GIS/Data Science Internship: Real-World Analytics & Mapping

Civil Design, Inc.

Effingham (IL)

On-site

USD 28,000 - 33,000

Full time

48 hours ago
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Benefits offered by this job

ESOP ownership
Volunteer time off
Company events

Job summary

Civil Design, Inc. is seeking a GIS/Data Science Intern to support GIS projects, data analytics, and related civil engineering tasks across our Infrastructure + Analytics service lines. This internship emphasizes collaboration, hands-on learning, and real project impact in our multi-location firm.

Ideal candidates are CS/Data Science or GIS focused students, able to work 30–40 hours per week, and capable of contributing to web applications, mapping, and fieldwork with a team of professionals.

Qualifications

  • Must be a full or part-time student pursuing a degree in CS, Data Science, or GIS.
  • Support development and maintenance of Web applications.
  • Excellent oral and written communication skills.
  • Excellent interpersonal skills with the ability to work in a team environment.
  • Problem solving skills, attention to detail, and willingness to learn new concepts.
  • Report to the GIS Field Services Lead for work responsibilities, scheduling, and tasks.
  • Perform office and field-based mapping tasks.
  • Provide onsite work for clients and field-based projects as needed.
  • Conduct inventory, track, and maintain field equipment.

Responsibilities

  • Under supervision, the intern will assist in GIS, data analytics, and civil engineering to support a variety of projects.

Skills

CS/Data Science
GIS
Web applications
Oral & written communication
Team collaboration
Fieldwork
Mapping

Education

Pursuing degree in Computer Science / Data Science / GIS

Job description

Civil Design, Inc. is seeking a GIS/Data Science Intern to support GIS projects, data analytics, and related civil engineering tasks across our Infrastructure + Analytics service lines. This internship emphasizes collaboration, hands-on learning, and real project impact in our multi-location firm.

Ideal candidates are CS/Data Science or GIS focused students, able to work 30–40 hours per week, and capable of contributing to web applications, mapping, and fieldwork with a team of professionals.

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