Internship - Maritime Digital Performance Intern - R&D H/F

Cmacgm; Marseille; Vor Ort; EUR 10.000 - 15.000; Vollzeit

Zusammenfassung

CMA CGM invites final-year engineering or master’s students to join its Performance Team in Marseille for a six-month end-of-studies internship. You will work with marine engineers, data scientists, developers and operational experts to build digital solutions that improve vessel performance, energy efficiency and equipment reliability.

You will analyze fleet data, develop Python/SQL analytics, apply Generative AI tools, and contribute to Smartship and Ship Digital Twin programs while gaining

Qualifikationen

• Final-year engineering student or Master's student in Marine Engineering, Mechanical Engineering, Naval Architecture, Energy Engineering or related field.
• Good Python skills and basic to intermediate SQL
• Excellent command of Generative AI tools (ChatGPT, Claude, Copilot, etc.)
• Basic knowledge of marine propulsion, shipboard machinery and onboard electronic systems
• Knowledge of data visualization, machine learning or digital twins is a plus

Aufgaben

• Fleet data analysis: analyze vessel operational and technical data from sensors, monitoring systems, IoT devices and telemetry.
• Data & AI solutions: develop data-processing and analytics in Python and SQL; apply Generative AI tools to engineering analyses and knowledge management.
• Smartship & Ship Digital Twin: contribute to development programs in Smartship and Ship Digital Twin.
• Performance & reliability studies: support propulsion, machinery, fuel efficiency, emissions, equipment health studies and anomaly investigations.
• Reporting & collaboration: document findings and prepare reports, dashboards and presentations with engineers, data scientists, developers and operational experts

Kenntnisse

Python

SQL

Generative AI tools

Data visualization

Machine learning

Digital twins

Ausbildung

Final-year engineering student or Master's student

Jobbeschreibung

YOUR ROLE

As part of your studies, you are currently looking for an end-of-studies internship (final-year engineering student or Master's in Marine Engineering, Mechanical Engineering, Naval Architecture, Energy Engineering or a related field).

You will join the Performance Team of CMA CGM's Research & Development Department, which develops advanced technologies and digital solutions for the fleet and the business. The team leads initiatives such as Smartship and Ship Digital Twin, using data, AI and engineering expertise to improve vessel operations and decision-making.

You will help build digital solutions that improve vessel performance, energy efficiency and equipment reliability. Working with real operational and technical fleet data, you will be at the crossroads of marine engineering, data analytics, IoT and artificial intelligence, alongside marine engineers, data scientists, developers and operational experts.

WHAT WILL YOU DO?

• Fleet data analysis: You will analyze vessel operational and technical data, and explore data from onboard sensors, electronic monitoring systems, IoT devices and telemetry.
• Data & AI solutions: You will develop data-processing and analytics solutions in Python and SQL, and apply Generative AI tools to engineering analysis, knowledge management and operational use cases.
• Smartship & Ship Digital Twin: You will contribute to the development of the Smartship and Ship Digital Twin programs.
• Performance & reliability studies: You will support studies on propulsion, machinery, fuel efficiency, emissions and equipment health, and investigate anomalies.
• Reporting & collaboration: You will document your findings and prepare reports, dashboards and presentations, working closely with marine engineers, data scientists, developers and operational experts.

WHO ARE WE LOOKING FOR?

• Education: Final-year engineering student or Master's student in Marine Engineering, Mechanical Engineering, Naval Architecture, Energy Engineering or a related field.
• Technical skills:
• Good Python skills and basic to intermediate SQL
• Excellent command of Generative AI tools (ChatGPT, Claude, Copilot, etc.)
• Basic knowledge of internal combustion engines, marine propulsion and shipboard machinery
• Basic familiarity with onboard electronic systems, sensors, IoT devices and performance-monitoring architectures
• Knowledge of data visualization, machine learning or digital twins is a plus

• Languages: Fluent professional English.
• Personal qualities: Straightforward, pragmatic and solution-oriented; well organized and structured, you communicate clearly. Curious and proactive, you are comfortable in a multidisciplinary, international environment.

JOB ENVIRONMENT

• Location: Head Office - Marseille
• Duration: 6 months
• Internship start date: January

Come along on CMA CGM's adventure