Consultant - Operations Research

ConnectYou; Sydney; On-site; AUD 120,000 - 170,000; Full time

Job summary

ConnectYou, a boutique quantitative consultancy in Sydney, seeks an Operations Research Consultant to build optimisation models across multiple industries, with direct client exposure and ownership.

You will work closely with senior technical experts, translate client problems into mathematical formulations, and drive models from prototype to live operations while contributing to proposals and internal tooling.

Qualifications

• 2–5 years in operations research, optimisation or quantitative modelling
• Experience formulating mixed integer programs and working with commercial solvers
• Strong 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

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

Skills

Analytical thinking

Client communication

Problem solving

Education

Bachelor's in OR/Math/Stats/Engineering/CS

Master's or PhD in related field

Tools

Python

SQL

CP Solvers

Job description

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
• Strong 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