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Data Science Apprenticeship Jobs in California (NOW HIRING)

Applied Data Science Summer Internship About Us: Evolver is a rapidly growing enterprise AI company ... Tax and Audit The program is structured as a high-engagement cohort-based apprenticeship experience ...

Applied Data Science Summer Internship About Us: Evolver is a rapidly growing enterprise AI company ... Tax and Audit The program is structured as a high-engagement cohort-based apprenticeship experience ...

... apprenticeship, associate, bachelor's, master's, or JD/PhD program * Experience as a PhD graduate ... Experience with data science methodology * A data-driven, systemic thinking, and continuous ...

Quant Research, Associate

San Francisco, CA · On-site

  • Medical

  • Retirement

The desire to work in a team environment with computer scientists, data scientists, and ... apprenticeship that enriches the experience of our employees, while supporting flexibility for all.

Staff User Experience Researcher

Glendale, CA · On-site +1

  • Medical

  • Dental

  • Vision

  • Retirement

... apprenticeships * Contribute to hiring and talent evaluation by developing judgment on research craft and providing feedback on the shape of the team * Collaborate with Data Science, Analytics, and ...

DoD SkillBridge - Honor Role

San Jose, CA · On-site

$121K - $162K/yr

  • Medical

  • Retirement

  • PTO

... Apprenticeship Program eBay proudly offers the Honor Role Apprenticeship Program through the ... Education: Bachelor's degree or equivalent in Computer Science, Engineering, Cybersecurity, or ...

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Data Science Apprenticeship information

What do data science apprentices do?

Data Science Apprentices usually assist with collecting, cleaning, and analyzing data to help teams solve business problems. They may support the development and testing of machine learning models, create data visualizations, and help prepare reports that communicate insights to both technical and non-technical stakeholders. Apprentices often collaborate closely with experienced data scientists and engineers, gaining exposure to real-world workflows and industry practices. This hands-on experience not only builds technical skills but also helps apprentices understand how data science contributes to strategic decision-making within organizations.

What skills and qualifications are needed for a data science apprenticeship?

To thrive as a Data Science Apprentice, you need a solid understanding of statistics, programming (commonly in Python or R), and data analysis, often supported by a relevant degree or coursework in a quantitative field. Familiarity with tools like SQL, Jupyter Notebooks, and data visualization software, as well as knowledge of frameworks like scikit-learn or TensorFlow, is highly beneficial. Strong problem-solving abilities, eagerness to learn, and effective communication skills help apprentices excel and integrate into data-driven teams. These skills are essential for tackling real-world data challenges, contributing to projects, and building a successful foundation for a future career in data science.

What is a data science apprenticeship?

A Data Science Apprenticeship is a structured, hands-on training program that allows aspiring data scientists to gain practical experience while working under the guidance of experienced professionals. Apprentices learn key skills such as data analysis, machine learning, and statistical modeling through real-world projects. These programs often combine coursework with on-the-job training, making them an excellent pathway for individuals transitioning into data science or looking to gain industry experience.

What are the most commonly searched types of Data Science Apprenticeship jobs in California? The most popular types of Data Science Apprenticeship jobs in California are:
What are popular job titles related to Data Science Apprenticeship jobs in California? For Data Science Apprenticeship jobs in California, the most frequently searched job titles are:
What job categories do people searching Data Science Apprenticeship jobs in California look for? The top searched job categories for Data Science Apprenticeship jobs in California are:
What cities in California are hiring for Data Science Apprenticeship jobs? Cities in California with the most Data Science Apprenticeship job openings:
Infographic showing various Data Science Apprenticeship job openings in California as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, 2% Temporary, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Applied Data Science Intern

Evolver

Palo Alto, CA • On-site

Full-time, Internship

Re-posted 25 days ago


Job description

Applied Data Science Summer Internship
About Us:
Evolver is a rapidly growing enterprise AI company building advanced solutions for Fortune 500 organizations across finance, tax, risk, and audit. In just 1.5 years, the company has grown from 0 to nearly 100 employees, bringing together an exceptional team of technologists, researchers, and industry experts. Founders includes former executives from some of the world's top organizations, including the former Global CTO and Global Board Member of Ernst and Young and the former VP of AI from Microsoft, alongside senior leaders from other major global enterprises. The team includes multiple PhDs and a strong concentration of employees with advanced degrees from leading universities. This in-person internship offers a small cohort of students the opportunity to work directly alongside experienced operators and AI experts while gaining hands-on exposure to using the latest innovations in data science applications at a frontier startup environment.
Program Details:
Evolver is launching a small, highly selective summer internship cohort for students and emerging talent to gain hands-on experience applying data science techniques to enterprise datasets while learning to leverage and deploy AI systems for real-world Fortune 500 business use cases.
This is an intensive 10-week, full-time small cohort program designed to provide direct mentorship from experienced professionals in computer science, data science, artificial intelligence, and enterprise software deployment.
  • Duration: 10 weeks (full-time), June through Early August.
  • Competitive Compensation: Tailored to your experience and skill set.
  • Format: Hybrid (4+ days in person) - Based in Palo Alto, CA off University Ave
  • Cohort Size: Small and mentorship-focused
  • Learning Goals: Develop and apply AI-driven data science solutions on real-world datasets and workflows supporting Fortune 500 enterprise use cases.

Role Details:
Interns will contribute to real data innovation projects involving:
  • Data analysis and machine learning pipelines
  • AI agents, retrieval systems, and evaluation frameworks
  • Enterprise AI integration and deployment tooling
  • Product prototyping and applied research
  • Automation systems for large-scale organizational use
  • Real world enterprise use cases of graph theory
  • Gain direct exposure to Fortune 500 clients
  • Access enterprise-scale AI and data science initiatives through hands-on collaboration with internal teams and customer engagements.

Projects are oriented toward practical AI solutions deployed in enterprise and Fortune 500 environments.
Mentorship & Learning
Interns will work closely with experienced staff and technical mentors with expertise in:
  • Computer Science
  • Data Science & Analytics
  • Applied AI & Machine Learning
  • Enterprise Infrastructure
  • Scalable AI Deployment
  • Risk and Compliance Frameworks
  • Tax and Audit

The program is structured as a high-engagement cohort-based apprenticeship experience emphasizing:
  • Daily in person technical collaboration
  • Rapid learning and iteration
  • Exposure to real deployment challenges
  • Cross-disciplinary problem solving
  • Professional development in AI engineering and enterprise systems

Who Should Apply:
We welcome applications from:
  • Graduate students with a record of excellence
  • Exceptional advanced undergraduates

All candidates are required to be recommended by an accredited professor leading a relevant program at a top university. Will be verified during application process.
Strong candidates typically demonstrate:
  • Programming experience
  • Curiosity about AI systems and emerging technologies
  • Initiative, creativity, and strong problem-solving ability
  • Prior technical, research, or project experience

You do not need deep expertise in every area, we value intellectual curiosity, adaptability, and motivation to build.