Working as part of a cross-functional teamcovering broadmodellingdisciplines, you are an internallyrecognizedexpert in computational physics,a technical area of critical importance to the R&D function. Youidentify,defineand 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 businesscontext.

• Define the datarequiredto build models; collaborate with internal teams or externalorganizationsto 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 arevalidatedagainst 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-basearticles 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 potentialimpedimentsand resource needs.

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

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