Stage Fiabilité en Gestion des Actifs - F/H
Core
Build calculated demonstrations and educational tools to illustrate alignment between performance objectives and decision criteria in asset management, specifically for critical infrastructure maintenance and renewal strategies.
Role type
Junior IC data scientist / reliability engineer (asset management)
Builds
Python notebooks, pedagogical notes, and presentation slides for internal training and committee use.
Domain
Energy grid operations + quantitative risk assessment (QRA) + asset management
Deliverable
production ML models | dashboards & analysis | research
Required skills
Python (Jupyter, pandas, numpy, matplotlib), quantitative reasoning, reliability/statistics, economic evaluation, data modeling
Preferred skills
Survival analysis, decision theory under uncertainty, risk matrix construction
Technologies
Python, Jupyter, ReLife, Cosmo Tech Asset simulator
Responsibilities
Construct case studies linking performance targets to decision criteria; calculate optimal vs. constrained maintenance strategies; model rare high-consequence events; demonstrate the value of improved knowledge models (QRA) over simple risk matrices.
Seniority
Junior, hands-on IC