1

Geospatial Data Science Intern Jobs (NOW HIRING)

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 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 ...

FORVIA is looking for a year-round Data Science Intern for its headquarters in Auburn Hills, Michigan. Your mission, roles and responsibilities * Assist in designing, building, and testing machine ...

We are looking for curious, analytical, and motivated students who are eager to learn about Data Science in a fast-paced technology environment. During the internship, you will support the Data team ...

We are looking for curious, analytical, and motivated students who are eager to learn about Data Science in a fast-paced technology environment. During the internship, you will support the Data team ...

Senior Geospatial Data Engineer

Mclean, VA · On-site

$116K - $139K/yr

... Science, Data Science, Engineering, or a related technical discipline. • 12+ years of ... geospatial technology, software development, data engineering, data analysis, or a related ...

Data Science Intern

Palo Alto, CA · On-site +1

$28.27 - $60/hr

A passion for applying mathematical models and computer science technology to data-driven decision-making, along with profound insights into the gaming industry. * Expertise in mathematical modeling ...

Data Science Internship - Fall 2026 Faire leverages machine learning and data insights to transform the wholesale industry, giving independent retailers the tools to compete with large-scale e ...

Demonstrated experience and proficiency with data science techniques including (but not limited to ... Knowledge of the National System for Geospatial-Intelligence (NSG) tasking, collection, processing ...

next page

Showing results 1-20

Geospatial Data Science Intern information

See salary details

$12

$22

$42

How much do geospatial data science intern jobs pay per hour?

As of Jul 12, 2026, the average hourly pay for geospatial data science intern in the United States is $22.50, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $24.52 per hour, depending on experience, location, and employer.

What types of projects or tasks can a Geospatial Data Science Intern expect to work on?

As a Geospatial Data Science Intern, you may assist with tasks such as cleaning, analyzing, and visualizing geospatial datasets, creating maps and spatial models, or developing scripts to automate data processing workflows. Interns often support research projects related to urban planning, environmental analysis, logistics, or public health, depending on the industry and team focus. You'll likely work closely with a mix of data scientists, GIS analysts, and subject matter experts, gaining exposure to real-world applications of spatial data. This hands-on project work can help build your portfolio and provide valuable experience that supports future career growth in geospatial science and analytics.

What is a Geospatial Data Science Intern job?

A Geospatial Data Science Intern helps analyze and interpret spatial data using GIS, statistical methods, and machine learning. They work with mapping tools, databases, and coding languages like Python or R to extract insights from geographic information. Interns may assist in data collection, visualization, and model development for applications in urban planning, environmental science, transportation, and more. This role provides hands-on experience with geospatial technologies and real-world problem-solving.

What are the key skills and qualifications needed to thrive in the Geospatial Data Science Intern position, and why are they important?

To thrive as a Geospatial Data Science Intern, you need a background in data science, spatial analysis, and GIS concepts, ideally supported by coursework or a degree in geography, computer science, or a related field. Familiarity with tools such as ArcGIS, QGIS, Python, SQL, and data visualization platforms is commonly expected, while knowledge of remote sensing or geospatial databases is a plus. Problem-solving abilities, attention to detail, and strong communication skills help interns excel in collaborative, project-driven environments. These skills are crucial for effectively analyzing spatial data and successfully contributing to innovative geospatial solutions.

More about Geospatial Data Science Intern jobs
What cities are hiring for Geospatial Data Science Intern jobs? Cities with the most Geospatial Data Science Intern job openings:
What states have the most Geospatial Data Science Intern jobs? States with the most job openings for Geospatial Data Science Intern jobs include:
Infographic showing various Geospatial Data Science Intern job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $46,809 per year, or $22.5 per hour.

Geospatial Data Scientist

Maxar

Mclean, VA

$113K - $188K/yr

Full-time

Retirement

Re-posted 5 days ago


Job description

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. Vantor is a place for problem solvers, changemakers, and go-getters-where people are working together to help our customers see the world differently, and in doing so, be seen differently. Come be part of a mission, not just a job, where you can: Shape your own future, build the next big thing, and change the world.

To be eligible for this position, you must be a U.S. Citizen. This position requires an active U.S. Government security clearance, applicants who do not currently hold the required clearance will not be eligible for consideration. Employment for cleared roles is contingent upon verification of clearance status.

Export Control/ITAR: Certain roles may be subject to U.S. export control laws, requiring U.S. person status as defined by 8 U.S.C. 1324b(a)(3).

Please review the job details below.

This position requires an active U.S. Government Security Clearance at the TS/SCI level with required polygraph.

Our team has an immediate need for an experienced Geospatial Data Scientist to join our team at a customer-site in McLean, VA. The candidate will support gathering project requirements from the customer and implementing data-driven solutions.

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

Minimum Qualifications:

  • 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 Qualifications:

  • 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

Pay Transparency: In support of pay transparency at Vantor, we disclose salary ranges on all U.S. job postings. The successful candidate's starting pay will fall within the salary range provided below and is determined based on job-related factors, including, but not limited to, the experience, qualifications, knowledge, skills, geographic work location, and market conditions. Candidates with the minimum necessary experience, qualifications, knowledge, and skillsets for the position should not expect to receive the upper end of the pay range.

The base pay for this position within the Washington, DC metropolitan area is: $113,000.00 - $188,000.00 annually.

For all other states, we use geographic cost of labor as an input to develop market-driven ranges for our roles, and as such, each location where we hire may have a different range.

Benefits: Vantor offers a competitive total rewards package that goes beyond the standard, including a robust 401(k) with company match, mental health resources, and unique perks like student loan repayment assistance, adoption reimbursement and pet insurance to support all aspects of your life. You can find more information on our benefits at:https://www.Vantor.com/careers

The application window is three days from the date the job is posted and will remain posted until a qualified candidate has been identified for hire. If the job is reposted regardless of reason, it will remain posted three days from the date the job is reposted and will remain reposted until a qualified candidate has been identified for hire.

The date of posting can be found on Vantor's Career page at the top of each job posting.

To apply, submit your application via Vantor's Career page.

EEO Policy: Vantor is an equal opportunity employer committed to an inclusive workplace. We believe in fostering an environment where all team members feel respected, valued, and encouraged to share their ideas. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender identity, sexual orientation, disability, protected veteran status, age, or any other characteristic protected by law.