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Cost & Asset Optimization - Data Science Analyst Intern - Poughkeepsie, NY - 2027

IBM

POUGHKEEPSIE, NY · HybridInternshipSeen 1w agoSeen in employer's feed 1w ago

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At a glance

Compensation
No compensation found
Location
POUGHKEEPSIE, NYHybrid
Role Type
Internship
Work Authorization
Not specified

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Requirements

Credentials this posting asks for.

Bachelor's degree

Job overview

The intern will learn IBM's Infrastructure portfolio and collaborate with cross‑functional teams to apply data science, agile practices and design thinking for optimizing cash flow and asset recovery within the Cost & Asset Optimization team.

Skills & qualifications

RequiredNice to have

Skills

Agile PracticesDesign ThinkingWritten CommunicationVerbal CommunicationProblem SolvingBusiness AnalysisAutomationAI ToolsCloud TechnologiesStakeholder Communication

Qualifications

Bachelor's Degree in Data Science/IT/Computer Science/EngineeringAbility to Work Three Days From the Office

Full job description

Introduction

Are you excited to learn about IBM's Infrastructure product portfolio and optimize process along side cross-functional teams? If so, this is a great opportunity to leverage data science, agile practices and design thinking to understand IBM brands and learn how to optimize cash flow through Global Asset Recovery within our Cost & Asset Optimization team.

Your role and responsibilities

Collaborate with cross-functional teams (product management, supply chain, procurement, development, engineering and finance).

Analyze competitors, market trends and industry standards.

Optimize and improve process through use of automation and AI tools.

Required technical and professional expertise

Bachelor's Degree in Data Science/IT/Computer Science/Engineering

Exposure to agile practices and design thinking

Strong written and verbal communication skills

Problem solving and business analysis skills

Ability to work three days from the office

Preferred technical and professional experience

Exposure to Cloud & Technology, Technical expertise

Ability to communicate with stakeholders

Exposure to process optimization leveraging AI tools

IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

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