Key skills
NumpyPandasPythonScikit-LearnAIscikit-learnNumPy
About this role
Role Overview
- 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
Requirements
- 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
Tech Stack
- Numpy
- Pandas
- Python
- Scikit-Learn
Benefits
- Health insurance
- Flexible working arrangements
- Professional development opportunities