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Geospatial Data Science Intern Jobs in Oregon (NOW HIRING)

Point C

OR

Point C is seeking an AI Data Science Intern to join our Operations team this summer/fall. You'll work directly with operational leaders across claims, plan administration, client services, and ...

Instacart

Senior Data Scientist II - Core Delivery

OR · Remote

... geospatial data and advanced analytical techniques to optimize delivery experience. You'll also ... About You Minimum Qualifications * 7+ years of experience working in a data science or ML role at a ...

SOSi

Senior Data Scientist

OR · On-site

Master's degree in Data Science, Machine Learning, Statistics, or a related field, or; * nine (9) ... Experience working with geospatial datasets and integrating AI/ML solutions into mission-critical ...

SOSi

Senior Data Scientist

OR

Master's degree in Data Science, Machine Learning, Statistics, or a related field, or; * nine (9) ... Experience working with geospatial datasets and integrating AI/ML solutions into mission-critical ...

SOSi

Senior Data Scientist

OR · On-site +1

Master's degree in Data Science, Machine Learning, Statistics, or a related field, or; * nine (9) ... Experience working with geospatial datasets and integrating AI/ML solutions into mission-critical ...

Instacart

OR

Overview This is a general posting for multiple Senior Data Science roles open across our 4-sided ... leverage geospatial data and advanced analytical techniques to optimize logistics. You'll also ...

SOSi

Data Scientist

OR · On-site +1

Bachelor's degree in Data Science, Statistics, Computer Science, or a related field, or; * seven ... Knowledge of data visualization, feature selection, and geospatial analytics is required.

SOSi

Data Scientist

OR

Bachelor's degree in Data Science, Statistics, Computer Science, or a related field, or; * seven ... Knowledge of data visualization, feature selection, and geospatial analytics is required.

SOSi

Data Scientist

OR · On-site

Bachelor's degree in Data Science, Statistics, Computer Science, or a related field, or; * seven ... Knowledge of data visualization, feature selection, and geospatial analytics is required.

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Geospatial Data Science Intern information

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 are popular job titles related to Geospatial Data Science Intern jobs in Oregon? For Geospatial Data Science Intern jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Geospatial Data Science Intern jobs in Oregon look for? The top searched job categories for Geospatial Data Science Intern jobs in Oregon are:
What cities in Oregon are hiring for Geospatial Data Science Intern jobs? Cities in Oregon with the most Geospatial Data Science Intern job openings:
Geospatial Data Science Intern jobs near you
Infographic showing various Geospatial Data Science Intern job openings in Oregon as of June 2026, with employment types broken down into 83% Full Time, 12% Part Time, and 5% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution.
Data Science AI Intern

Data Science AI Intern

Point C

OR

Other

Posted 9 days ago

Job description

Point C is seeking an AI Data Science Intern to join our Operations team this summer/fall. You'll work directly with operational leaders across claims, plan administration, client services, and clinical functions to identify manual workflows and build AI-assisted tools that drive real efficiency. This is not a shadow-and-observe internship. You'll have real ownership, real problems, and direct exposure to leadership. The internship is set for 10-12 weeks but may be extended based on business needs.

Primary Responsibilities:

  • Partner with operational leaders to identify high-friction, high-volume manual workflows and opportunities to automate and improve processes using AI and data science across claims, plan administration, client services, and clinical/UM functions
  • Design and build AI-assisted tools and prototype solutions using Anthropic's Claude platform - from prompt-based assistants to lightweight internal apps; focus is on initial concepts and working prototypes, not full-scale production builds
  • Prototype quickly; target concept-to-working-demo timelines of days, not weeks; partner with engineers and technical team members to hand off and build out solutions beyond the prototype stage
  • Collaborate with the AI & Automation Engineering team on solutions requiring API integrations or multi-system workflows
  • Document use cases, build logic, and outcomes so solutions are repeatable beyond the internship; write clear documentation capturing the idea, logic, and intended approach for each solution to enable handoff and continuity
  • Present findings and ROI framing to operational and executive leadership
  • Help build and deliver an AI Efficiency Playbook at the close of the internship - capturing what was built, what it replaced, recommended next steps, and a framework for how Point C can continue identifying and implementing AI-driven improvements

Qualifications:

  • Currently a Senior or Graduate student enrolled in a degree program in Business, Computer Science, Health Informatics, Operations, or a related field
  • Hands-on experience with AI tools such as Claude, ChatGPT, or similar LLMs
  • Strong written and verbal communication skills; able to translate technical ideas for non-technical audiences
  • Ability to work independently, manage ambiguity, and prioritize across multiple projects
  • Experience with prompt engineering, APIs, or workflow automation tools (Make, Zapier, Power Automate) is a strong plus
  • Familiarity with Python, JavaScript, or C#/.NET is a plus
  • Prior exposure to healthcare, TPAs, or regulated operational environments is a plus

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