AI​/ML Scientist

We are an ambitious team with the shared passion to use data, data science (DS), machine learning (ML), advanced simulation, optimization and engineering excellence to make a difference for our customers.

We are a team, not a collection of individuals. We value our diverse backgrounds, our different personalities and strengths & weaknesses. We value trust and passionate debates. We challenge each other and hold each other accountable. We uphold a caring feedback culture to help each other grow, professionally and personally.

We are now seeking a new team member who is excited about developing advanced simulation models, optimization algorithms and AI/ML solutions that create operational insights for container shipping terminals worldwide, helping them optimize container handling, yard operations, vessel operations, and drive efficiency and business value.

You will be part of the APM Terminals team within Global data and analytics (GDA), responsible for developing and delivering advanced simulation models, optimizations and AI/ML models for container shipping terminals. As an AI/ML Scientist, you will have a leading role in designing, building, maintaining, and iterating on products that directly impact terminal operations.

This position offers a unique opportunity to develop and apply your deep knowledge of simulation, optimization, data science methods, software engineering, and modern AI development tools to create operational and strategic insights that are transforming container terminal operations globally.

This is an exciting time to join a growing and dynamic team that solves some of the toughest problems in terminal operations and builds the future of container shipping. We offer a unique opportunity to impact global trade via world-leading container terminals. We focus on our people and the right candidate will have broad possibilities to further develop competencies in an environment characterized by change and continuous progress.

• 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.
• Analyze data, measure delivered value, and continuously evaluate and improve models to increase effectiveness and operational impact.

• 3+ 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 of: 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 (Git Hub 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…