Optimization AI Scientist

Who you are

• 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)

What the job involves

• At Pigment, we champion smart risks, celebrate bold ideas, and challenge the status quo—all as a united team
• Every team member has the opportunity to make a significant impact and tackle ambitious challenges
• Together, we pursue excellence with a collaborative spirit, continuously raising the bar to ensure strong performance and a proactive approach while fostering an environment of humility
• If you are passionate about innovation and wish to collaborate with some of the brightest minds in the industry, we would love to hear from you!
• 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
• 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

Benefits

• Healthcare including dental
• Brand new offices in the heart of Paris, London (Liverpool Street), New York and Toronto
• Hybrid work policy (40% remote)
• One company offsite every year in Paris
• Generous maternity (16 weeks full pay) /paternity leave (5 weeks full pay + 4 weeks half time work but fully paid)
• 50% home work stipend covered by Pigment
• Free Lunches
• Monthly office socials. Quarterly team socials
• 50% travel paid for