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

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Data Scientist – Optimisation

Role Overview

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

Key Responsibilities

• 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.

Required Skills

• 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

Core Tech Stack

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

Nice to Have

• 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

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