- Set the technical direction for port simulation, optimisation and data-science services across port planning, terminal operations, marine logistics, asset management and Defence infrastructure.
- Lead simulation and decision-support studies covering vessel and berth operations, cargo and yard flows, landside interfaces, resource allocation, maintenance, capacity and operational resilience.
- Apply methods such as discrete-event simulation, Monte Carlo analysis, optimisation, forecasting, statistical modelling, machine learning and scenario analysis to solve complex port and terminal problems.
- Translate operational data and modelling results into practical recommendations for master planning, capital investment, asset utilisation, operating strategies, service levels and risk management.
- Establish robust model governance and work with port planners and multidisciplinary engineers to ensure models are accurate, validated, reproducible and representative of real-world assets, constraints and operating rules.
- Lead client engagements, proposals and cross-functional teams, while developing scalable digital solutions and building enduring port simulation and analytics capability within the Ports, Marine & Coastal business.

Requirements - A degree in computer science, data science, operations research, applied mathematics, engineering or a related quantitative discipline; a master’s degree or PhD is highly regarded.

- Substantial senior-level experience, typically 15+ years, leading data science, optimisation, simulation, quantitative modelling or complex software solutions.
- A proven record of developing and validating analytical systems for high-stakes operational environments, delivering measurable improvements in capacity, productivity, reliability, cost, risk or decision-making.
- Advanced capability in statistical modelling,



Monte Carlo simulation, optimisation, forecasting and machine learning, supported by strong proficiency in Python or comparable technologies and experience delivering production-grade analytical solutions.
- Demonstrated ability to establish robust model governance, communicate assumptions and uncertainty clearly, and lead cross-functional teams involving technical specialists, operational stakeholders and clients.
- Solid consulting, client leadership and business development capability, with experience in ports, transport, logistics, industrial or other asset-intensive environments, together with excellent communication, commercial awareness and a commitment to ethical, practical innovation.

Core Competencies

Demonstrates advanced capabilities in statistical modelling, Monte Carlo simulation, optimisation, and machine learning, with a strong proficiency in Python for developing production-grade analytical solutions. Proven experience in leading cross-functional teams and establishing robust model governance in asset-intensive environments. Highest-signal resume keywords - Statistical Modelling - Monte Carlo Simulation - Optimisation - Machine Learning - Python Programming ATS Optimization Keywords Hard Skills - Data Science - Simulation - Quantitative Modelling - Forecasting - Decision Support - Analytical Systems Development - Operational Resilience - Capacity Improvement - Resource Allocation - Model Validation Soft Skills - Client Leadership - Communication - Business Development - Team Leadership - Commercial Awareness Certifications &

Qualifications - Master's Degree - PhD Industry Keywords - Port Simulation - Marine Logistics - Terminal Operations - Asset Management - Defence Infrastructure - Operational Environments - Cross-Functional Teams - Ethical Innovation - Practical Recommendations - High-Stakes Environments

📌 Technical Director, Ports, Marine, Coastal (Perth)
🏢 Jobtailor
📍 Perth