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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
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 ModellingMonte Carlo SimulationOptimisationMachine LearningPython Programming
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data ScienceSimulationQuantitative ModellingForecastingDecision SupportAnalytical Systems DevelopmentOperational ResilienceCapacity ImprovementResource AllocationModel Validation
Soft Skills
Client LeadershipCommunicationBusiness DevelopmentTeam LeadershipCommercial Awareness
Certifications & Qualifications
Master's DegreePhD
Industry Keywords
Port SimulationMarine LogisticsTerminal OperationsAsset ManagementDefence InfrastructureOperational EnvironmentsCross-Functional TeamsEthical InnovationPractical RecommendationsHigh-Stakes Environments
Tech Stack
Tools & technologiesPython
About the role
Key responsibilities & impact- 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
What you’ll need- 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.
Benefits
Comp & perks- Flexible working arrangements
- Professional development opportunities
