HSE Digital
Pubblicato il 06-10-2026 - Elisa Industriq France in Milano
Join Saipem and engineer a sustainable future.
We are a global leader in engineering and construction for the energy and infrastructure sectors, delivering complex onshore and offshore projects worldwide. Driven by technological innovation as “One Company”, our 30,000 people from over 130 nationalities in more than 50 countries work every day to enable the energy transition toward Net Zero. At Saipem, we embrace diversity as a driver of innovation and inclusion, while prioritizing people’s safety and environmental sustainability, even in the most challenging conditions.
Purpose of the position: As an HSE Digital & AI Intern, you will join the QHSE R&D; team and support the development and adoption of digital and Artificial Intelligence solutions for Health, Safety and Environment activities.
How can you support us?
- Support the identification and analysis of HSE processes and needs that could agevolazioni from digital and AI solutions.
- Contribute to the development and testing of AI use cases, digital tools and simple agents, including prompt design,
knowledge-source preparation and output validation.
- Assist in collecting, organizing and analysing HSE data, preparing reports, presentations and concise dashboards to support informed decision-making.
- Collaborate with HSE specialists, Digital teams and other stakeholders to document requirements, test solutions and gather user feedback.
- Support responsible AI adoption by contributing to user guidance, training materials and awareness initiatives, with attention to data quality, privacy and human oversight.
What are we looking for?
Education: Bachelor's or Master's Degree in Environmental Engineering, Safety Engineering, Computer Science, Data Science, Digital Innovation, Management Engineering or a related field.
Background: No previous professional experience is required. University projects, thesis work, extracurricular activities or a previous internship related to HSE, digital transformation, data analysis or A