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