Job Description

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- Set the technical direction for port simulation, optimisation and data-science services across port planning, terminal operations, marine logistics, asset management and Defence infrastructure.
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- Lead simulation and decision-support studies covering vessel and berth operations, cargo and yard flows, landside interfaces, resource allocation, maintenance, capacity and operational resilience.
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- 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.
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- Translate operational data and modelling results into practical recommendations for master planning, capital investment, asset utilisation, operating strategies, service levels and risk management.
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- 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.
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- 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.
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Requirements

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- 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.
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- Substantial senior-level experience, typically 15+ years, leading data science, optimisation, simulation, quantitative modelling or complex software solutions.
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- 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.
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- 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.
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- Demonstrated ability to establish robust model governance, communicate assumptions and uncertainty clearly, and lead cross-functional teams involving technical specialists, operational stakeholders and clients.
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- Robust 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.
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Core Competencies

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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.

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Highest-signal resume keywords

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- Statistical Modelling
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- Monte Carlo Simulation
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- Optimisation
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- Machine Learning
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- Python Programming
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ATS Optimization Keywords

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Hard Skills

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- Data Science
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- Simulation
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- Quantitative Modelling
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- Forecasting
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- Decision Support
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- Analytical Systems Development
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- Operational Resilience
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- Capacity Improvement
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- Resource Allocation
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- Model Validation
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Soft Skills

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- Client Leadership
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- Communication
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- Business Development
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- Team Leadership
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- Commercial Awareness
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Certifications & Qualifications

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- Master's Degree
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- PhD
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Industry Keywords

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- Port Simulation
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- Marine Logistics
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- Terminal Operations
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- Asset Management
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- Defence Infrastructure
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- Operational Environments
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- Cross-Functional Teams
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- Ethical Innovation
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- Practical Recommendations
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- High-Stakes Environments
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📌 Technical Director, Ports, Marine, Coastal (Perth)
🏢 Jobtailor
📍 Perth