Unilever
Consumer Goods
PackagingSimulationEngineer
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Packaging Simulation Engineer at Unilever. Skills: Packaging simulation, Digital engineering, Predictive engineering. Apply simulation tools. Predict packaging performance”
What You'll Achieve.
Deliver robust packaging; Deliver high-performing packaging; Deliver sustainable packaging; Enable faster learning; Reduce physical testing; Reduce mold iterations; Optimize designs for performance; Optimize designs for manufacturability; Optimize designs for consumer use; Strengthen design outcomes
Industry & Context.
Problem-solving skills; Data-driven insights; Technical challenges
What They're Looking For.
Must Have
Bachelor's degree in Mechanical Engineering, 3-5+ years simulation engineer experience, Understanding of Finite Element Analysis, Experience using CAD tools, Experience within data-managed environments
Nice to Have
Computational Fluid Dynamics benefit, Familiar with Dassault 3DEXPERIENCE platform, Familiar with modern digital workflows, Exposure to scripting, Exposure to automation, Exposure to digital integration, Exposure to AI approaches
What You'll Do.
Apply simulation tools
Predict packaging performance
Optimise packaging performance
Predict component strength
Predict user interactions
Predict injection molding
Build simulation strategies
Execute simulation strategies
Onboard simulation models
Translate design requirements
Generate simulation insight
Communicate recommendations
Partner with Design Engineers
Guide towards solutions
Support simulation integration
Validate simulation models
Use Design of Experiments
Use statistical approaches
Reduce technical risk
Provide data-driven insights
Provide technical guidance
Collaborate with partners
Guide external partners
Contribute to capability building
Define best practices
Define future strategies
Participate in Communities of Practice
How You'll Work.
Team & Collaboration
Multi-disciplinary teams; Cross-category Communities; Project teams; Stakeholders
Communication Scope
Clear communication; Simplify complex outputs
Process & Methodology
Innovation projects, Capability projects
Full Job Description
Job Title: Packaging Simulation Engineer Location: Leeds, UK The Deodorants category is a key part of the Unilever Personal Care Business Group. With a family of Power Brands – Rexona, Dove, Axe – which are critical growth drivers of the company. We are looking for a Packaging Simulation Engineer to help shape the future of deodorant packaging for some of the world’s most recognisable Personal Care brands. Job Purpose As a Packaging Simulation Engineer in Deodorants you will drive the application of predictive engineering and digital simulation to deliver robust, high-performing and sustainable packaging solutions. You will work across multiple innovation and capability projects, applying advanced simulation tools and digital methodologies to guide design decisions from early concept through to manufacture. By integrating simulation into the product development process, you will enable faster learning, reduce physical testing and mold iterations, and ensure designs are optimised for performance, manufacturability and consumer use. In order to deliver the greatest value for both the consumer and our brands, your role is to ensure technical rigour, generate insight from virtual testing, and translate this into clear recommendations that strengthen design outcomes. WHY JOIN UNILEVER DESIGN Joining Unilever Design means working within an ambitious, high-performing and collaborative team focused on delivering impactful brand innovation. You will operate in an agile, open-minded environment alongside passionate thinkers and doers, contributing to advancements across sustainability, digital technology, packaging capability and business growth. In Unilever, you will collaborate with multi-disciplinary teams and external partners to create value and meet consumer needs through meaningful and technically robust solutions. MAIN RESPONSIBILITIES Apply simulation and digital engineering tools to predict and optimise packaging performance. E.g. component strength, deformation, du
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