AI-Driven Intern: Hydrogen Tech & Cost Modeling

Baker Hughes Company; Firenze; In loco; EUR 6700 - 11.000; Tempo pieno

Vantaggi offerti da questo lavoro

Mentor support

Hands-on projects

Descrizione del lavoro

Baker Hughes Internship in Italy offers students or recent graduates hands-on experience developing cost models for green hydrogen technologies. You will work at the intersection of engineering, market intelligence, and AI.

You’ll be mentored by a buddy and manager, gain coaching, and contribute to techno-economic analyses, dashboards, and supplier benchmarking in a multidisciplinary environment.

Competenze

• Strong analytical and problem-solving skills.
• Familiarity with AI/ML tools and data analysis (e.g., Python).
• Fluent in English (oral and written).
• Interest in technology benchmarking, cost intelligence, and supplier landscape analysis.

Mansioni

• Support the development of cost models for new and advanced technologies using AI/ML techniques.
• Analyze CAPEX/OPEX drivers, materials, and manufacturing processes.
• Assist in data collection, structuring, and integration into digital tools.
• Monitor, analyze, and benchmark technology offerings, cost structures, and performance claims of manufacturers and key suppliers.
• Track market trends, technology roadmaps, and supplier strategies to support techno-economic assessments and design choices.
• Collaborate on technology development, including performance, design, and scalability aspects.
• Contribute to reporting, dashboards, competitive assessments, and technical documentation.

Conoscenze

Analytical skills

AI/ML familiarity

Python data analysis

English fluency

Formazione

Master’s degree in Engineering/Management

Strumenti

Python

Descrizione del lavoro

Baker Hughes Internship in Italy offers students or recent graduates hands-on experience developing cost models for green hydrogen technologies. You will work at the intersection of engineering, market intelligence, and AI.

You’ll be mentored by a buddy and manager, gain coaching, and contribute to techno-economic analyses, dashboards, and supplier benchmarking in a multidisciplinary environment.