AI Data Harness Intern – Planning & Analytics

micron; Marigot; On-site; EUR 14,000 - 21,000; Full time

Job summary

Micron Technology, Inc. invites applications for a six-month full-time internship to develop an AI-enabled data harness for product-ramp and resource planning.

You will integrate data from multiple planning sources, build analytical views, and apply AI techniques to enhance planning visibility and scenario evaluation. The role offers hands-on experience in data engineering, AI, and business analytics within a semiconductor R&D environment, with opportunities for full-time employment based on

Qualifications

• Pursuing a Bachelor’s or Master’s degree in Computer Science, Data Science, AI, Business Analytics, Industrial Engineering, Engineering, or a related field.
• Proficiency in Python and SQL; data analytics skills are required.
• Familiarity with Generative AI concepts, LLMs, retrieval-augmented generation, and prompt-engineering is desirable.
• Experience with data visualization tools (Power BI or Tableau) and cloud AI/data platforms is advantageous.

Responsibilities

• Develop an AI-enabled data harness prototype for product-ramp and resource planning.
• Integrate data from multiple business-planning sources and create analytical views.
• Apply AI techniques to improve planning visibility, traceability, and scenario evaluation.
• Document methodology, findings, limitations, and recommendations for future work.

Skills

Python

SQL

Data analytics

Generative AI

Prompt engineering

Education

Bachelor’s/Master’s in CS/AI/Data Science/Analytics/Engineering

Tools

Power BI

Tableau

Azure AI

Databricks

Microsoft Fabric

Job description

Micron Technology, Inc. invites applications for a six-month full-time internship to develop an AI-enabled data harness for product-ramp and resource planning.

You will integrate data from multiple planning sources, build analytical views, and apply AI techniques to enhance planning visibility and scenario evaluation. The role offers hands-on experience in data engineering, AI, and business analytics within a semiconductor R&D environment, with opportunities for full-time employment based on