Data Scientist Intern – Client Innovation Center (Entry Level) 2026 jobs in United States
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IBM · 17 hours ago

Data Scientist Intern – Client Innovation Center (Entry Level) 2026

IBM is seeking a Data Scientist Intern for their Client Innovation Center, where interns will collaborate with data scientists and consultants to support analytics and AI-enabled solutions. This role focuses on hands-on exposure to data analysis and machine learning concepts, aimed at building analytical skills in a professional consulting environment.

Business DevelopmentBusiness Information SystemsCRMData ManagementFoundational AISoftware
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Growth Opportunities
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Responsibilities

Support data analysis and modeling activities under the guidance of experienced data scientists and consultants
Assist with gathering, cleaning, and preparing data for analysis and modeling
Contribute to exploratory data analysis and basic statistical or machine learning techniques
Help evaluate model results and document findings
Support the development of simple data pipelines or analytical workflows using programming languages such as Python
Assist in communicating analytical insights to technical and non-technical team members
Learn how analytics, AI, and automation are applied within client delivery environments
Build analytical and professional skills through mentorship, training, and hands-on project work

Qualification

Data analysisMachine learningPythonStatistical modelingData manipulationAnalytical skillsProblem-solving skillsTeam collaborationLearning ability

Required

Strong interest in data science, analytics, machine learning, or AI
Analytical and problem-solving skills, with the ability to approach tasks using structured, logical thinking
Comfortable working onsite in a collaborative, team-based environment
Ability to work effectively in a technology-driven consulting environment where tools, platforms, and client needs evolve over time
Ability to learn new tools, techniques, and technologies in a delivery setting
Currently pursuing coursework in a quantitative or technical field such as Computer Science, Data Science, Mathematics, Statistics, Engineering, AI, or a related discipline
Coursework or hands-on experience using Python or another analytical programming language
Familiarity with basic concepts such as data manipulation, statistics, or algorithms through coursework, labs, or projects
High School Diploma or GED

Preferred

Currently pursuing a Bachelor's degree in Computer Science, Data Science, Mathematics, Statistics, Engineering, AI, or a related field
Exposure to data analysis, statistical modeling, or machine learning through academic projects, internships, hackathons, or research
Familiarity with common data science libraries (e.g., pandas, NumPy, scikit-learn, or similar)
Exposure to cloud or analytics platforms through coursework or labs
Interest in areas such as AI-enabled analytics, automation, or data-driven decision making
Experience working on team-based projects that involve data analysis or technical problem-solving

Company

IBM is an IT technology and consulting firm providing computer hardware, software, infrastructure, and hosting services.

Funding

Current Stage
Public Company
Total Funding
unknown
2011-01-14IPO

Leadership Team

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Alain Bénichou
Chief Executive Officer, IBM Greater China Group
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Alex Yang
CTO and Chief Architect
Company data provided by crunchbase