Introduction About The Client Innovation Center (CIC) IBM Consulting Client Innovation Centers (CICs) are high-delivery, team-based environments where technologists work onsite to build real solutions for real clients.
At CIC, interns collaborate closely with data scientists, data engineers, and consultants to support analytics and AI-enabled solutions across industries. Our delivery centers are built for learning through delivery, combining hands-on project exposure, structured training, mentorship, and teamwork to help students build strong analytical foundations and prepare for early-career roles in data and consulting.
This role is ideal for individuals who enjoy working with data, learning analytical techniques, and collaborating in an in-person, team-based environment.
Your Role And Responsibilities The Data Scientist Intern role is a developmental, learning-focused position that provides hands-on exposure to data analysis, machine learning concepts, and analytics delivery in a professional consulting environment.
This role is not about owning models, designing enterprise AI systems, or being an expert on day one. It is about applying academic knowledge, learning how analytics is used to solve business problems, and supporting delivery teams with data-driven insights.
High-performing interns may be considered for conversion into IBM Consulting’s full-time Associate Data Scientist program based on performance and business needs.
As a Data Scientist Intern, You Will
Work Location & Onsite Expectations:
This internship role is based in an IBM Client Innovation Center (CIC) and requires regular onsite presence at the assigned delivery center. Working onsite enables hands-on learning, real-time collaboration, and mentorship that support faster growth and stronger delivery outcomes. Interns work in a collaborative, in-person team environment.
Work Authorization
Preferred Education Bachelor's Degree
Required Technical And Professional Expertise These qualifications are essential for success in the role.
Analytical and Learning Skills
Technical Foundation Skills
Education
Preferred
Preferred Technical And Professional Experience Preferred Skills (Nice-to-Haves):
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