Data Scientist – Predictive Maintenance & Condition Monitoring

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Description

On behalf of one of its clients in Industrial technology solutions, the French Chamber of Commerce in Singapore is seeking an experienced Data Scientist with proven experience in data science and engineering to develop AI/ML solutions for predictive maintenance and condition monitoring of industrial equipment. The ideal candidate will work with high-frequency sensor data, particularly vibration signals, to develop machine learning models that detect anomalies, diagnose faults, estimate remaining useful life (RUL), and improve asset reliability. Responsibilities Analyze vibration signals from rotating machinery (e.g., bearings, gearboxes, pumps, and compressors) using industrial sensing solutions. Perform feature extraction and signal analysis in the time, frequency, and time-frequency domains. Develop, deploy, and optimize AI/ML models for predictive maintenance, condition monitoring, anomaly detection, failure prediction, and Remaining Useful Life (RUL) estimation. Evaluate emerging technologies, startups, and foundation model solutions relevant to industrial AI, predictive maintenance, and condition monitoring, assessing their technical capabilities. Lead and manage vibration-based predictive maintenance projects as the technical focal point, overseeing the full project lifecycle from initiation and deployment to business value realization, in close collaboration with nominated subcontractors and system integrators. Requirements Bachelor’s/Master’s/PhD degree in Computer

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