Optimization Algorithm Specialist

Overview

About Singapore LNG Corporation (SLNG): Singapore LNG Corporation is committed to building Singapore into a regional LNG hub. The Throughput Business Team plays a key role in this by overseeing LNG carrier scheduling, storage, regasification, and send-out to the national gas grid.

You will support the development and maintenance of optimization models that improve the efficiency of operations at SLNG’s terminals. This role offers a valuable opportunity to gain experience in solving real-world challenges through data and analytics, working alongside experienced professionals.

• Assist in developing models and tools to support scheduling and inventory planning for LNG terminals.
• Help run and maintain optimization algorithms to support vessel scheduling and inventory tracking.
• Support data analysis tasks to identify trends, constraints, and operational challenges.
• Assist in preparing reports, visualizations, and presentations for internal stakeholders and external parties.
• Document workflows, models, and processes clearly and systematically to support knowledge sharing and maintenance.
• Assist in developing and maintaining Standard Operating Procedures (SOPs) related to optimization processes and tools.
• Work closely with various teams (commercial, operations, IT) to understand data and optimization needs.
• Learn and apply basic optimization methods and industry tools under guidance.
• Stay updated on new techniques and tools relevant to optimization and analytics.

• Basic knowledge of Operations Research or data analytics, through academic projects or internships.
• Some experience or coursework in optimization techniques (e.g., linear programming, integer programming) is preferred.
• Familiarity with Python or another programming language used in data analysis (e.g., R, MATLAB).
• Basic understanding of databases and data handling (e.g., Excel, MySQL, or SQLite).
• Attention to detail and good documentation habits.
• Strong willingness to learn and take on technical challenges.
• Good communication and teamwork skills.
• Bachelor or Master degree in Engineering, Applied Mathematics, Operations Research, or related field.
• Interest or exposure to energy industries is a plus.