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 strong 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)
🏢 ConnectYou
📍 Sydney