EY - GDS Consulting - AI And DATA - Data Scientist - Opt - Manager

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.

• Develop and maintain with linear programming/ mixed integer programming/ network/flow-based optimisation models
• Model constraints (capacity, sequencing, blending, costs, boundaries, etc.)
• Integrate and tune optimisation solvers
• Diagnose infeasibility, performance, and stability issues
• Validate outputs via testing, cross-checks, and alternative formulations
• Collaborate with product and domain teams to translate requirements into models
• Own solution correctness and justify optimisation outputs.

• Strong background in Operations Research / Optimisation and mining
• Experience with linear programming and mixed integer programming in production environments
• Proven record of hands-on experience with commercial solvers (Gurobi, AMPL, Maroma)
• Experience working with large, complex datasets and performance‑critical optimisation problems
• Strong Python for model development and integration
• Experience with large-scale optimisation problems

• Familiarity with Mine planning or heavy industry optimisation
• Exposure to Large scheduling problems
• API / platform integration experience
• Exposure to stochastic optimisation
• Exposure to C#/.NET

• Solvers: Gurobi, AMPL, Maroma
• Techniques: LP, MIP, Network/Flow optimisation, Constraint modelling
• Languages: Python, AMPL

EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.

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Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

Design and scale large optimisation models for strategic mine planning, solving complex scheduling, blending, and capacity problems to support long-term operational decisions