1

Intern Geospatial Data Scientist Jobs in California

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 ...

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 ...

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 ...

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 ...

As a data scientist intern, you will work alongside our small team of data scientists and engineers to improve our core technology and better serve our customers. Responsibilities * Perform large ...

next page

Showing results 1-20

Intern Geospatial Data Scientist information

What is the difference between Intern Geospatial Data Scientist vs Intern GIS Analyst?

AspectIntern Geospatial Data ScientistIntern GIS Analyst
Required CredentialsBasic coursework in data science, GIS, or related fields; some programming experienceStudying GIS, geography, or related fields; familiarity with GIS software
Work EnvironmentData analysis, modeling, and programming tasks in a tech or research settingMapping, data management, and spatial analysis in government or environmental agencies
Industry UsageTech companies, research institutions, environmental firmsGovernment agencies, urban planning, environmental organizations

Intern Geospatial Data Scientists focus on analyzing spatial data using programming and statistical methods, while Intern GIS Analysts primarily handle mapping and spatial data management. Both roles provide valuable experience in geospatial fields but differ in technical depth and focus areas.

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 are popular job titles related to Intern Geospatial Data Scientist jobs in California? For Intern Geospatial Data Scientist jobs in California, the most frequently searched job titles are:
What job categories do people searching Intern Geospatial Data Scientist jobs in California look for? The top searched job categories for Intern Geospatial Data Scientist jobs in California are:
What cities in California are hiring for Intern Geospatial Data Scientist jobs? Cities in California with the most Intern Geospatial Data Scientist job openings:
Infographic showing various Intern Geospatial Data Scientist job openings in California as of July 2026, with employment types broken down into 33% Internship, 50% Full Time, and 17% Part Time. Highlights an 67% In-person, and 33% Remote job distribution.

Data Scientist / Senior Data Scientist

Berkshire Hathaway Specialty Insurance

San Ramon, CA • On-site

Full-time

Re-posted 19 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.