Data Optimisation Scientist optimisation/ modelling

Your new companyWorking for a globally renowned retail company.Your new roleSeeking 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 succeedNot the classic "predictive modeling" skillset Data Science skillsetNeeded 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 returnFlexible working options available.What you need to do nowIf you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now.

Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at hays.co.uk