Apprentice Data Quality & Analytics Engineer (Naval Architecture)

Led by Rodolphe Saadé, the CMA CGM Group, a global leader in shipping and logistics, serves more than 420 ports around the world on five continents. With its subsidiary CEVA Logistics, a world leader in logistics, and its air freight division CMA CGM AIR CARGO, the CMA CGM Group is continually innovating to offer its customers a complete and increasingly efficient range of new shipping, land, air and logistics solutions.

Committed to the energy transition in shipping, and a pioneer in the use of alternative fuels, the CMA CGM Group has set a target to become Net Zero Carbon by 2050.
Through the CMA CGM Foundation, the Group acts in humanitarian crises that require an emergency response by mobilizing the Group’s shipping and logistics expertise to bring humanitarian supplies around the world.

Present in 160 countries through its network of more than 400 offices and 750 warehouses, the Group employs more than 155,000 people worldwide, including 4,000 in Marseilles where its head office is located.

YOUR ROLE

Data is at the heart of CMA CGM Group’s digital transformation. Every day, millions of data flows transit through our systems to drive one of the world’s most complex logistics chains.

Within the Data & Digital division, the Data Quality Officer apprentice helps ensure the reliability, consistency and governance of the data that feeds our management and decision-making tools.

A stimulating environment at the crossroads of data, operations and technology — for those who want to make sense of numbers and build the foundations of a global group in full transformation.

Reporting to the Data Quality Manager, your mission is to identify, analyse and correct anomalies in our databases, while contributing to the implementation of data governance rules and processes.

WHAT WILL YOU DO?

As Data Quality Officer, at the heart of the CMA CGM Group’s digital transformation, your responsibilities are as follows:

• Centralise and integrate test reports (model tests, CFD) into a global database
• Ensure data integrity: detect anomalies, correct errors, and fill in missing data
• Automate quality reporting and data pipelines through scripting
• Cross-reference theoretical results with real sensor data from vessels
• Conduct predictive regression analyses to estimate performance for other vessel series
• Leverage AI tools to automate and enrich data analysis

WHO ARE WE LOOKING FOR?

Required

• Master’s or Engineering degree (Bac+5) in Naval Architecture, Maritime Engineering, Data Science or Computer Science
• Solid foundations in ship hydrodynamics, model testing and CFD principles
• Proficiency in Python (pandas, NumPy, scikit-learn) for data manipulation and automation
• Analytical mindset, rigour and strong attention to detail
• Fluent English, written and spoken

Desirable

• Interest in AI / Machine Learning applied to predictive modelling and regression analysis
• Proficiency in SQL and relational databases
• Knowledge of BI and data visualisation tools (Power BI, Tableau)
• First experience in data management or vessel performance analysis

Come along on CMA CGM’s adventure !