Modelling & Simulation Scientist, Computational Physics

About the role

Join our Mission to Lead the Future of Snacking. Make It With Pride.

Responsibilities

• 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.

Requirements

• 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.
• Experience in one or more of the following: 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.

Qualifications

• Master's degree in mathematical/computational/Theoretical Physics, or Engineering required.
• Ph.D in Mathematical/Computational/Theoretical Physics, or Engineering preferred.
• 3-5 years combined relevant experience (food and beverage experience preferred).

Skills

• Physics & Modelling Fundamentals
• Programming & Software Proficiency
• Simulation & Engineering Tools Experience
• Technical Rigor

Benefits

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. Some of these benefits have eligibility requirements. Many of these benefits are subsidized or fully paid for by the company.

Pay

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.

Schedule

This position is a hybrid role, working 3 days a week from the office.