ZipRecruiter

Log In

1

Predictive Analytics Internship Jobs in California

next page

Showing results 1-20

All JobsPredictive Analytics JobsPredictive Analytics Internship JobsPredictive Analytics Internship Jobs in California

Predictive Analytics Internship information

What is a predictive analytics internship?

A Predictive Analytics Internship is a temporary position, usually for students or recent graduates, that provides hands-on experience in analyzing data to forecast trends and outcomes. Interns work with datasets, statistical models, and machine learning tools to help organizations make data-driven decisions. The internship typically involves tasks like data cleaning, building predictive models, and interpreting results under the guidance of experienced analysts or data scientists. This role helps interns develop practical skills in analytics, programming, and business intelligence.

What types of projects can I expect to work on during a predictive analytics internship?

As a Predictive Analytics Intern, you can expect to work on projects that involve collecting, cleaning, and analyzing large datasets to identify trends and make forecasts. Typical responsibilities may include building statistical models, developing machine learning algorithms, and presenting actionable insights to business stakeholders. You will likely collaborate with data scientists, engineers, and business analysts, gaining hands-on experience with real-world data challenges in a supportive team environment. These projects not only help build technical skills but also provide exposure to how data-driven decisions are made in the organization.

What are the key skills and qualifications needed to thrive as a predictive analytics intern, and why are they important?

To thrive as a Predictive Analytics Intern, you need strong quantitative skills, knowledge of statistics, and experience with data analysis, often supported by coursework in mathematics, computer science, or related fields. Familiarity with tools such as Python, R, SQL, and machine learning libraries, as well as experience using data visualization platforms like Tableau, is typically expected. Analytical thinking, attention to detail, and effective communication skills help interns present complex findings clearly and collaborate with team members. These abilities are critical for transforming data into actionable insights that drive decision-making in real business contexts.

What is the difference between Predictive Analytics Internship vs Data Analyst Internship?

AspectPredictive Analytics InternshipData Analyst Internship
Required SkillsStatistical modeling, programming (Python, R), data visualizationData cleaning, SQL, Excel, basic statistics
Work EnvironmentAnalytics teams, data science departmentsBusiness units, reporting teams
Industry UsageTech, finance, marketingRetail, healthcare, finance

Predictive Analytics Internships focus on building models to forecast future trends using statistical and machine learning techniques. Data Analyst Internships emphasize data cleaning, analysis, and reporting to support business decisions. Both roles require analytical skills, but predictive analytics internships often demand more advanced statistical knowledge and programming experience.

What are the most commonly searched types of Predictive Analytics jobs in California?

The most popular types of Predictive Analytics jobs in California are:

What are popular job titles related to Predictive Analytics Internship jobs in California?

For Predictive Analytics Internship jobs in California, the most frequently searched job titles are:

What job categories do people searching Predictive Analytics Internship jobs in California look for?

The top searched job categories for Predictive Analytics Internship jobs in California are:

What cities in California are hiring for Predictive Analytics Internship jobs?

Cities in California with the most Predictive Analytics Internship job openings:

Predictive Analytics Internship jobs near you
Infographic showing various Predictive Analytics Internship job openings in California as of August 2026, with employment types broken down into 1% Internship, 91% Full Time, 6% Part Time, and 2% Contract. Highlights an 79% Physical, 6% Hybrid, and 15% Remote job distribution.

2027 Summer Intern, MS/PhD, Data Science - Commercialization Testing

Waymo

San Francisco, CA

$19.75 - $25.50/hr

Temporary, Internship

Posted yesterday

New

Job description

Waymo's Systems Engineering team works together to blend software and hardware systems in groundbreaking new ways. We set the high performance standards that ensure our vehicles run smoothly and keep passengers safe, then design and perform the tests that validate that performance. We're looking for talented teammates who'll help us maintain strong teamwork and are passionate about driving results.

Waymo interns partner with leaders in the industry on projects that create impact to the company. We believe learning is a two-way street: applying your knowledge while providing you with opportunities to expand your skill-set. Interns are an important part of our culture and our recruiting pipeline. Join us at Waymo for a fun and rewarding internship!

You will:

  • Develop, implement, and refine Bayesian forecasting models to interpret small-sample test results.
  • Build and optimize predictive analytics models to monitor fleet operations and analyze vehicle behavior.
  • Collaborate with Test Engineers to design experimental procedures on closed courses and simulation environments.
  • Extract, process, and analyze large-scale, high-dimensional datasets from vehicle logs and depot operations using Python and SQL.
  • Partner with Systems Engineering, Software Engineering, and Product teams to determine key performance characteristics for model coverage.

You have:

  • Enrolled in a graduate program (Master's or PhD) in Data Science, Statistics, Operations Research, Civil Engineering (with a focus on traffic/mobility analytics), or a highly quantitative field.
  • Strong foundation in predictive analytics, Bayesian modeling, and statistical inference.
  • Proficiency in writing production-quality Python.
  • Strong SQL skills with experience querying and synthesizing data from large-scale databases.
  • Strong communication skills to present complex quantitative results and statistical limitations clearly to non-technical stakeholders.

We prefer:

  • Academic coursework or research experience in traffic flow theory, intelligent transportation systems, fleet routing, or urban mobility.
  • Familiarity with autonomous vehicle technology, simulation-based testing (SIL/HIL), or systems engineering principles.
  • Experience with survival analysis, probability modeling, or extreme value theory applied to safety-critical systems.
  • Comfort navigating highly ambiguous, unstructured problems in a fast-paced R&D environment.

Note: This will be a hybrid onsite internship position. We will accept resumes on a rolling basis until the role is filled. To be in consideration for multiple roles, you will need to apply to each one individually - please apply to the top 3 roles you are interested in.

Apply