Modelling & Simulation Scientist, Computational Physics

Computational Physicist

Join our mission to lead the future of snacking. Make it with pride.

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.

Physics & Modelling Fundamentals

• Fundamental understanding of materials' physical properties: how these are measured and modelled (e.g. viscosity, thermal conductivity, rheology).
• Solid understanding of how physical transformations can be modelled (e.g. conduction of heat, fluid mixing, phase change).
• Ability to decompose complex engineering problems into tractable steps and manage technical ambiguity.
• Ability to create and validate models to test and predict real-world scenarios.

Programming & Software

• Proficient in Python for scientific computing, data analysis, and model deployment (e.g. Num Py, Sci Py, pandas, matplotlib).
• Familiarity with additional languages such as MATLAB, C++, or Julia is advantageous.
• Experience with machine learning and surrogate modelling frameworks (e.g. scikit-learn, Tensor Flow, or PyTorch).
• Version control proficiency using Git / Git Hub / Git Lab for collaborative code management.

Simulation & Engineering Tools

• Game-engine physics:
  Unreal Engine, PhysX, Unity
• Computational fluid dynamics: ANSYS Fluent, COMSOL Multiphysics
• Finite element analysis (ANSYS, Abaqus)
• Process modelling: gPROMS, Witness, Aspen
• Discrete element method:
  Rocky DEM, EDEM
• Extended realities (AR/VR) for visualization
• Computer-aided design:
  Fusion 360, Solid Works

Technical Rigor

• Strong analytical problem-solving mindset; operates effectively under ambiguity.
• Works with…