Modelling scientists build analytical, numerical, and simulation-based models to understand and forecast the behaviour of natural, engineered, economic, and biological systems. They work with differential equations, numerical solvers, optimization frameworks, and computational platforms to recreate system dynamics and evaluate scenarios. Their models support applications in energy systems, manufacturing, epidemiology, climate analysis, logistics, and financial forecasting. They collaborate with engineers, statisticians, domain scientists, and policy planners. Global reliance on data-driven planning, forecasting tools, and simulation-based decision-making continues to elevate demand for advanced modelling expertise.