Data Science Analyst Intern

Job Description

Are you excited to learn about IBM's Infrastructure product portfolio and optimize processes alongside 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.

Collaborate with cross-functional teams (product management, supply chain, procurement, development, engineering, and finance). Analyze competitors, market trends, and industry standards. Optimize and improve processes through the use of automation and AI tools.

Qualifications

• Bachelor's Degree in Data Science, IT, Computer Science, or 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
• Exposure to Cloud & Technology, technical expertise
• Ability to communicate with stakeholders
• Exposure to process optimization leveraging AI tools