Scientist Modelling & Simulation

• 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.

• 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.

• Proficient in Python for scientific computing data analysis and model deployment (e.g. NumPy SciPy 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 TensorFlow or PyTorch).
• Version control proficiency using Git / GitHub / GitLab for collaborative code management.

• 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 SolidWorks

• Strong analytical problem-solving mindset; operates effectively under ambiguity.
• Works with independence and self-direction; takes ownership of technical decisions and outcomes.
• Solid communication skills - able to present complex technical work in engaging presentations and clear written reports for diverse audiences.
• Active listener who builds credibility through collaborative and inclusive ways of working.
• Demonstrates a growth mindset: proactively seeks new knowledge and shares learnings with the team.
• Comfortable influencing across all levels of the organization including senior leadership.

• Ph.D in Mathematical/Computational/Theoretical Physics or Engineering preferred
• 3-5 years combined relevant experience (food and beverage experience preferred

What We Do

Mondelēz International Inc. (NASDAQ: MDLZ) is an American multinational confectionery food and beverage company based in Illinois which employs approximately 90000 individuals around the world. Our Purpose Our purpose is to empower people to snack right. We will lead the future of snacking around the world by offering the right snack for the right moment made the right way. Our Brands We’re leading the future of snacking with iconic brands such as Oreo belVita and LU biscuits; Cadbury Dairy Milk Milka and Toblerone chocolate; Sour Patch Kids candy and Trident gum. Our People Our 90000+ colleagues around the world are key to the success of our business. Our Values and Leadership Commitments of Love our Consumers and Brands Grow Every Day and Do What's Right shapes our culture – what we believe in stand for and what guides our actions and decisions. Great people and great brands. That’s who we are. Our Strategies We are uniquely positioned to lead the future of snacking with strong leadership in our categories an unparalleled portfolio of global and local brands and a solid footprint in fast-growing markets. Aimed at delivering sustainable growth our strategic plan is centered around three strategic priorities: • Growth: accelerate consumer-centric growth • Execution: drive operational excellence • Culture: build a winning growth culture

Why Work With Us

We offer passionate energetic and curious people a huge choice of careers in our fun fast-paced global business. We operate in four regions: Asia Middle East & Africa; Europe; Latin America; and North America. And in over 80 countries our people are united in a common purpose to empower people to snack right.

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