Operations Excellence Lead - Data Science & Service AssuranceNew!

• Build and maintain machine learning models for fuel forecasting, anomaly detection and equipment failure prediction.
• Investigate fuel drops and load variations and drive OPEX savings from fuel efficiency initiatives.
• Own monthly preventive and corrective maintenance reconciliation against system records.
• Reconcile vendor costs and penalties and maintain an open item register for disputes and anomalies.
• Manage site master accuracy and build automated data quality rules and dashboards.
• Act as business owner for work order systems and RMS integration.
• Design and document operations and maintenance processes and procedures.
• Run risk based quality assurance audits across sites.
• Drive improvement initiatives with documented savings.

Qualifications & Experience:

• Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science or Engineering.
• Minimum 5 years in data science, advanced analytics, operations assurance or process improvement.
• Demonstrated delivery of applied machine learning or analytics solutions with measurable business outcomes.
• Proficiency in Python, SQL and BI dashboard development such as Power BI.
• Experience with reconciliation, cost control or OPEX optimisation.
• Experience with process documentation and quality assurance.

Skills & Competencies:

• Applied machine learning.
• Data quality governance.
• Process documentation and QA.
• Field stakeholder engagement.