Data Science Intern, Enterprise AI (Summer 2027)

C3 AI; Redwood City (CA); Hybrid; USD 89,000 - 112,000; Full time

Benefits offered by this job

Catered lunches

On-site gym

Biweekly social events

Job summary

C3 AI is seeking Data Scientist interns for Summer 2027 to help build AI-powered enterprise applications on the Agentic AI Platform. You will collaborate with data scientists, AI engineers, and domain experts to define analytics capabilities and apply ML models at scale.

Qualified candidates should have deep knowledge of AI techniques, time-series and generative AI, and experience with Python/R. This internship offers exposure to large-scale deployments and industry-specific use cases.

Qualifications

• Pursuing MS or PhD in Computer Science, Electrical Engineering, Statistics, or equivalent field.
• Applied ML, Generative AI, and Agentic AI experience (regression and classification, supervised, and unsupervised learning).
• Familiarity with foundation models and their enterprise applications.
• Experience with prototyping languages such as Python and R.

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 leverage new data elements.

Skills

Applied ML

Generative AI

Agentic AI

Python

R

Mathematics

Distributed ML

English

Education

MS or PhD in CS/EE/Statistics

Tools

Python

R

Job description

C3 AI is seeking Data Scientist interns for Summer 2027 to help build AI-powered enterprise applications on the Agentic AI Platform. You will collaborate with data scientists, AI engineers, and domain experts to define analytics capabilities and apply ML models at scale.

Qualified candidates should have deep knowledge of AI techniques, time-series and generative AI, and experience with Python/R. This internship offers exposure to large-scale deployments and industry-specific use cases.