The Cost & Asset Optimization - Data Science Analyst Intern 2027 will join the Cost & Asset Optimization team to help optimize cash flow through Global Asset Recovery. This role involves collaborating with cross-functional teams including product management, supply chain, procurement, development, engineering, and finance. The intern will analyze competitors, market trends, and industry standards while improving processes through automation and AI tools. Required expertise includes a Bachelor's Degree in Data Science, IT, Computer Science, or Engineering, along with exposure to agile practices and design thinking. Candidates must possess strong written and verbal communication skills, problem-solving abilities, and business analysis skills. The role specifically addresses the technical challenge of optimizing infrastructure product portfolios and improving internal processes using AI tools and cloud technology.
IBM Z
LinuxONE
Hybrid Cloud
Containerization
AI
Data Science
Networking
Databases
Operating Systems
Agile
Project Management
Infrastructure Design
Metrics and Data Tracking
Hybrid Cloud
AI
Infrastructure
Agile Development
Product Lifecycle Management
Project Management
Data Science
Security
Automation
Financial Modeling
Service Design
Enterprise IT Services
Python
SQL
Databricks
Snowflake
AI
LLM
Prompt Engineering
Excel
Tableau
Power BI
APIs
Automation
Oracle Fusion
Oracle EPM
Data Visualization
Time Series
Statistical Modeling
Python
R
SQL
Pandas
Tidyverse
Machine Learning
Artificial Intelligence
Natural Language Processing
Time Series
Clustering
Computer Vision
Survival Analysis
Generative AI
Data Science
Statistics