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Senior role in a metro at a recognizable consulting brand but niche solver requirements moderate competition.
Highly domain-specific optimisation and mining use-case expertise limits cross-industry transferability.
Explicit 8–12 years plus mandatory Gurobi/AMPL solver expertise enforces strict filtering.
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Design, extend, and validate large-scale LP/MIP optimisation models for strategic mine planning and scheduling.
Integrate and configure optimisation solvers (Gurobi, Maroma, AMPL) ensuring high performance, scalability, and stability.
Collaborate with cross-functional teams to translate business problems into optimisation solutions and support decision-making with analytical insights.
8–12+ years of experience in optimisation or related fields.
Strong expertise in Linear Programming (LP) and Mixed Integer Programming (MIP).
Hands-on experience with Gurobi, Maroma, and AMPL solvers (mandatory).
Bachelor’s or master’s degree in Operations Research, Mathematics, Engineering, Computer Science, or related field.
Experienced in developing optimisation models for large-scale, performance-critical industrial applications, preferably in mine planning or heavy industry.
Proficient in Python programming for model development, integration, and testing, with knowledge of solver performance tuning.
Able to engage effectively with technical and non-technical stakeholders to explain optimisation assumptions, trade-offs, and outcomes.