We are hiring an Optimisation AI Scientist to own the technical delivery of Pigment's solver pilot programme and build the foundations of a production-grade optimisation capability - moving customers from descriptive planning to prescriptive, solver-driven decision-making.
This role is partially customer-facing: leading and shaping the formulation of each client's optimisation problem, directly involved in implementations.
What you will do:
Formulate supply chain optimisation problems as rigorous mathematical models - objective functions, costs, penalties, and constraints
Configure and run optimisation models for customer pilots and implementation, and support Solutions Architects in delivering results and debriefs
Build and run Python models against third-party solvers across multiple dataset scales, and benchmark results across use cases
Work with Engineering and Data Science leads to define the path to production-grade solver integration and customer specific implementations within Pigment's architecture
Engage technically with solver vendor teams during partnership evaluation
Who you are and what you can do:
Demonstrable experience formulating and solving optimisation problems for real-world operational use cases
Proficiency in Python with hands-on experience in a major solver library (Gurobi, OR-Tools, CPLEX, HiGHS, or equivalent)
Experience with supply chain/operations data — SKUs, BOMs, capacity constraints, service levels, lead times, inventory targets etc.
Understanding of core OR techniques: branch-and-bound, LP relaxation, constraint programming, sensitivity analysis
Degree in Operations Research, Applied Mathematics, Industrial Engineering, CS, or related field (MS/PhD advantageous)
Skills Required
- Demonstrable experience formulating and solving optimization problems for real-world operational use cases
- Proficiency in Python and hands-on experience with a major solver library such as Gurobi, OR-Tools, CPLEX, HiGHS, or equivalent
- Experience with supply chain or operations data, including SKUs, BOMs, capacity constraints, service levels, lead times, and inventory targets
- Understanding of branch-and-bound, LP relaxation, constraint programming, and sensitivity analysis
- Degree in Operations Research, Applied Mathematics, Industrial Engineering, Computer Science, or a related field
- Master’s or PhD degree
What We Do
In a world moving at an incredibly fast pace, businesses have grown accustomed to change. Transforming their business model, pivoting their strategy, rethinking their go-to-market, the list goes on. To enable these changes, they have also had to rethink the way they work. Breaking down silos isn’t a best practice anymore. It’s a given. And yet, when it comes to planning, little has changed. In fact, planning tools work the exact opposite way, reinforcing data and people silos, and preventing teams from working together toward their common goals. As a result, planning is usually seen as a dreadful process. But the truth is, planning drives strategy. It’s high time we serve it with the right tools. Pigment is the business planning platform for fast-growing companies. Our mission is to help companies make better, faster decisions in a changing world, and drive revenue growth. At Pigment we believe that: ✅ Real-time data informs better outcomes. Trim your sail, and make the best use of current winds. ✅ Reporting should be accurate, quick, and insightful. ✅ Planning should be simple, smooth, and delightful. ✅ Less time should be spent on data crunching, more time on bringing insights to the business. ✅ Collaboration should be at the heart of any planning process, so your organization works as one. Book your demo today ? https://www.gopigment.com/contact We’re hiring! Check out our offers: https://jobs.lever.co/pigment
