Job Description Summary

Job Description

The AI Sourcing & Transformation Intern will support the GE Vernova Headquarters Sourcing Operations Team in executing the transformation agenda, partnering with Direct and Indirect Sourcing teams across GE Vernova businesses, as well as Digital, Analytics, and AI teams. This role is designed for individuals with a strong interest in artificial intelligence and its practical application in a business environment, combined with a structured and hands-on approach to execution. The intern will contribute to both project execution and the independent development of smaller-scale solutions, supporting the implementation and adoption of AI-enabled tools that improve decision-making, risk visibility, and sourcing performance. This is a high-exposure opportunity to gain experience on enterprise-level initiatives, while building a strong foundation at the intersection of AI, sourcing, digital and transformation.

Job Description

Key Responsibilities

• Provide project management support across multiple transformation initiatives, including tracking actions, timelines, dependencies, and deliverables

• Develop structured materials such as project plans, process maps, and implementation roadmaps to support execution

• Build and maintain dashboards and tracking tools to improve visibility into progress, priorities, and outcomes

• Independently support and execute small-scale proof-of-concept initiatives, applying AI tools and techniques to solve practical business problems

• Assist in identifying, structuring, and evaluating AI use cases, including assessing value, feasibility, and scalability

• Support the development and deployment of AI-enabled tools and workflows, including intake processes, automation, and decision-support solutions

• Help drive adoption of AI solutions across the team by supporting communication, user guidance, and day-to-day enablement

• Collaborate with sourcing, engineering, finance, and operations teams to support delivery of key initiatives

• Support preparation of materials for leadership reviews, workshops, and working sessions

Success Measures

• Strong support of project execution across multiple initiatives

• Delivery of well-structured, high-quality outputs (analytical, project, and transformation-related)

• Successful execution of small-scale AI-driven solutions or proof-of-concepts

• Contribution to increased adoption and practical use of AI tools within the team

• Improved visibility into progress, priorities, and business impact

Who We Are Looking For

This role is ideal for individuals who combine interest in artificial intelligence with strong structure, curiosity, and ownership, and who are motivated to grow into future roles within sourcing, analytics, or transformation.

You bring:

• Strong interest in artificial intelligence, data analytics, and digital transformation

• Ability to learn quickly and apply new tools, including experimenting, iterating, and improving solutions

• Structured thinking and ability to break down complex problems into clear steps

• Proactive mindset with strong ownership and willingness to take initiative

• Interest in sourcing, supply chain, or operations within a global industrial environment

• Strong collaboration and communication skills

Qualifications

• Currently pursuing or recently completed a Bachelor’s or Master’s degree in:

• Data Science / Artificial Intelligence

• Engineering

• Supply Chain / Operations

• Finance / Business

• or a related field

• Exposure to or experience with:

• Artificial intelligence tools and concepts (e.g., prompt engineering, language models, automation tools)

• Data analysis or data science fundamentals

• Digital tools and platforms supporting analytics or process improvement

• Experience or familiarity with:

• Excel (mandatory)

• Data visualization or analytics tools (preferred)

• Python or similar programming language – strong advantage

• Strong analytical and problem-solving skills

• Fluent in English

Additional Information

• Location: Milan, Italy (Primary)
• Other locations: Madrid, Spain / Prague, Czech Republic / Budapest, Hungary

Please note that in Hungary we can only consider students with an ACTIVE student status.
• Work setup: Hybrid

• Duration: 6 -12 months

• Start date: As soon as possible

• Relocation assistance: Not provided

Additional Information