Geospatial Data Scientist Intern Geospatial Data Scientist Intern AECOM Remote · Herndon, VA, U[...]

Seeds Renewables; Herndon (VA); Remote; USD 20,664 - 34,440; Part time

Job summary

A leading engineering firm is seeking a Geospatial Data Scientist Intern for a summer internship in Herndon, VA. The intern will analyze large datasets, assist with data processing automation, and conduct statistical modeling for various environmental projects. Candidates should be currently pursuing a degree related to Data Science or Geography, possess strong analytical skills, and demonstrate problem-solving abilities. This is a great opportunity to gain hands-on experience in a dynamic environment.

Qualifications

• Attention to detail with proactive problem-solving skills.
• Ability to analyze large datasets and derive meaningful insights.

Responsibilities

• Analyze large datasets to identify patterns and produce visualizations.
• Assist with automation of data processing tasks.
• Conduct statistical analysis and modeling for environmental use-cases.

Skills

Data analysis

Statistical analysis

GIS software proficiency

Problem-solving

Education

Currently pursuing degree in Data Science, Geography, or related field

Job description

AECOM is actively seeking a highly talented, energetic technology-minded Geospatial Data Scientist Intern for a summer internship in AECOM's Herndon, VA office.

The Geospatial Data Scientist Intern will report to the Data Science Manager in the Technology Services Group and support both internal and external clients within the Environment Business line. This position will support a wide variety of AECOM projects including environmental permitting, natural disaster recovery, environmental restoration, construction, site assessments, inspections, energy infrastructure development, water resources, transportation, and more. A successful candidate will work both independently and in close coordination with various AECOM staff and project teams to develop, deploy and support GIS and other Geospatial Data Science tasks critical to successful project delivery.

This position is expected to start Summer 2026.

Responsibilities

• Analyze large datasets to identify patterns, derive insights, and produce meaningful visualizations
• Assist with automation of data processing tasks
• Conduct statistical analysis and modeling for various environmental use-cases
• Apply attention to detail with proactive and resourceful problem-solving skills.