CIO Data & AI Analyst Intern

Kyndryl•Rye Brook, NY

2d•$30 - $30•Hybrid

About The Position

At Kyndryl, we design, build, manage and modernize the mission-critical technology systems that the world depends on every day. So why work at Kyndryl? We are always moving forward – always pushing ourselves to go further in our efforts to build a more equitable, inclusive world for our employees, our customers and our communities. The Role Who We Are At Kyndryl, we run and reimagine the mission-critical technology systems that drive advantage for the world’s leading businesses. We are at the heart of progress—combining proven expertise with a continuous flow of AI-powered insights to enable smarter decisions, faster innovation, and lasting competitive advantage. For our people—Kyndryls—that means doing purposeful work that powers human progress. Join us and experience a flexible, supportive environment where your well-being is prioritized and your potential can thrive. The Role Are you ready to launch your career at the intersection of data, cloud, and AI with a global technology leader? As a CIO Data Analyst Intern at Kyndryl, you’ll help transform how we use data and AI across our internal organization. Building insights, automating processes, and supporting the AI-powered solutions that drive our modern enterprise. Who You Are You’re a curious, early career data enthusiast who’s excited to learn how data, analytics, automation, and AI come together inside a world-class IT organization. You may not be an expert yet—but you’re eager to explore new tools, experiment with AI, and grow quickly in a supportive global team. Who You Are Program Overview As an intern, you will spend 10–12 weeks working on challenging, high-visibility projects. This position is primarily hybrid. What Interns Can Expect · Opportunities to learn from senior leaders, while building a network of peers · Professional networking & brand development · Working side by side with full-time employees on real client work · Mentorship Opportunities · Workshops and access to industry accredited education & certifications · FUN!

Requirements

Are pursuing a degree or have equivalent experience in data science, analytics, computer science, information systems, engineering, or a related field.
Have an interest in how AI, low-code agents, and automation are reshaping data analytics—spanning intelligent dashboards, predictive insights, and process orchestration
Have foundational knowledge and or Interest in areas like data analysis, statistics, data modeling, visualization, or scripting.
Enjoy working with data—cleaning it, analyzing it, building dashboards, or identifying patterns that inform decisions.
Communicate clearly — simplifying complex findings so others can act, especially as we expand AI adoption and help teams use it effectively.
Bring a growth mindset, ask questions, and enjoy experimenting and iterating
Value inclusion, collaboration, and teamwork, and believe diverse perspectives drive innovation