Applied Data Science Intern

About the role

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