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Geospatial Data Science Intern Jobs in Manhattan, NY

Collaborate with computational ecologists and data scientists to integrate generative design with ... Utilize inferred geospatial data to drive the computational synthesis and design of functional ...

Senior Applied Scientist

New York, NY · On-site

$116K - $210K/yr

... science, physics, engineering, etc.) (Required) * 4-7 years experience building and deploying ... Experience in AdTech and GIS or geospatial data processing is a plus. * At least 18 years of age

Senior Climate Analytics Specialist

New York, NY · On-site

$95K - $117K/yr

Use scientific programming, cloud-based distributed computing, and large-scale geospatial data processing to advance climate analytics and products * Translate complex climate risk questions into ...

Academic and professional background that pairs data or computer science with environmental or ... MRV, wastewater modeling, process-based modeling, geospatial data analysis & modeling, physics ...

Academic and professional background that pairs data or computer science with environmental or ... MRV, wastewater modeling, process-based modeling, geospatial data analysis & modeling, physics ...

Senior Data Scientist

New York, NY · On-site

$126K - $199K/yr

... Science, or related field plus 2 years of experience as a Data Scientist, Data Analytics Extern, Data Scientist Intern, or related occupation. * Must have prior experience, internship, project ...

Senior Data Scientist

Manhattan, NY · On-site

$126 - $200/hr

... Science, or related field plus 2 years of experience as a Data Scientist, Data Analytics Extern, Data Scientist Intern, or related occupation. * Must have prior experience, internship, project ...

The Intern will work closely with Data Engineering and Data Analytics teams to help ingest, process ... Bachelor's/Master's Degree in Data Science/Statistics/Computer Science/Computer Engineering ...

The Intern will work closely with Data Engineering and Data Analytics teams to help ingest, process ... Bachelor's/Master's Degree in Data Science/Statistics/Computer Science/Computer Engineering ...

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Geospatial Data Science Intern information

See Manhattan, NY salary details

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

As of Sep 5, 2026, the average hourly pay for geospatial data science intern in Manhattan, NY is $24.84, according to ZipRecruiter salary data. Most workers in this role earn between $19.09 and $27.07 per hour, depending on experience, location, and employer.

What is a geospatial data science intern?

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 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 are the key skills and qualifications needed to thrive as a geospatial data science intern?

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.

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What cities near Manhattan, NY are hiring for Geospatial Data Science Intern jobs?

Cities near Manhattan, NY with the most Geospatial Data Science Intern job openings:

Enterprise GIS Program Manager

Stellar Services, Inc.

Manhattan, NY • On-site

Other

Posted 22 days ago


Job description

Enterprise GIS Strategy & Program Leadership
• Develop and implement enterprise GIS strategies, roadmaps, and modernization initiatives 
aligned with project business objectives.
• Lead enterprise GIS governance initiatives, including development of standards, policies, 
and best practices for geospatial data management.
• Define enterprise GIS functional and technical requirements for new initiatives.
• Provide leadership in enterprise GIS architecture and solution design.
• Develop centralized enterprise geospatial data models and implementation strategies.
• Coordinate enterprise-wide GIS programs involving multiple business units and 
stakeholders.
Geospatial Data Management
• Design and manage enterprise spatial database infrastructure.
• Develop and maintain centralized GIS data repositories supporting agency-wide 
operations.
• Implement master data management and spatial data governance practices.
• Improve geospatial data quality, consistency, interoperability, and accessibility.
• Develop strategies for CAD-to-GIS conversion and integration.
• Support utility mapping, bridge inspection programs, and infrastructure inventory 
initiatives.
• Design and implement Linear Referencing Systems (LRS) supporting transportation and 
infrastructure assets.
Enterprise GIS Platform Administration
• Lead deployment and administration of enterprise GIS platforms utilizing Esri technologies.
• Develop cloud-based GIS architectures supporting secure, scalable enterprise services.
• Implement Common Data Environments (CDE) for geospatial information management.
• Develop secure enterprise geospatial services for cross-departmental and interagency 
collaboration.
• Recommend improvements to enterprise GIS infrastructure, security, performance, and 
scalability.
Enterprise Systems Integration
• Lead integration of GIS with Enterprise Asset Management (EAM) platforms including Infor 
and IBM Maximo.
• Develop BIM-to-GIS and CAD-to-GIS integration strategies.
• Support LiDAR, BIM, GIS, and asset management workflows.
• Integrate GIS with enterprise systems including Bentley, PeopleSoft, Power BI, OMNY, 
OpenShift, and Red Hat Enterprise Service Bus.
• Design enterprise integration architectures supporting agency-wide digital engineering 
initiatives.
GIS Analytics & Decision Support
• Develop advanced geospatial analytics supporting capital planning and infrastructure 
investment.
• Design enterprise business intelligence dashboards utilizing GIS and Power BI.
• Support Building Intelligence initiatives through spatial analytics and visualization.
• Implement Nearmap AI and other emerging geospatial technologies to improve operational 
decision making.
• Develop 3D geospatial visualization products supporting planning, engineering, and asset 
management.
GIS Automation & Data Engineering
• Develop enterprise GIS automation workflows utilizing FME Enterprise and related 
technologies.
• Design automated ETL processes supporting enterprise geospatial data integration.
• Improve GIS data engineering practices to streamline workflows and improve operational 
efficiency.
• Automate enterprise GIS and EAM data synchronization processes.
Asset Management & Infrastructure Applications
• Support enterprise asset lifecycle management utilizing GIS technologies.
• Develop and maintain utility network mapping and infrastructure asset inventories.
• Support marine terminal, aviation, rail, roadway, and bridge asset management initiatives.
• Develop spatial asset management solutions supporting capital investment planning.
• Support intelligent transportation initiatives including GIS-enabled hazard notification and 
operational awareness systems.
Technical Advisory Services
• Provide expert technical guidance regarding enterprise GIS technologies and industry best 
practices.
• Evaluate emerging geospatial technologies and recommend implementation strategies.
• Prepare technical documentation, implementation plans, standards, and system 
architecture documentation.
• Coordinate with engineering, information technology, operations, and consultant teams to 
deliver enterprise GIS initiatives.
• Perform additional GIS-related duties.


The minimum and preferred qualifications for this role are listed below. To be considered, 
candidates must meet the minimum qualifications.
Minimum Qualifications
• Bachelor’s degree in geographic information systems (GIS), Geography, Civil Engineering, 
Computer Science, Information Systems, or a related discipline.
• Minimum of ten (10) years of progressively responsible experience leading enterprise GIS 
programs.
• Demonstrated experience developing enterprise GIS strategies, governance frameworks, 
and implementation roadmaps.
• Extensive experience with Esri Enterprise technologies and enterprise GIS architecture.
• Experience designing and managing enterprise spatial databases and geospatial data 
governance programs.
• Experience integrating GIS with Enterprise Asset Management systems, including Infor, 
Maximo, or comparable platforms.
• Experience with BIM, CAD, LiDAR, and enterprise systems integration.
• Strong knowledge of GIS cloud architecture and enterprise integration technologies.
• Excellent written and verbal communication skills with demonstrated experience 
presenting technical information to executive leadership.
• Proven ability to lead multidisciplinary technical teams and manage multiple concurrent 
initiatives.