Optimisation AI Scientist

About This Opportunity

We are representing a high-growth SaaS client in the financial planning and performance analytics space. They are building out a solver-driven optimization capability to move their enterprise customers from descriptive planning to prescriptive, AI-powered decision-making. This is a rare opportunity to own the technical delivery of their optimization pilot program and establish the foundations for a production-grade capability that will serve global industry leaders.

As an Optimization AI Scientist, you will be partially customer-facing—leading the formulation of client optimization problems and working directly on implementations. This role sits at the intersection of applied mathematics, software engineering, and strategic business impact.

Location: London or Paris (hybrid)

Responsibilities

• Formulate supply chain and operational optimization problems as rigorous mathematical models, including objective functions, costs, penalties, and constraints
• Configure and run optimization models for customer pilots and implementations, supporting delivery teams in presenting results and strategic recommendations
• Build and execute Python-based optimization models using third-party solvers across varying dataset scales
• Benchmark solver performance and results across multiple use cases and industries
• Collaborate with engineering and data science leadership to define the roadmap for production-grade solver integration within the platform architecture
• Engage technically with solver vendor teams during partnership evaluation and selection processes

What We're Looking For

• Demonstrable experience formulating and solving optimization problems for real-world operational use cases
• Proficiency in Python with hands-on experience using a major solver library such as Gurobi, OR-Tools, CPLEX, HiGHS, or equivalent
• Experience working with supply chain and operations data: SKUs, bills of materials, capacity constraints, service levels, lead times, inventory targets, and similar constructs
• Strong understanding of core operations research techniques including branch-and-bound, LP relaxation, constraint programming, and sensitivity analysis
• Degree in Operations Research, Applied Mathematics, Industrial Engineering, Computer Science, or a related field (MS or PhD is advantageous)
• Ability to communicate complex technical concepts to both technical and business stakeholders

How We Work With You

When you apply through Get A Job.ai, our talent team will conduct an initial screening to understand your background and match it to our client's needs. If there's a strong fit, we will submit your profile to the client for consideration. We ask that you do not contact the client directly, as all communication and coordination will be managed through our recruitment process to ensure the best experience for everyone involved.

Pay

Compensation details will be discussed during the screening process and are competitive with the market for this level of expertise and location.

Get A Job.ai is an equal opportunity employer. We are committed to building a diverse team and creating an inclusive hiring process. All qualified applicants will receive consideration without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.