Simulation and Operations Research Product Lead

At APM Terminals, a global leader in port and terminal operations, we enable global trade and drive sustainable growth. As part of the A.P. Moller-Maersk Group, we connect economies and communities worldwide. Our success is driven by a strong commitment to LEAN methodologies, embedding continuous improvement into every aspect of our operations. Join us and be part of a team that values excellence, collaboration, and innovation. We foster a dynamic learning and training culture that empowers our employees to excel. Our commitment to continuous improvement is driven by LEAN principles, ensuring that every team member has the opportunity to develop their skills and advance their careers. Join us to be part of an innovative environment where your growth is our priority, and experience the numerous advantages of being a valued member of our team.

APMT are strengthening our Operations Technology function by creating a new product team focussed on the development of industry leading, data-science and AI enabled tools to power our next phase of operations performance improvement. This highly skilled new team will work with our Operations colleagues to identify high-impact use cases and guide the development of the tools and components needed to enable APMT and Maersk’s operational excellence strategy.

Please note that this role does not offer relocation. However, we are open to considering candidates who are already based in any of the following locations:

• Hague, Netherlands

• Copenhagen, Denmark

• Maidenhead, UK

This role will bridge the gap between our operations and technology teams. You will lead the specification and development of Operations Research and simulation components powering our operational tools, helping to improve productivity and drive efficiency. You’ll shape solutions that solve real-world terminal challenges, working closely with vendors and engineering teams.

• Translate Operations needs into technical specifications
• Evaluate analytical approaches and vendor tools utilising Operations Research methods
• Lead data analysis to understand the value associated with potential solutions and carry out performance validation of developed algorithms and solutions
• Create detailed solution requirements and user stories to guide development teams
• Propose fit-for-purpose algorithm and solution approaches to new prediction, automation and optimisation problems
• Utilise a Lean mindset to identify opportunities to address waste and standardise processes through solutions
• Collaborate with tech teams to shape delivery

• Strong algorithmic and modelling knowledge
• Experience developing modelling approaches, embedding simulation and operations research methods
• Experience in the end-to-end process of developing solutions to optimize processes and systems
• Industries: F1, consulting, aerospace, manufacturing, pharma
• Excellent communication and stakeholder skills

• Deep understanding of data science methods (algorithms, mathematical techniques etc), technologies (tools, suppliers etc) and delivery models (agile, devops etc)
• Able to shape ideas and concepts with business users and programs
• Able to assess complexity or likely solutions, value of different approaches and key uncertainties to de-risk through PoCs prototyping
• Able to assess third party vendors tools
• Able to create business cases for analysis/solutions with business users
• Lead the development of specifications and requirements to be handed to Tech/development teams
• Education: The ideal candidate would have an Engineering, Computer science, or sciences background, with significant experience developed practical data powered solutions to real-world operational problems.

• Lean-minded: we are looking for someone who brings a strong mindset of continuous improvement – someone who is naturally curious, committed to solving problems at the root, and driven to make things better every day.