Data Scientist

A.P. Moller - Maersk

Hybrid
Python for analytics and modeling
Statistics and stochastic modeling
Data-driven planning concepts
This role elevates our network design capability by building powerful simulation models that reveal how designs perform under real-world conditions

Job Summary

  • 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.
  • 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.

Matching Summary

This role elevates our network design capability by building powerful simulation models that reveal how designs perform under real-world conditions.

Skills & Requirements

Must-have

  • Python for analytics and modeling
  • Statistics and stochastic modeling
  • Data-driven planning concepts
  • Simulation model building
  • Data integration pipelines

Nice-to-have

  • Scientific and experimental mindset
  • Collaborative and cross-functional
  • Understanding of network operations
  • Clear communication of complex logic

Key Requirements

  • Proficiency in Python
  • Solid grounding in statistics
  • Familiarity with data science engineering practices
  • Understanding of supply chain processes

Work Rights

Not specified

Tailored Resume

Cover Letter