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Internship Geospatial Data Scientist Jobs in California

Nash, Inc.

Senior Data Scientist

San Francisco, CA · On-site +1

Senior Data Scientist About Nash Nash is the autonomic logistics platform. We unify decisioning and ... Work with large, messy operational datasets, including delivery events, geospatial data, carrier ...

Nash

Senior Data Scientist

San Francisco, CA · On-site

$180 - $240/hr

Senior Data Scientist About Nash Nash is the autonomic logistics platform. We unify decisioning and ... Work with large, messy operational datasets, including delivery events, geospatial data, carrier ...

Socket.dev

Data Scientist

Folsom, CA · On-site

$100 - $150/hr

Role Summary The Robotics & Services team is seeking an entry-level Data Scientist to support the ... Exposure to geospatial data, shapefiles, GeoJSON, GPS coordinates, or map-based analytics.

Hayden AI

Associate Data Scientist

San Francisco, CA · On-site

$120K - $156K/yr

... or internships. * Strong SQL skills and experience working with data warehouse systems such as ... Previous experience working with geospatial analytics and spatial datasets. * Experience with large ...

kgs

Navy SEPASS Data Scientist

Monterey, CA · On-site

Koniag IT Systems, LLC is seeking a Lead Data Scientist to spearhead geospatial application programming efforts for our federal customers. The ideal candidate will bring extensive experience in data ...

Koniag, Inc.

Navy SEPASS Data Scientist

Monterey, CA · On-site

$195K - $205K/yr

Koniag IT Systems, LLC is seeking a Lead Data Scientist to spearhead geospatial application programming efforts for our federal customers. The ideal candidate will bring extensive experience in data ...

kgs

Navy SEPASS Data Scientist

Monterey, CA · On-site

Koniag IT Systems, LLC is seeking a Lead Data Scientist to spearhead geospatial application programming efforts for our federal customers. The ideal candidate will bring extensive experience in data ...

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All JobsGeospatial Data Scientist JobsInternship Geospatial Data Scientist JobsInternship Geospatial Data Scientist Jobs in California

Internship Geospatial Data Scientist information

What is an internship geospatial data scientist?

An Internship Geospatial Data Scientist is a student or recent graduate who assists in analyzing and interpreting geographic data using advanced computational and statistical methods. They work with spatial datasets, use GIS (Geographic Information Systems) software, and may help develop models to solve real-world problems involving locations and spatial relationships. This internship provides hands-on experience in data analysis, mapping, and programming, preparing individuals for a career in geospatial science or data analytics.

What types of projects can an internship geospatial data scientist expect to work on, and how do these contribute to the organization's goals?

As an Internship Geospatial Data Scientist, you can expect to work on projects involving spatial data analysis, map creation, and data visualization using tools like GIS software and Python or R. These projects often support decision-making in areas such as urban planning, environmental monitoring, or logistics optimization. Interns typically assist in cleaning and processing large spatial datasets, developing models, and presenting findings to team members. Your contributions help inform strategic initiatives and provide actionable insights, offering valuable experience and exposure to real-world geospatial challenges.

What are the key skills and qualifications needed to thrive as an internship geospatial data scientist, and why are they important?

To thrive as an Internship Geospatial Data Scientist, you need a solid understanding of GIS concepts, spatial analysis, and proficiency in programming languages like Python or R, often supported by coursework or a background in geography, computer science, or related fields. Familiarity with tools such as ArcGIS, QGIS, remote sensing platforms, and data visualization software is typically expected. Strong analytical thinking, attention to detail, and effective communication skills help you interpret spatial data and collaborate with interdisciplinary teams. These abilities are crucial for delivering actionable geospatial insights and supporting data-driven decision-making within organizations.

What is the difference between Internship Geospatial Data Scientist vs Geospatial Data Analyst?

AspectInternship Geospatial Data ScientistGeospatial Data Analyst
Required CredentialsEnrolled in or recent graduate of relevant degree (e.g., GIS, Data Science)Similar educational background, often with additional certifications in GIS or analytics
Work EnvironmentInternship setting, often in tech, government, or environmental firmsFull-time or part-time roles in various industries like urban planning, environmental agencies
Employer & Industry UsageUsed by organizations seeking entry-level talent for geospatial projectsCommon in industries requiring spatial data analysis for decision-making

The Internship Geospatial Data Scientist is an entry-level role focused on learning and supporting geospatial data projects, often within a structured internship program. In contrast, a Geospatial Data Analyst is a more established position involving ongoing data analysis, reporting, and decision support. Both roles require similar educational backgrounds, but the internship is temporary and geared toward gaining experience, while the analyst role is typically permanent and more autonomous.

What are the most commonly searched types of Geospatial Data Scientist jobs in California? The most popular types of Geospatial Data Scientist jobs in California are:
What cities in California are hiring for Internship Geospatial Data Scientist jobs? Cities in California with the most Internship Geospatial Data Scientist job openings:
Internship Geospatial Data Scientist jobs near you

Data Scientist / Senior Data Scientist

Berkshire Hathaway Specialty Insurance

San Ramon, CA • On-site

Full-time

Re-posted 27 days ago

Job description

Job Summary:
Berkshire Hathaway Specialty Insurance (BHSI) is a strategic and trusted insurance partner providing a broad range of commercial insurance coverages. They are seeking a Data Scientist / Senior Data Scientist to join the Catastrophe Engineering and Analytics team, responsible for applying data science techniques to assess risk and develop models for various natural and man-made perils.
Responsibilities:
• Evaluate and develop insights into large and diverse data sets from claims, hazard models, structural analysis, geospatial sources, and various other public/proprietary datasets.
• Develop and maintain expertise in advanced data science, machine learning, and artificial intelligence techniques, and their application to understanding risk.
• Work with domain experts across teams and perils to enhance our use of available data.
• Propose and execute innovative solutions to insurance problems that directly impact BHSI underwriting decisions.
Qualifications:
Required:
• Ph.D. or M.S. in data science, civil engineering, atmospheric science, actuarial science, computer science, mathematics, or a related field
• Advanced knowledge of probability theory, statistics, and machine learning methods is required
• Experience applying advanced statistical techniques and machine learning to large data sets, especially in areas of structural performance, natural catastrophe hazard, building exposure data, geospatial data, or insurance claims data
• Familiarity with large language models (LLMs), retrieval-augmented generation (RAG), and their application in data-driven workflows is a plus
• Strong written and verbal communication skills
• Comfort working within git-based version-control environments
• Highly motivated, detail oriented, and team player
Preferred:
• 3-6 years of industry experience is preferred and required for the Senior Data Scientist level role
• Practical experience in insurance, catastrophe model development, cyber and casualty risk modeling, and/or exposure data collection is preferred
• Strong programming skills in Python (preferred), R, and SQL
• Experience and understanding of relational and non-relational databases preferred
• Experience with Databricks or other cloud-based data and analytics platforms preferred
Company:
Berkshire Hathaway Specialty Insurance is a company providing risk solutions and claims care. Founded in 2013, the company is headquartered in Boston, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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