Modelling & Simulation Scientist, Computational Physics

Working as part of a cross-functional team covering broad modelling disciplines, you are an internally recognized expert in computational physics, a technical area of critical importance to the R&D function. You identify, define and solve complex modelling and simulation problems, tackling R&D's highest priority ingredient, product, process, and packaging challenges. Applying your in-depth knowledge of this technical specialty, you will drive rapid, high-quality innovation capabilities across Mondelez's portfolio, spanning chocolate, biscuit, gum, and candy categories. 

You will bring computational physics modelling & simulation capabilities to Mondelez R&D's highest priority areas, developing solutions to move R&D work away from large, factory-scale trials towards small-scale or in silico predictions. Specifically, you will:  

• Design and deliver rapid simulation capabilities to drive solutions to business challenges. 

• Plan, lead, and manage modelling and simulation projects, scoping and proposing opportunities for sustained business impact.

• Work closely with engineers and scientists to define complex technical challenges and agree on problem scope. 

• Communicate complex problems simply to non-technical audiences with relevant business context. 

• Define the data required to build models; collaborate with internal teams or external organizations to collect this information, which may include designing experimental tests. 

• Use software tools to design, build, test, and implement simulations — or select and manage delivery through an external partner. 

• Ensure simulations are validated against experimental data, including any required experiments or factory trials. 

• Deploy models via simple UIs using the Mondelez-approved technology stack, in collaboration with IT and/or external partners. 

• Establish strategy and roadmap for integrating computational physics into R&D business processes. 

• Quantify and communicate the value of computational physics to stakeholders, the associated plan, and embed learnings into business processes to accelerate innovation and optimization. 

• Author best-practice documentation and knowledge-base articles from project learnings. 

• Share knowledge and coach junior colleagues, building internal modelling & simulation capability across R&D. 

• Maintain data management practices — ensuring models, datasets, and simulation outputs are documented and stored in line with company data governance policies. 

• Research and keep pace with developments in relevant modelling, simulation, and virtual prototyping techniques. 

• Provide regular project updates to senior stakeholders, flagging potential impediments and resource needs. 

• Ph.D in Mathematical/Computational/Theoretical Physics, or Engineering preferred 

• 3-5 years combined relevant experience (food and beverage experience preferred