Cost & Asset Optimization Data Science Analyst Intern

IBM

Confirmed live 2 days ago High trust

Hybrid

Quick summary

Work type: Hybrid
Location: Austin, TX
Employment: Intern
Posted: 14 days ago
Freshness: Confirmed live 2 days ago
Nearby: 99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $157k

$99k most similar roles pay here $213k

This listing doesn't post a salary. Most similar roles pay $111,510–$202,200.

Based on 240 similar postings.

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About IBM

IBM is a US-based global technology company providing hybrid cloud, AI, consulting, enterprise software, and IT infrastructure products and services.

IBM currently has 506 open roles on FindRole.

Listed pay typically runs $174,632–$197,165 across 5 roles with salary data.

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At a glance

TL;DR · Cost & Asset Optimization Data Science Analyst Intern

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Cost & Asset Optimization - Data Science Analyst Intern will join the Cost & Asset Optimization team to help optimize cash flow through Global Asset Recovery. Working within the infrastructure product portfolio, this role involves collaborating with cross-functional teams including product management, supply chain, procurement, development, engineering, and finance. The individual will analyze competitors, market trends, and industry standards while improving processes through the application of automation and AI tools. To succeed, the candidate must possess a degree in Data Science, IT, Computer Science, or Engineering. Required skills include experience with agile practices, design thinking, problem-solving, business analysis, and strong communication. The role specifically focuses on technical expertise in cloud and technology to solve problems related to infrastructure systems and process optimization using AI tools within the specific domain of asset recovery and cash flow management.

Skills

Data Science AI Cloud Computing Agile Design Thinking Process Optimization Automation Cloud

What you'll do

Optimize cash flow through Global Asset Recovery initiatives.
Analyze competitors, market trends, and industry standards.
Improve business processes using automation and AI tools.
Apply data science and agile practices to optimize infrastructure products.
Utilize design thinking to improve internal workflows and systems.
Perform business analysis to identify opportunities for cost and asset optimization.

What we're looking for

High School Diploma or GED is required.
A Bachelor's Degree in Data Science, IT, Computer Science, or Engineering is preferred.
Experience with agile practices and design thinking is required.
Strong written and verbal communication skills are required.
Problem solving and business analysis skills are required.
Ability to work three days from the office is required.
Exposure to Cloud & Technology and technical expertise are preferred.
Must be authorized to work without current or future visa sponsorship.

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