Senior Network Analytics Engineer
On-site · Copenhagen, Capital Region, Denmark
Job Summary
In this senior role, you will set direction for optimization and modelling that guides planning and network design at Maersk. Responsibilities include designing advanced optimisation models and heuristics, framing complex planning problems, building reusable modelling components, and improving existing optimisation logic. You will also mentor junior analysts, ensure robust validation and successful implementation of new modelling features, and communicate results to stakeholders. Key qualifications include a Master's or PhD in a quantitative field, extensive experience with optimisation models, strong programming skills in Python and C++, and expertise in Operations Research.
Required Qualifications
- Master’s degree or PhD in engineering, mathematics, computer science or a related quantitative field with exposure to optimisation or modelling
- Documented experience designing and deploying optimisation models or decision support algorithms in operational or production environments
- Expert level Python skills
- Experience applying C++ for performance critical components
- Strong SQL capabilities
- Advanced knowledge of Operations Research, including Mixed Integer Programming, graph theory, decomposition methods, and large-scale optimisation
- Strength in problem framing, algorithm design, empirical validation and scaling solutions
- Confident use of Git and modern software engineering workflows
- Ability to collaborate smoothly across diverse functions
- Ability to lead change by guiding stakeholders through adoption
- Disciplined approach to documentation, testing, version control and reproducibility
Desired Qualifications
- Familiarity with GPU based acceleration or parallel computation for optimizing large problem instances
- Experience with AI or machine learning methods
- Knowledge of deep learning architectures and training workflows
- Background in advanced statistics or statistical inference
- Experience with time series modelling or forecasting techniques
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