals, vessel-tracking and proprietary machine learning models, and apply trained analysts to produce finished intelligence on activity in low-transparency environments across the maritime and energy domains.

Our product suite: Theia, Hyperion, Vulcan and Leviaton - is used by commercial energy traders, financial institutions, government agencies, and defense and intelligence organizations.

Founded in 2021, we are around 130 people across Houston, London and Washington, D.C.

About the role

The Senior Geospatial Data Scientist sits within Theia's data science team, working on the models and pipelines that turn satellite imagery and vessel-tracking data into a verified picture of activity. Day to day, that means fusing optical and SAR imagery with AIS and other data sources and building the detection and prediction models behind capabilities like dark vessel detection, AIS spoofing, ship‑to‑ship transfers, and vessel attribution. You'll take work from prototype through to production on GCP alongside engineering, and you'll be expected to explain your reasoning clearly.

What you'll do
  • Develop and improve geospatial models and pipelines that fuse AIS data with optical and SAR satellite imagery to detect vessel behavior, anomalies, and deceptive activity at sea.
  • Apply computer vision techniques to satellite imagery for vessel detection, classification, and attribution.
  • Work with large-scale geospatial and time‑series datasets (AIS tracks, imagery, vessel metadata) to build and validate detection and prediction models.
  • Take models from prototype through to production, working with engineering to deploy on GCP.
  • Investigate new data sources and methods to close gaps in maritime domain awareness.
  • Communicate findings and model behavior clearly to both technical and non‑technical stakeholders, including customers.
  • Collaborate closely with the wider Theia data science and engineering teams on shared infrastructure, data pipelines, and tooling.
What We're Looking For
  • What We're Looking For
  • Strong geospatial data science background, with demonstrated experience working with spatial data, coordinate systems, and geospatial analysis techniques.
  • Experience working with earth observation data, e.g. electro‑optical or synthetic aperture radar (SAR).
  • Some computer vision experience (e.g., object detection/classification applied to imagery).
  • Strong Python skills and practical experience with the machine learning lifecycle: predictive modeling, classification, evaluation, and iteration.
  • Comfortable working independently, thinking through ambiguous problems, and explaining your reasoning and approach to others.
Nice to Have
  • Experience working with AIS (vessel‑tracking) data - desirable, but not a deal‑breaker if the rest of your background is strong.
  • Familiarity with GCP (BigQuery, Vertex AI) or equivalent cloud data platforms.
  • Experience with geospatial tooling and libraries (e.g., QGIS, GDAL, GeoPandas).
  • Experience with PyTorch, scikit‑learn, or similar ML frameworks.
  • Background in maritime, defense, intelligence, or energy domains.
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About SynMax

Sourced by ZipRecruiter

Industry

Guided missile and space vehicle manufacturing

Company size

11 - 50 Employees

Headquarters location

Houston, TX, US

Year founded

2021

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