Production Planning Model Derivation Engineer

Location

Kuala Lumpur, Federal Territory of Kuala Lumpur, MY, 50088

About us At ExxonMobil, our vision is to lead in energy innovations that advance modern living while reducing emissions. As one of the world’s largest publicly traded energy and chemical companies, we are powered by a unique and diverse workforce fueled by the pride in what we do and what we stand for.

The success of our Upstream, Product Solutions and Low Carbon Solutions businesses is the result of the talent, curiosity and drive of our people. They bring solutions every day to optimize our strategy in energy, chemicals, lubricants and lower-emissions technologies.

We invite you to bring your ideas to ExxonMobil to help create sustainable solutions that improve quality of life and meet society’s evolving needs. Learn more about our What and our Why and how we can work together.

ExxonMobil in Malaysia

In Malaysia, we host a global business and technology center in Kuala Lumpur that provides high-level information technology and engineering expertise to ExxonMobil’s Upstream, Product Solutions and Low Carbon Solutions businesses worldwide. In the upstream, we have interests in two Production Sharing Contracts with PETRONAS, while in the Product Solutions business, we supply a portfolio of specialty chemical products to the marketplace.

What role you will play in the team As a Production Planning Model Derivation Engineer, you will support the development and maintenance of process planning models used to represent manufacturing plant operations. You will work alongside experienced engineers to build simplified, data-driven models derived from detailed process simulations, helping enable effective planning and optimization decisions. This role offers the opportunity to develop strong analytical, modelling, and problem-solving skills within a collaborative technical environment.

What you will do

• Develop and maintain simplified production planning models derived from detailed process simulations, ensuring accuracy and reliability for operational planning
• Apply statistical and data-driven techniques (e.g. Design of Experiments, regression modelling) to generate robust and representative models
• Use data analysis tools to evaluate input relationships, validate outputs, and ensure model quality (e.g. correlation analysis, validation plots)
• Support the build and deployment of new models for manufacturing facilities and improvement projects
• Follow established modelling standards, methodologies, and documentation practices to ensure consistency and quality
• Collaborate with cross-functional teams (engineering, operations, and planning) to troubleshoot modelling issues and improve model performance
• Assist in analysing process data and translating it into usable planning models
• Contribute to technical reviews, documentation, and reporting for model development work
• Build knowledge of industry-standard process modelling tools and applications used in refining and processing industries