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.
- Strong 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 robust 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

#J-18808-Ljbffr

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