Data Optimisation Scientist optimisation/ modelling

Your new company Working for a globally renowned retail company.Your new role Seeking a hands-on Data Science role in London to support R&D for automated packaging. You'll combine operations research, simulation, and practical engineering to create models that improve how the products are counted, bagged, and boxed. The goal: deliver iterative, production-ready solutions that make our packaging systems faster, smarter, and more reliable.What you'll need to succeed Not the classic "predictive modeling" skillset Data Science skillset Needed skills:

• Exploration vs. exploitation mindset
• Advanced Optimization Skills: Expertise in linear optimization and statistical optimization for systems.
• Strong background in modeling and solving problems involving variability and constraints.
• Ability to search optimal recipe space within a model.
• Build models to explore and exploit possibilities, not just predict outcomes.
• Operations research: handling constraints, finding optimal arrangements for fastest packing.
• Stochastic simulation: accounting for variability in machine speeds and conveyor setups.
• Techniques: statistical simulation, stochastic modeling, linear optimization.
• Industry Experience: Exposure to renewable energy, manufacturing, electronic systems or distribution (Retail/ Food).

Tools & Platforms:

• Databricks for data workflows.
• GitHub for CI/CD and version control.

What you'll get in return Flexible working options available.What you need to do now If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now.

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