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Geospatial Data Science Intern Jobs in Chicago, IL

Support integration of climate science and emerging research into catastrophe risk analytics ... Experience working with geospatial data and tools (e.g., GIS, QGIS, ArcGIS). * Familiarity with ...

... data science models. • Develop mathematical and algorithmic approaches to address complex ... geospatial datasets. • Strong understanding of commercial real estate strategy. • Excellent ...

AI Project Management Intern

Chicago, IL

$30K - $36K/yr

Currently pursuing a degree in Business, Information Systems, Computer Science, Data Science ... The intern gains practical experience in AI project delivery, stakeholder collaboration, project ...

New

AI Project Management Intern

Chicago, IL

$30K - $36K/yr

Currently pursuing a degree in Business, Information Systems, Computer Science, Data Science ... The intern gains practical experience in AI project delivery, stakeholder collaboration, project ...

New

Showing results 21-40

Geospatial Data Science Intern information

See Chicago, IL salary details

$12

$23

$43

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

As of Aug 14, 2026, the average hourly pay for geospatial data science intern in Chicago, IL is $23.18, according to ZipRecruiter salary data. Most workers in this role earn between $17.84 and $25.24 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?

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 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.

What are popular job titles related to Geospatial Data Science Intern jobs in Chicago, IL?

For Geospatial Data Science Intern jobs in Chicago, IL, the most frequently searched job titles are:

What job categories do people searching Geospatial Data Science Intern jobs in Chicago, IL look for?

The top searched job categories for Geospatial Data Science Intern jobs in Chicago, IL are:

What cities near Chicago, IL are hiring for Geospatial Data Science Intern jobs?

Cities near Chicago, IL with the most Geospatial Data Science Intern job openings:

Infographic showing various Geospatial Data Science Intern job openings in Chicago, IL as of August 2026, with employment types broken down into 21% Internship, 65% Full Time, 10% Part Time, and 4% Contract. Highlights an 77% In-person, and 23% Remote job distribution, with an average salary of $48,220 per year, or $23.2 per hour.

Senior Catastrophe Risk Analyst

SageSure

Chicago, IL • On-site

Full-time

Re-posted 8 days ago


Job description

Overview:
If you're looking for the stability of a profitable, growing company with the entrepreneurial spirit of a startup, we're hiring. SageSure, a leader in catastrophe-exposed property insurance, is seeking a Senior Catastrophe Risk Analyst.
In this role, you'll play a critical part in advancing the scientific, statistical, and model-based understanding of catastrophe risk across perils such as hurricanes, earthquakes, wildfires, floods, and severe convective storms. You'll support the development and evaluation of catastrophe models, enhance internal risk views, and deliver insights to inform underwriting, portfolio management, and reinsurance strategy.
What you'd be doing:
  • Evaluate third-party catastrophe models (e.g., RMS, Verisk, CoreLogic) and contribute to the development of internal risk views.
  • Analyze large datasets (e.g., exposure data, claims data, hazard data) to assess model performance, validate assumptions, and identify improvement areas.
  • Conduct claims analysis, event response, and post-event analytics.
  • Support integration of climate science and emerging research into catastrophe risk analytics.
  • Collaborate with internal stakeholders (underwriting, actuarial, reinsurance, risk, and data science teams) to apply research findings to business decisions.
  • Design and implement tools, frameworks, or methodologies that improve model transparency and interpretability.
  • Monitor and interpret academic, regulatory, and industry developments in catastrophe risk science and modeling.
  • Ad hoc job duties as assigned.

We're looking for someone who has:
  • Advanced degree (Master's or PhD) in Atmospheric Science, Hydrology, Earth Science, Engineering, Applied Mathematics, Statistics, or a related quantitative field.
  • 5+ years of experience in catastrophe modeling, natural hazard risk research, insurance analytics, or a related field.
  • Proficiency with catastrophe modeling platforms (RMS, Verisk, AIR, etc.).
  • Strong coding and data analysis skills (e.g., Python, R, SQL).
  • Experience working with geospatial data and tools (e.g., GIS, QGIS, ArcGIS).
  • Familiarity with stochastic simulation, probabilistic risk modeling, and related statistical methods.
  • Strong critical thinking, problem-solving, and research skills.
  • Excellent communication skills with the ability to explain complex concepts to non-technical audiences.
  • Proven ability to work collaboratively in cross-functional, research-driven environments.

Highly preferred candidates also have:
  • Experience in the (re)insurance, ILS, consulting, or catastrophe model vendor environment.
  • Experience developing internal catastrophe models or integrating third-party models into portfolio management workflows.
  • Familiarity with climate risk modeling and emerging methodologies in catastrophe risk R&D.
  • Demonstrated track record of publishing or presenting research in the field of natural hazard modeling or risk analytics.

Catastrophe Risk R&D:
At SageSure, the Catastrophe Risk R&D team is redefining how the industry understands and manages catastrophe risk. We operate at the intersection of science, technology, data, and industry insight, developing a proprietary view of risk that goes beyond traditional models. Our work shapes risk management strategy, capital allocation, and external market positioning, directly influencing how SageSure protects policyholders and partners in catastrophe-exposed regions.
Join the team that sees risk differently-and proves it.
#LI-KW1
About SageSure:
Named among the Best Places to Work in Insurance by Business Insurance for four years in a row (2020-2023), SageSure is one of the largest managing general underwriters (MGU) focused on catastrophe-exposed property in the US. Since its founding in 2009, SageSure has experienced exceptional growth while generating underwriting profits for carrier partners through hurricanes, wildfires, and hail. Available in 16 states, SageSure offers more than 110 home, flood, and commercial products on behalf of its highly rated carrier partners. Today, SageSure manages more than $3.2 billion of inforce premium and helps protect more than 970,000 policyholders.
We have more than 1,000 employees in a distributed workforce environment across 12 offices-Fairfield, CA; Mountain View, CA; Cheshire, CT; Jacksonville, FL; Tallahassee, FL; Tampa, FL; Chicago, IL; Jersey City, NJ; Marlton, NJ; Cincinnati, OH; Houston, TX; Sheboygan, WI-who are tackling the industry's toughest challenges.
SageSure is a proud Equal Opportunity Employer committed to building a workforce that reflects the spectrum of perspectives, experiences, and abilities of the world we live in. We recognize that our differences make us strong, and we actively seek out diverse candidates through partnerships with organizations, institutions and communities that represent various backgrounds. We champion belonging and inclusion for all identities, including, but not limited to, race, ethnicity, religion, sexual orientation, age, veteran status, ability status, gender, and country of origin, striving to create a culture where all individuals feel valued, respected, and empowered to bring their authentic selves to work.
Our nimble, highly responsive culture nurtures critical thinkers who run toward problems and engineer solutions. We relentlessly pursue better outcomes by investing in the technology, talent, and tools that position us to succeed in demanding markets. Come join our team! Visit sagesure.com/careers to find a position for you.
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