Mathematical Optimisation Specialist

Details of the offer

Modelling & Simulation (Science & Technology) Contract/Temp Brunel are partnered with a leading resource company to deliver the best work opportunities for IT & Technical professionals within Australia. We are currently seeking an Operations Research & Optimisation Specialist to work on a contract basis on an exciting transformation project in supply chain management.
We have an opportunity for a Specialist in Operations Research and Mathematical Optimisation to work with challenging and exciting mathematical optimisation and simulation problems and positively impact the business while engaging with a team of technology experts across data science and simulation domains. This role will involve gaining substantial experience working with our data, scheduling, and planning systems to develop state-of-the-art optimisation outcomes to support business decision making.
You will utilise your hands-on capability and skills in linear, mixed integer modelling along with experience in heuristics and discrete event simulation to:
Modernise the integrated operations function by applying specialised operations research and optimisation approaches.Build optimisation models to support business requirements, designing and configuring to support their operation across the supply chain.Ensure best in class processes and techniques to develop, deploy and refine optimisation solutions to the business.Ensure models are sustainable and extensible and design can evolve with the business over time.Provide training and knowledge transfer to support the deployment and continuity of the optimisation products developed and ensure they are solving business problems.Requirements: Master qualification in Mathematics, Statistics or a related field.Extensive experience in Mathematical Optimisation and Simulation projects.Linear and mixed-integer programming.Software engineering experience.Proficiency in a mathematical software package (ie. Gurobi, CPLEX, AIMMS, Pulp or Pyomo).How to apply: If you meet the above requirements and would like to be considered for this role, please submit your interest using the 'Apply' button. Applying is quick and easy - just make sure you have the following documents ready to go:
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Nominal Salary: To be agreed

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