Optimization Scientist — Warehouse Ops (Hybrid/Remote)

WareBee ltd.; Cambridge; Hybrid; GBP 70,000 - 120,000; Full time

Benefits offered by this job

Real money on table

Small senior team

Hybrid in Cambridge

Remote option

Job summary

WareBee ltd. is seeking a Data Scientist (Optimization Science) to tackle real warehouse optimisation problems and build solvers and heuristics that operate at production scale.

You will work with operators, product teams, and engineers to turn constraints into formal models and deliver practical, shippable solutions. You will engage with messy data, changing constraints, and deadlines while applying linear programming, MILP, constraint programming, and simulation as appropriate.

Qualifications

• Strong foundations in operations research, mathematical optimisation, or applied mathematics.
• Proven production experience with at least one solver ecosystem and one general-purpose programming language.
• Comfort with messy real data, partial information, and changing constraints.
• Pragmatism about when an optimal solution is overkill and a heuristic ships.
• Curiosity about the operational domain — logistics, supply chain, warehousing.
• Hands-on warehouse, logistics, or supply-chain experience — you’ve seen how a real floor runs (a strong plus)

Responsibilities

• Sit with operators and the product team, understand the real constraints, and turn fuzzy operational pain into formal models
• Solve real instances — at production scale, with messy warehouse data, against deadlines that matter
• Build solvers and heuristics that ship, not papers that don’t
• Pair with engineers to embed solvers behind clean APIs and feedback loops
• Validate against the truth (operations on the ground), not just against the model

Skills

Operations research

Mathematical optimisation

Applied mathematics

Tools

Python

Solver ecosystems

Job description

WareBee ltd. is seeking a Data Scientist (Optimization Science) to tackle real warehouse optimisation problems and build solvers and heuristics that operate at production scale.

You will work with operators, product teams, and engineers to turn constraints into formal models and deliver practical, shippable solutions. You will engage with messy data, changing constraints, and deadlines while applying linear programming, MILP, constraint programming, and simulation as appropriate.