Apprentice Data Quality & Analytics Engineer (Naval Architecture)

YOUR ROLE

Within the Data & Digital division, you will join a project team specialising in vessel performance data. Your mission: transform isolated naval architecture data (model tests, CFD, shop tests and sea trials) into a centralised global database — the Group’s single source of truth — reporting directly to the Project Owner.

WHAT WILL YOU DO?

• 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