Data Science - Intern (Summer 2027)

Redwood City, California, United States · Internships · Employment Type: Intern

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 for this role

* indicates a required field

Upload a file
Or paste as text

Education

Can’t find your school? Choose “Other” from the list.

Please note this internship is for Summer 2027

Please note, majority of candidates should select "no." Speaking to us at a career fair is not part of this program. 

If yes, you can always opt-out by replying STOP.

Voluntary Self-Identification


For government reporting purposes, we ask candidates to respond to the below self-identification survey. Completion of the form is entirely voluntary. Whatever your decision, it will not be considered in the hiring process or thereafter. Any information that you do provide will be recorded and maintained in a confidential file.

As set forth in C3 AI’s Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.

If you believe you belong to any of the categories of protected veterans listed below, please indicate by making the appropriate selection. As a government contractor subject to the Vietnam Era Veterans' Readjustment Assistance Act (VEVRAA), we request this information in order to measure the effectiveness of the outreach and positive recruitment efforts we undertake pursuant to VEVRAA. Classification of protected categories is as follows:

A "disabled veteran" is one of the following: a veteran of the U.S. military, ground, naval or air service who is entitled to compensation (or who but for the receipt of military retired pay would be entitled to compensation) under laws administered by the Secretary of Veterans Affairs; or a person who was discharged or released from active duty because of a service-connected disability.

A "recently separated veteran" means any veteran during the three-year period beginning on the date of such veteran's discharge or release from active duty in the U.S. military, ground, naval, or air service.

An "active duty wartime or campaign badge veteran" means a veteran who served on active duty in the U.S. military, ground, naval or air service during a war, or in a campaign or expedition for which a campaign badge has been authorized under the laws administered by the Department of Defense.

An "Armed forces service medal veteran" means a veteran who, while serving on active duty in the U.S. military, ground, naval or air service, participated in a United States military operation for which an Armed Forces service medal was awarded pursuant to Executive Order 12985.

We use Greenhouse's AI-powered Talent Matching tool to compare your application against our job requirements.

Opt out of AI-based evaluation