Overview:

Join a boutique quantitative consultancy as an Operations Research Consultant. You will build optimisation models that solve complex operational problems across multiple industries.

This suits a solid modeller who wants direct client exposure, real ownership and close work with senior technical experts. The firm has an established reputation across energy and infrastructure.

Responsibilities:
Formulate and solve optimisation problems using linear, mixed integer and constraint programming
Build scheduling, allocation and network planning models for a range of clients
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
Help take models from prototype into live operational use
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
Robust Python; SQL advantageous
Optimisation applied to real operational problems such as scheduling, rostering, network planning or energy dispatch
Background in consulting, transport, 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

📌 Consultant Operations Research Sydney (Australia)
🏢 ConnectYou
📍 Australia