1

Geospatial Data Science Intern Jobs in California

... science initiatives from 0โ†’1 discovery through 1โ†’10 iteration, deployment, and performance improvement. * Work with large, messy operational datasets, including delivery events, geospatial data ...

Data Scientist

Santa Clara, CA ยท On-site +1

$130K - $150K/yr

Work with time-series and geospatial data to build analytical workflows that combine sensor data ... What You Bring * Ph.D. or Master's in Physics, Applied Math, Atmospheric or Ocean Science ...

Data Scientist

Santa Clara, CA ยท On-site

$130K - $150K/yr

Work with time-series and geospatial data to build analytical workflows that combine sensor data ... What You Bring * Ph.D. or Master's in Physics, Applied Math, Atmospheric or Ocean Science ...

Our team consists of machine learning and data science experts and recruiting veterans from leading edge companies such as Facebook, LinkedIn, and Microsoft. As a data scientist intern, you will work ...

Showing results 41-60

Geospatial Data Science Intern information

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 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 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 California?

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

What job categories do people searching Geospatial Data Science Intern jobs in California look for?

The top searched job categories for Geospatial Data Science Intern jobs in California are:

What cities in California are hiring for Geospatial Data Science Intern jobs?

Cities in California with the most Geospatial Data Science Intern job openings:

Infographic showing various Geospatial Data Science Intern job openings in California as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 82% Full Time, 13% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution.

Data Science - Intern (Summer 2027)

Redwood City, CA โ€ข On-site

Socket.dev
Network Securityย โ€ขย 1 - 10 employees

$8.0K - $10K/mo

Other

This job post hasย expired today.ย Applications are no longer accepted.


Job description

C3 AI (NYSE: AI), is the Enterprise AI application software company. C3 AI delivers a family of fully integrated products including the C3 Agentic AI Platform, an end-to-end platform for developing, deploying, and operating enterprise AI applications, C3 AI applications, a portfolio of industry-specific SaaS enterprise AI applications that enable the digital transformation of organizations globally, and C3 Generative AI, a suite of domain-specific generative AI offerings for the enterprise. Learn more at: C3 AI

C3 AI is seeking Data Scientist interns to join us during our Summer 2027 internship program.

As a member of the C3 AI Data Science team, you will work with some of the largest companies on the planet helping them build the next generation of AI-powered enterprise applications on the C3 Agentic AI Platform (c3.ai/customers/). You will work directly with data scientists, AI engineers, and subject matter experts in the definition of new analytics capabilities in order to provide our customers with the information they need to make proper decisions and enable their digital transformation. You will help find the appropriate AI/machine learning algorithms to answer those questions and implement them on the C3 Agentic AI Platform so they can run at scale.

Qualified candidates will have an in-depth knowledge of most common AI, machine learning, and agentic AI techniques and their application. Also, you will understand the limitations of these algorithms and how to tweak them or derive from them to achieve similar results at large-scale.

Responsibilities
  • Drive adoption of AI and agentic AI systems into the next generation of C3 AI products
  • Design and deploy Machine Learning algorithms for industrial applications such as fraud detection and predictive maintenance
  • Collaborate with data and subject matter experts from C3 AI and its customer teams to seek, understand, validate, interpret, and correctly use new data elements
Qualifications
  • Pursuing MS or PhD in Computer Science, Electrical Engineering, Statistics, or equivalent field
  • Applied Machine Learning, Generative AI, and Agentic AI experience (regression and classification, supervised, and unsupervised learning)
  • Familiarity with foundation models and their application to enterprise use cases
  • Experience with prototyping languages such as Python and R
  • Strong mathematical background (linear algebra, calculus, probability, and statistics)
  • Experience with scalable ML (distributed computing, cloud-native, streaming)
  • Ability to drive a project and work both independently and in a team
  • Smart, motivated, can-do attitude, and seeks to make a difference
  • Proficient in spoken and written English
Preferred Qualifications
  • Experience with JavaScript and Java
  • Experience with time series and dynamical systems
  • A portfolio of projects (GitHub, papers, etc.)
Benefits and Compensation
  • Salary range: $8,000 - $10,000 USD per month.

At the office, we offer a fully stocked kitchen with catered lunches, a free on-site gym membership, biweekly social hour with food, drinks, music, and plenty of opportunities to connect and network with your team.

C3 AI is proud to be an Equal Opportunity and Affirmitive Action Employer. We do not discriminate on the basis of any legally protected characteristics, including disabled and veteran status.

#J-18808-Ljbffr