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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.

Required skillset:

Exploration vs. exploitation mindset.
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.Tools & Platforms Expertise:

Databricks for data workflows.
GitHub for CI/CD and version control.
Package management for reproducibility.
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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