Data Science & MLOps Internship Summer 2026

CCC Intelligent Solutions•Chicago, IL

1d•$20 - $43

About The Position

CCC Intelligent Solutions Inc. (CCC) is a leading cloud platform for the multi-trillion-dollar insurance economy, creating intelligent experiences for insurers, repairers, automakers, part suppliers, and more. At CCC, we’re making life just work by empowering more than 35,000 businesses with industry-leading technology to get drivers back on the road and to health quickly and seamlessly. We’re pushing boundaries with innovative AI solutions that simplify and enhance the claims and repair journey. Through purposeful innovation and the strength of its connections, CCC technologies empower the people and industry relied upon to keep lives moving forward when it matters most. Learn more about CCC at www.cccis.com. The Role As a member of our CSO & Innovation team at CCC, you will gain hands-on experience working with cutting-edge technologies in software engineering, machine learning, and MLOps. Our team focuses on building tools, services, and automation solutions to improve the efficiency, performance, and scalability of AI-driven applications. This internship position for the summer of 2025 reports directly to the Chief Science Officer and will focus on researching, prototyping, and optimizing technologies that enhance the faster penetration of AI-based solutions in the market. The ideal candidate should be in a Ph.D. program, self-driven, and capable of conducting independent investigations and making strategic recommendations.

Requirements

In order to be considered for this role you are required to be in pursuit of an Associate, Bachelor's or Master's throughout your internship.
Currently enrolled in a Bachelors, Masters, or Ph.D. program in Computer Science, Data Science, AI, or a related technical field.
Self-driven with strong analytical and problem-solving skills, capable of independent research and recommendations.
Experience in software development with proficiency in programming languages such as Python, Go, Java, or JavaScript.
Familiarity with machine learning, deep learning, and statistical modeling techniques.
Understanding of Linux systems, bash scripting, and version control (Git).

Nice To Haves

Experience with Kubernetes, Terraform, Pulumi, Ansible, or similar DevOps tools is a plus.
Ability to interpret, visualize, and communicate complex data insights to a non-technical audience.
Strong problem-solving skills and ability to work collaboratively in a team environment.

Responsibilities

Participate in the full lifecycle of software development, from design and implementation to testing and deployment.
Research, prototype, and optimize potential AI-based solutions to accelerate adoption in the industry.
Build and optimize machine learning models for real-world applications, particularly in the auto-insurance industry.
Implement automation for deploying and monitoring machine learning applications.
Develop dashboards and user interfaces for internal tools and models.
Conduct data exploration, visualization, and storytelling to derive meaningful insights.
Research and integrate the latest MLOps and DevOps tools to improve AI workflows.
Work with various teams, including Database, Middleware, Network, and Server teams, to deploy and maintain applications.
Apply deep learning techniques to analyze claim image data and predict repair or replacement needs.
Ensure scalability and efficiency of machine learning models while meeting business requirements.