1

Geospatial Data Science Intern Jobs in Chicago, IL

GIS Developer

Chicago, IL · On-site +1

$85K - $105K/yr

... high-quality geospatial data delivery. This position will report in a hybrid setting ... Bachelor's degree in GIS, Geography, or a related science field. * 5+ years of professional ...

GIS Developer

Chicago, IL · On-site

$85K - $105K/yr

... high-quality geospatial data delivery. This position will report in a hybrid setting ... Bachelor's degree in GIS, Geography, or a related science field. * 5+ years of professional ...

Intern, AI Engineer The job responsibilities outlined in this document are not exhaustive and may ... Science, Data Science, Machine Learning, or a related field. Strong foundation in Python ...

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 ...

Experience working with geospatial data and tools (e.g., GIS, QGIS, ArcGIS). * Familiarity with ... Ability to explain complex scientific or quantitative findings to non-technical audiences. * Strong ...

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 ...

Intern, AI Engineer The job responsibilities outlined in this document are not exhaustive and may ... Science, Data Science, Machine Learning, or a related field. • Strong foundation in Python ...

Intern, AI Engineer The job responsibilities outlined in this document are not exhaustive and may ... Science, Data Science, Machine Learning, or a related field. • Strong foundation in Python ...

next page

Showing results 1-20

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 Jun 16, 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 job?

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 in the Geospatial Data Science Intern position, and why are they important?

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 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:
Product Manager, Data Science Platform (AI/ML)

Product Manager, Data Science Platform (AI/ML)

project44

Chicago, IL • On-site

Full-time

Posted 15 days ago


Job description

Job Summary:
project44 is a company focused on redefining global supply chains with their Decision Intelligence Platform. They are seeking a hands-on Product Manager to scale ML-powered products and build Data Science as a Platform, collaborating with various teams to deliver impactful ML solutions.
Responsibilities:
• Own the roadmap for applied ML capabilities beyond ETA (risk scoring, exception prediction, anomaly detection, carrier/network performance insights), from discovery to launch and iteration.
• Define and deliver a DS/ML platform: feature management, experimentation, model registry, deployment patterns, monitoring/observability, governance, and self-serve tooling.
• Translate customer workflows into ML problem statements: labels/targets, constraints, SLAs, interpretability, and 'do no harm' launch gates.
• Drive evaluation and experimentation: offline metrics/back testing, online testing (A/B, holdouts), and measurable business impact.
• Partner with engineering on batch + real-time inference architectures, streaming/event-time feature needs, and reliability (SLOs, incident playbooks).
• Establish and track platform success metrics: time-to-first-model, deployment frequency, reuse rate, model performance stability, incident rate, and ROI.
Qualifications:
Required:
• 5–8+ years Product Management experience with 3–4+ years focused on DS/ML-driven products (or equivalent)
• Demonstrated ability shipping end-to-end ML systems to production and iterating based on outcomes
• Strong technical fluency across the ML lifecycle (data → features → training → serving → monitoring → retraining)
• Ability to operate between Sr and Principal: sets direction, aligns stakeholders, and drives execution across multiple teams
• Excellent written communication (PRDs, decision docs) and crisp cross-functional leadership
• In-office Commitment: Employees are expected to contribute to our collaborative culture by working in the office Four days weekly
• SQL (strong) and working knowledge of Python / notebooks / data analysis workflows
• Data platforms: Snowflake / BigQuery / Redshift / Databricks (Delta Lake)
• Orchestration & ETL: Airflow / Dagster / Prefect, dbt, Spark
• Streaming/event systems: Kafka / Kinesis / Flink
• MLOps: experiment tracking/model registry (MLflow / Weights & Biases), pipelines (Kubeflow / SageMaker Pipelines / TFX / Flyte/ Tensor flow), serving (SageMaker / Vertex AI / Databricks Model Serving / KServe / BentoML)
• Feature stores: Feast / Tecton / SageMaker Feature Store
• Monitoring/observability: Arize / WhyLabs / Evidently + Prometheus/Grafana/Datadog
• Platform fundamentals: Docker/Kubernetes, API design (REST/gRPC), SLAs/SLOs, security & PII basics
• LLMs/GenAI (RAG, embeddings, vector DBs like Pinecone/Weaviate/Milvus), evaluation + guardrails
Preferred:
• Experience in logistics / supply chain / transportation or other high-volume operational domains
• Familiarity with geospatial/event-time data, carrier APIs/EDI, entity resolution, and enterprise exception workflows
• Platform product experience with internal 'developer' customers and adoption metrics
Company:
As the supply chain connective tissue, project44 operates the world’s most trusted end-to-end visibility platform Movement Founded in 2014, the company is headquartered in Chicago, USA, with a team of 501-1000 employees. The company is currently Late Stage.