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Applied Science Intern Jobs in California (NOW HIRING)

C3 AI

Data Science - Intern (Summer 2027)

Redwood City, CA · On-site

$8.0K - $10K/mo

C3 AI C3 AI is seeking Data Scientist interns to join us during our Summer 2027 internship program ... Applied Machine Learning, Generative AI, and Agentic AI experience (regression and classification ...

Stryker

$35/hr

Opportunities Available As a Real-World Evidence Data Science intern at Stryker, you will: * Work ... Coursework or applied project experience with observational/real-world data (claims, EHR, or ...

New

Stryker

$35/hr

Opportunities Available As a Real-World Evidence Data Science intern at Stryker, you will: * Work ... Coursework or applied project experience with observational/real-world data (claims, EHR, or ...

New

Stryker

$35/hr

Opportunities Available As a Real-World Evidence Data Science intern at Stryker, you will: * Work ... Coursework or applied project experience with observational/real-world data (claims, EHR, or ...

New

Stryker

$35/hr

Opportunities Available As a Real-World Evidence Data Science intern at Stryker, you will: * Work ... Coursework or applied project experience with observational/real-world data (claims, EHR, or ...

New

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Applied Science Intern information

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 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 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 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 are the most commonly searched types of Applied Science jobs in California?

The most popular types of Applied Science 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

Data Science - Intern (Summer 2027)

C3 AI

Redwood City, CA • On-site

$8.0K - $10K/mo

Full-time, Temporary, Internship

Posted 5 days ago

Job description

C3 AI (NYSE: AI), is the Enterprise AI application software company. C3 AI delivers a family of fully integrated products including the C3 Agentic AI Platform, an end-to-end platform for developing, deploying, and operating enterprise AI applications, C3 AI applications, a portfolio of industry-specific SaaS enterprise AI applications that enable the digital transformation of organizations globally, and C3 Generative AI, a suite of domain-specific generative AI offerings for the enterprise. Learn more at: C3 AI
C3 AI is seeking Data Scientist interns to join us during our Summer 2027 internship program.
As a member of the C3 AI Data Science team, you will work with some of the largest companies on the planet helping them build the next generation of AI-powered enterprise applications on the C3 Agentic AI Platform (c3.ai/customers/). You will work directly with data scientists, AI engineers, and subject matter experts in the definition of new analytics capabilities in order to provide our customers with the information they need to make proper decisions and enable their digital transformation. You will help find the appropriate AI/machine learning algorithms to answer those questions and implement them on the C3 Agentic AI Platform so they can run at scale.
Qualified candidates will have an in-depth knowledge of most common AI, machine learning, and agentic AI techniques and their application. Also, you will understand the limitations of these algorithms and how to tweak them or derive from them to achieve similar results at large-scale.
Responsibilities:
  • Drive adoption of AI and agentic AI systems into the next generation of C3 AI products
  • Design and deploy Machine Learning algorithms for industrial applications such as fraud detection and predictive maintenance
  • Collaborate with data and subject matter experts from C3 AI and its customer teams to seek, understand, validate, interpret, and correctly use new data elements

Qualifications:
  • Pursuing MS or PhD in Computer Science, Electrical Engineering, Statistics, or equivalent field
  • Applied Machine Learning, Generative AI, and Agentic AI experience (regression and classification, supervised, and unsupervised learning)
  • Familiarity with foundation models and their application to enterprise use cases
  • Experience with prototyping languages such as Python and R
  • Strong mathematical background (linear algebra, calculus, probability, and statistics)
  • Experience with scalable ML (distributed computing, cloud-native, streaming)
  • Ability to drive a project and work both independently and in a team
  • Smart, motivated, can-do attitude, and seeks to make a difference
  • Proficient in spoken and written English

Preferred Qualifications:
  • Experience with JavaScript and Java
  • Experience with time series and dynamical systems
  • A portfolio of projects (GitHub, papers, etc.)

C3 AI provides excellent benefits and a competitive compensation package, which include:
  • Salary range: $8,000 - $10,000 USD per month.

At the office, we offer a fully stocked kitchen with catered lunches, a free on-site gym membership, biweekly social hour with food, drinks, music, and plenty of opportunities to connect and network with your team.
C3 AI is proud to be an Equal Opportunity and Affirmative Action Employer. We do not discriminate on the basis of any legally protected characteristics, including disabled and veteran status.

Apply