Consultant – Operations Research

Join a boutique, technology led quantitative consultancy as an Operations Research Consultant. You will build optimisation models that solve complex operational problems across energy, aviation, transport and water.

This suits a strong modeller who wants direct client exposure, real ownership and close collaboration with senior technical experts. The firm is well regarded in Australian energy markets and is growing quickly across infrastructure.

Responsibilities:

• Formulate and solve optimisation problems using linear, mixed integer and constraint programming

• Build scheduling, allocation, fleet and network planning models for clients in aviation, energy and transport

• Develop production quality models in Python using commercial solvers

• Design scenario testing frameworks to assess operational and financial trade offs

• Translate client problems into mathematical formulations and present results to technical and executive stakeholders

• Work with software engineers to deploy models into live operational environments

• Contribute to proposals, project scoping and internal tool development

Required Experience:

• 2 to 5 years in operations research, optimisation or quantitative modelling

• Hands on experience formulating mixed integer programs and working with commercial solvers

• Strong Python; SQL advantageous

• Optimisation applied to real operational problems such as scheduling, rostering, fleet or network planning, or energy dispatch

• Background in consulting, airline, rail, logistics, energy or defence analytics valued

• Able to explain model outputs clearly to non technical clients

• Exposure to cloud deployment, version control and software engineering practices

Qualifications:

• Degree in operations research, mathematics, statistics, engineering or computer science

• Masters or PhD in operations research, optimisation or a related quantitative field highly regarded

Work mode: Office based