AI/ML Scientist(Operations Research)

About this role

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Skills you'll use

What you'll do

• Design, implement and deliver advanced simulation models and optimization solutions for terminal operations including container handling equipment efficiency, yard positioning strategies, vessel loading/unloading sequencing, and truck routing.
• Develop and maintain efficient applied engineering solutions that solve real-world operational challenges at container terminals globally.
• Build both operational tools for day-to-day terminal operations and strategic models for long-term planning and decision-making.
• Work with relevant stakeholders to understand terminal operational dynamics and business processes, incorporating their needs into products to enhance value delivery.
• Collaborate and communicate model rationale, results and insights with product teams, leadership and business stakeholders to roll out solutions to production environments.
• Analyse data, measure delivered value, and continuously evaluate and improve models to increase effectiveness and operational impact.

Who can apply

• 5+ years of industry experience in building and delivering simulation models, optimization solutions, or data science products.
• PhD or M.Sc. in Operations Research, Industrial Engineering, Machine Learning, Statistics, Applied Mathematics, Computer Science, or other field related to algorithms and data (or equivalent experience).
• Strong experience in simulation modeling and optimization, particularly in operational environments with complex dynamics.
• Research or industry experience in one or more: Discrete event simulation, Combinatorial optimization problems (e.g., scheduling, vehicle routing, bin packing, sequencing), Continuous optimization problems (e.g., linear programming, mixed-integer programming, convex programming), AI/ML methods for operational problems, Prescriptive analytics (e.g., stochastic optimization, reinforcement learning).
• Experience with AI development tools and code assistants (GitHub Copilot, Cursor, Claude Code, or similar) for enhanced productivity.
• Excellent record of delivery using Python and technologies like Git, JIRA, etc.
• Ability to understand complex operational systems and translate business requirements into effective technical solutions.
• Strong communication skills with ability to work independently with stakeholders while liaising and reviewing with the team.

Perks & benefits

About Maersk

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