Data Scientist

With more than 100,000 colleagues across 130 countries, Maersk is a global leader in logistics—and 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 end‑to‑end products, digital innovation, and one of the world’s 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 real‑world conditions. You’ll drive the shift toward fully data‑driven, simulation‑validated planning—ensuring long‑term decisions are backed by transparent, rigorous, and reproducible evidence. By bridging analytics, modelling, and operational planning, you’ll 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. You’ll collaborate with talented professionals who keep global trade moving—shaping the flow of goods, ideas, and possibilities across the planet. Here, your growth truly matters. With access to world‑class learning, supportive leaders, and space to stretch your potential, you can build a career that takes you further than you imagined. You’ll be part of a diverse, inclusive community where you’re valued for your unique strengths and celebrated for the contributions you make. And with flexible hybrid working and industry‑leading benefits, you’ll have the freedom and support to thrive—professionally 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 you're ready to dive in, take on a big challenge, and make a visible impact from day one, let’s connect. We can’t wait to see the energy, ideas, and ambition you’ll 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.

We are happy to support your need for any adjustments during the application and hiring process. If you need special assistance or an accommodation to use our website, apply for a position, or to perform a job, please contact us by emailing  accommodationrequests@maersk.com.