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 modeling 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 modeling 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 Design and deliver rapid simulation capabilities to drive solutions to business challenges. Plan, lead, and manage modeling 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 modeling & 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 modeling, 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 modeled (e.g. viscosity, thermal conductivity, rheology). Solid understanding of how physical transformations can be modeled (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. NumPy, SciPy, pandas, matplotlib). Familiarity with additional languages such as MATLAB, C++, or Julia is advantageous. Experience with machine learning and surrogate modeling frameworks (e.g. scikit-learn, TensorFlow, or PyTorch). Version control proficiency using Git / GitHub / GitLab 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 modeling: gPROMS, Witness, Aspen Discrete element method: Rocky DEM, EDEM Extended realities (AR/VR) for visualization Computer-aided design: Fusion 360, SolidWorks Technical Rigor 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. More about this role This is a technical modeler role where you will work collaboratively to scope opportunities, define problems, identify solutions, and build and deploy modeling and simulation techniques to support rapid product development decisions. Education / Certifications Master’s degree in Mathematical/Computational/Theoretical Physics, or Engineering required. Job specific requirements Ph.D. in Mathematical/Computational/Theoretical Physics, or Engineering preferred. 3-5 years combined relevant experience (food and beverage experience preferred). Travel requirements Up to 10% Work schedule Hybrid - 3 Days a week from office Salary and Benefits The base salary range for this position is $97,300 to $133,815; the exact salary depends on several factors such as experience, skills, education and location. In addition to base salary, this position is eligible for participation in a highly competitive bonus program with possibility for overachievement based on performance and company results. In addition, Mondelez International offers the following benefits: health insurance, wellness and family support programs, life and disability insurance, retirement savings plans, paid leave programs, education related programs, paid holidays and vacation time. Many of these benefits have eligibility requirements. Many of these benefits are subsidized or fully paid for by the company. No Relocation support available Business Unit Summary Mondelēz Global LLC is an Equal Opportunity Employer/Protected Veterans/Persons with Disabilities. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected Veteran status, sexual orientation, gender identity, gender expression, genetic information, or any other characteristic protected by law. Applicants who require accommodation to participate in the job application process may contact View phone number on click.appcast.io for assistance. Job Type Regular Scientific Modelling & Simulation Science & Engineering #J-18808-Ljbffr Dormont Manufacturing Co