Production Planning Model Derivation Engineer

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 petrochemical operations About you

2 – 6 years of relevant experience in process engineering, modelling, data analysis, or production planning Fundamental understanding of chemical process principles, mass and energy balances, and plant operations Basic knowledge of statistical analysis and data modelling techniques (e.g. regression, Design of Experiments)  Familiarity with data analysis tools such as JMP, Python, MATLAB, or similar platforms  Strong analytical and problem-solving skills, with the ability to interpret complex datasets and translate them into actionable insights  Ability to work in a structured environment with adherence to technical standards, procedures, and documentation practices  Good communication skills and the ability to collaborate effectively with cross-functional teams High attention to detail and commitment to delivering accurate, quality work Proactive learner with the ability to take guidance and progressively work independently

Your benefits

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