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Applied Science Intern Jobs in California (NOW HIRING)

Evolver

Applied Data Science Intern

Palo Alto, CA

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 ...

Evolver

Applied Data Science Intern

Palo Alto, CA · On-site

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 ...

Centerfield

Data Science Intern

Los Angeles, CA · On-site

Centerfield is looking for a curious, hands-on Data Science Intern to work alongside our Data ... Working understanding of machine learning concepts and applied statistics - regression ...

Brilent

Data Scientist Intern

San Mateo, CA · On-site

As a data scientist intern, you will work alongside our small team of data scientists and engineers ... Pursuing BS, MS or PhD in Statistics, Applied Mathematics, Computer Science or another quantitative ...

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Applied Science Intern information

What are the key skills and qualifications needed to thrive as an applied science intern?

To thrive as an Applied Science Intern, you need a solid background in mathematics, statistics, and programming, typically supported by coursework or a degree in computer science, engineering, or a related field. Familiarity with data analysis tools (such as Python, R, or MATLAB), machine learning frameworks, and cloud platforms is often required. Strong analytical thinking, effective communication, and a willingness to learn make candidates stand out in this role. These skills are vital for contributing to research-driven projects, interpreting complex data, and collaborating efficiently with multidisciplinary teams.

What does an applied science intern do?

An Applied Science Intern typically works on research and development projects that involve applying scientific and quantitative methods to solve real-world problems. Their tasks may include data analysis, building machine learning models, conducting experiments, and collaborating with engineers or scientists to develop innovative solutions. Interns often gain hands-on experience with advanced technologies and tools while contributing to impactful projects within a company or research lab.

What is the difference between Applied Science Intern vs Research Intern?

AspectApplied Science InternResearch Intern
Required CredentialsTypically pursuing or holding a degree in applied sciences, engineering, or related fieldsUsually students or recent graduates in science, engineering, or related disciplines
Work EnvironmentHands-on, practical projects in labs, manufacturing, or industry settingsLaboratory, academic, or theoretical research environments
Employer & Industry UsageIndustries like manufacturing, technology, and engineering firmsUniversities, research institutes, and R&D departments

Applied Science Interns focus on applying scientific principles to real-world projects within industry settings, while Research Interns typically work on theoretical or experimental research in academic or research institutions. Both roles require a background in science or engineering but differ mainly in their work environment and project focus.

What types of projects do applied science interns typically work on, and how much independence is expected?

Applied Science Interns usually contribute to research-driven projects that involve data analysis, algorithm development, or building prototypes to solve real business problems. While interns often collaborate closely with experienced scientists, they are also expected to take initiative, perform independent research, and present their findings to the team. Regular check-ins and mentorship are common, but you'll be encouraged to bring fresh ideas and drive small-scale experiments or analyses on your own. This balance of guidance and autonomy helps interns gain practical experience and prepares them for future full-time roles.

What is an applied science intern?

An applied science intern is a student or entry-level professional who works in practical scientific environments to gain experience applying scientific principles, often using tools like data analysis software or laboratory equipment. The role typically involves supporting research projects, conducting experiments, and developing technical skills relevant to the field of applied science.
What are the most commonly searched types of Applied Science jobs in California? The most popular types of Applied Science jobs in California are:
What are popular job titles related to Applied Science Intern jobs in California? For Applied Science Intern jobs in California, the most frequently searched job titles are:
What job categories do people searching Applied Science Intern jobs in California look for? The top searched job categories for Applied Science Intern jobs in California are:
What cities in California are hiring for Applied Science Intern jobs? Cities in California with the most Applied Science Intern job openings:
Applied Science Intern jobs near you

Applied Data Science Intern

Evolver

Palo Alto, CA

Full-time, Internship

Re-posted 23 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.

Apply