Data Scientist

With more than 100000 colleagues across 130 countries Maersk is a global leader in logisticsand a place where you can truly grow learn and thrive in a diverse international environment. We are an integrated container logistics company committed to simplifying and connecting supply chains for customers worldwide. Through seamless endtoend products digital innovation and one of the worlds most reliable delivery networks Maersk enables businesses to trade scale and succeed by moving goods to every corner of the globe.

Ready to redefine how Maersk designs its global network
This role elevates our network design capability by building powerful simulation models that reveal how designs perform under realworld conditions. Youll drive the shift toward fully datadriven simulationvalidated planningensuring longterm decisions are backed by transparent rigorous and reproducible evidence. By bridging analytics modelling and operational planning youll help replace assumptions with measurable performance and shape a smarter more resilient network for the future.

What we offer

To work at Maersk is to step into a world of opportunity and impact. Youll collaborate with talented professionals who keep global trade movingshaping the flow of goods ideas and possibilities across the planet. Here your growth truly matters. With access to worldclass learning supportive leaders and space to stretch your potential you can build a career that takes you further than you imagined. Youll be part of a diverse inclusive community where youre valued for your unique strengths and celebrated for the contributions you make. And with flexible hybrid working and industryleading benefits youll have the freedom and support to thriveprofessionally and personally

Your responsibilities:

• Build simulation models that evaluate network design performance under real-world variability (e.g. port congestion transit time distributions weather disruptions) using data-driven and evidence-based planning concepts
• Design and calibrate stochastic components (e.g. port delay distributions transit-time variability models) to ensure simulation realism
• Integrate internal data (historical schedules delays operational events) and external data (ports congestion indicators AIS-based movements macro-factors) into simulation pipelines that reflect realistic operational behaviour
• Analyze reported model deviations to quantify reliability exposure to variability systemic bottlenecks and sensitivity to operational changes
• Support the design of reliability metrics simulation KPIs and decision-support views that help planners evaluate trade-offs across options
• Validate simulation logic assumptions data inputs and outputs through structured testing and statistical checks
• Collaborate with internal teams to align models to external partners
• Document assumptions logic updates data dependencies and release notes in a clear and accessible format

Your accountabilities:

• High-quality and timely simulation outputs that support network design cycles
• Data integrity across simulation inputs and outputs with clear quality gates
• Transparent communication of results limitations and recommended actions
• Ensuring simulation outputs are reproducible validated and aligned with business needs
• Enabling users to interpret and act on reliability-related insights

To succeed in this role you can offer these competencies:

• Proficiency in Python for analytics modelling and building simulation components
• Solid grounding in statistics probability distributions and stochastic modelling concepts
• Familiarity with modern data science engineering practices including version control reproducible modelling workflows and cloud-based compute environments
• Scientific experimental mindset with the ability to test hypotheses quickly and iterate on modelling assumptions
• Understanding of network operations variability drivers and supply chain processes
• Ability to analyse complex logic validate models and debug data/logic behaviour
• Clear communication of modelling logic choices data dependencies and results
• Collaborative mindset and ability to operate across planning tech and business functions

If youre ready to dive in take on a big challenge and make a visible impact from day one lets connect. We cant wait to see the energy ideas and ambition youll bring to the team!

Maersk is committed to a diverse and inclusive workplace and we embrace different styles of thinking. Maersk is an equal opportunities employer and welcomes applicants without regard to race colour gender sex age religion creed national origin ancestry citizenship marital status sexual orientation physical or mental disability medical condition pregnancy or parental leave veteran status gender identity genetic information or any other characteristic protected by applicable law. We will consider qualified applicants with criminal histories in a manner consistent with all legal requirements.

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