Maritime Digital Performance Intern — Marseille Data & AI

CMA CGM

Marseille

On-site

EUR 5,000 - 8,400

Full time

9 days ago

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Job summary

CMA CGM invites final-year engineering or Master’s students to join the Maritime Digital Performance Intern team at the Marseille head office. You will work within the Research & Development Department to build digital solutions that enhance vessel performance, energy efficiency and equipment reliability, using real fleet data.

You will collaborate with marine engineers, data scientists and developers to analyze data, develop AI-powered tools, and contribute to Smartship and Digital Twin

Qualifications

  • Final-year engineering student or Master’s student in Marine Engineering, Mechanical Engineering, Naval Architecture, Energy Engineering or related field.
  • Strong Python and SQL basics; advanced Generative AI tools; familiarity with onboard systems and marine propulsion.

Responsibilities

  • Analyze vessel operational and technical data from sensors, telemetry and IoT devices.
  • Develop data-processing and analytics solutions in Python and SQL; apply Generative AI to engineering analysis.
  • Contribute to Smartship and Ship Digital Twin programs and support propulsion and fuel-efficiency studies.
  • Document findings; create reports, dashboards and presentations for engineers and stakeholders.

Skills

Python
SQL
Generative AI
Marine engineering basics
IoT systems
Data visualization
Machine learning

Education

Final-year engineering student
Master’s student

Job description

CMA CGM invites final-year engineering or Master’s students to join the Maritime Digital Performance Intern team at the Marseille head office. You will work within the Research & Development Department to build digital solutions that enhance vessel performance, energy efficiency and equipment reliability, using real fleet data.

You will collaborate with marine engineers, data scientists and developers to analyze data, develop AI-powered tools, and contribute to Smartship and Digital Twin

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