Sr. Scientist, Modelling & Simulation

##

Job Description
** Are You Ready to Make It Happen at Mondelēz International?*
* ** 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.

** How you will contribute
** 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.  
** What you will bring*
* ** 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…