About the role
Join Quince's operations research team to build and optimise supply chain planning solutions. You'll develop production-grade optimisation models that improve warehouse routing, transportation, inventory planning, and logistics decisions while collaborating with global teams.
Responsibilities:
- Build and deploy optimisation models for supply chain planning.
- Solve routing, transportation, inventory, and network optimisation problems.
- Design, test, and improve OR models using LP, MIP, CP, and heuristic techniques.
- Apply AI/LLMs to accelerate model development and experimentation.
- Partner with engineering and business teams to deliver scalable solutions.
- Monitor model performance and continuously optimise production systems.
Requirements:
- 5-8 years of experience in operations research or data science.
- Strong knowledge of Linear Programming (LP), Mixed Integer Programming (MIP), Constraint Programming (CP), heuristics, network flow, and vehicle routing.
- Experience in supply chain, logistics, or transportation optimisation.
- Proficiency in Python and optimisation solvers (e. g., Gurobi, OR-Tools, and CPLEX).
- Experience deploying machine learning/optimisation models into production.
- Strong analytical, problem-solving, and communication skills.
Preferred Qualifications:
- Master's or PhD in operations research, industrial engineering, computer science, statistics, applied mathematics, or a related quantitative field.
- Experience working with AI-assisted optimisation and cross-functional global teams.