Intern – Technology - AI & Data Science

Technology – AI & Data Science - Intern

Kroll is a global leader in Risk and Financial Advisory services, operating at the intersection of data, technology, and complex decision-making. We are seeking a high-performing Data Engineering Intern to help build and scale the data infrastructure that powers analytics, automation, and AI across the firm. This role is for candidates who want real engineering responsibility, not shadow work. You will design and implement production-grade data pipelines, work with cloud-native tooling, and partner with senior engineers and data scientists on systems that matter.

At Kroll, your work will help deliver clarity to our clients’ most complex governance, risk, and transparency challenges. Apply now to join One team, One Kroll.

RESPONSIBILITIES:

Collaborate with cross-functional teams to understand business needs and provide data-driven insights.

Explore and experiment with new use cases, frameworks, and tools to enhance AI capabilities.

Support the deployment and monitoring of AI Solutions in production environments.

Conduct research on emerging trends in data science and AI to stay updated with industry advancements.

Prepare reports and presentations to communicate findings and recommendations effectively.

REQUIREMENTS:

Currently pursuing a degree in Computer Science, Software Engineering, Information Systems, Data Engineering, or a closely related technical field

Graduation date between December 2026 and September 2027

Knowledge of data visualization tools such Power BI.

Understanding of statistical methods, data structures, and algorithms.

Excellent analytical, problem-solving, and communication skills.

Ability to work both independently and as part of a team in a fast-paced environment.

Familiarity with cloud platforms (AWS, GCP, Azure) and big data technologies is a plus.

Prior experience with AI/ML projects through coursework, personal projects, or previous internships.

Experience with version control systems such as Git.