Predictive Analytics Engineer, Electrical & Instrumentation

SEMBCORP UTILITIES SERVICES PTE. LTD.

Singapore

On-site

SGD 70,000 - 110,000

Full time

14 days+

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Job summary

SEMBCORP UTILITIES SERVICES PTE. LTD. in Singapore seeks an Electrical & Instrumentation Engineer to monitor plant equipment and optimise maintenance through condition monitoring, data analytics, and reliability engineering techniques.

You will identify failures early and implement preventive actions to ensure equipment health. Collaborating with maintenance engineers and technicians, you will develop recovery plans and drive AI analytics initiatives to prevent unplanned downtime across power

Qualifications

Degree in Electrical Engineering or Control and Instrumentation Engineering.
3 years of experience in a process plant environment (Utilities, Oil & Gas, Chemicals).
Experienced in condition monitoring, electrical equipment and control systems diagnostics.

Responsibilities

Monitor health and performance of plant equipment through condition monitoring technologies, data analytics and reliability engineering techniques.
Identify developing failures and recommend preventive or corrective measures.
From collected data or past history, optimise maintenance strategies and maintenance plans to improve equipment reliability and minimise unplanned downtime.
Work closely with maintenance engineers and technicians to develop equipment recovery plans based on condition monitoring findings.
Develop and own condition monitoring programmes for the plants, including developing the trends and analytics needed for visibility of equipment health.
Monitor and evaluate industry trends in condition monitoring technologies.
Work with relevant stakeholders on the development of AI analytics for spotting early warning signs of failure.
React to alerts from AI analytics, verify the alert and elevate as needed.
Support Root Cause Analysis or failure investigations through condition monitoring and data analytics.
Identify recurring failure modes and recommend improvements to eliminate or reduce repeat failures.
Support the maintenance planners in the identification and execution of cross-plant synergies.