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Summer 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

Lynker Corporation is a leading provider of innovative solutions in weather and climate science ... Lynker is seeking a sharp Geospatial Data Analyst to join our team. This role is contingent upon ...

Geospatial Data Engineer

San Francisco, CA · On-site

$111K - $144K/yr

This role works closely with geospatial data analysts, data scientists, and cross-functional partners in Sales, Operations, Product, and Engineering to ensure that spatial data is reliable, scalable ...

You will collaborate with other data scientists and analysts, developing and implementing ... Present to executive leadership Axos Intern Benefits May Include: * Sick Leave * 401(k) Retirement ...

Data Science Intern

Cerritos, CA · On-site

$18.50/hr

Main purpose of the Brand Partnerships Intern role: This is an internship role for a candidate who ... out valuable data science projects * Conduct complex analysis and build models to uncover key ...

Data Science Intern

Cerritos, CA · On-site

$18 - $18.50/hr

Main purpose of the Brand Partnerships Intern role: This is an internship role for a candidate who ... out valuable data science projects * Conduct complex analysis and build models to uncover key ...

Our Insight Solutions division delivers intelligence analysis, advanced data science, and strategic ... Join our growing team supporting customer missions as a Senior Geospatial Data Scientist in Reston ...

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Summer Geospatial Data Science Intern information

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$12

$22

$42

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

As of May 28, 2026, the average hourly pay for summer 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 is the difference between Summer Geospatial Data Science Intern vs Summer GIS Intern?

AspectSummer Geospatial Data Science InternSummer GIS Intern
Required CredentialsRelevant coursework in data science, GIS, or related fields; basic programming skillsGIS certifications or coursework; GIS software proficiency
Work EnvironmentData analysis, modeling, programming, and spatial data processingMapping, spatial data management, and GIS software application
Employer & Industry UsageTech companies, environmental agencies, research institutionsGovernment agencies, urban planning firms, environmental organizations

The Summer Geospatial Data Science Intern role focuses on analyzing spatial data using data science techniques and programming, while the Summer GIS Intern emphasizes mapping and managing spatial data with GIS software. Both positions require familiarity with GIS concepts, but the data science internship leans more toward programming and data analysis, whereas the GIS internship centers on mapping and spatial data management.

More about Summer Geospatial Data Science Intern jobs
What cities are hiring for Summer Geospatial Data Science Intern jobs? Cities with the most Summer Geospatial Data Science Intern job openings:
What states have the most Summer Geospatial Data Science Intern jobs? States with the most job openings for Summer Geospatial Data Science Intern jobs include:

Geospatial Data Scientist

Maxar

Mclean, VA

$113K - $188K/yr

Full-time

Retirement

Posted 20 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.