Senior Operations Research Engineer, Ocean Network Optimization

At Maersk, we connect people, businesses and markets across the world through one of the most complex logistics networks ever built. As a Senior Operations Research Engineer, Ocean Network Optimization, you will join a team at the forefront of transforming how global trade moves. Leveraging advanced analytics, mathematical modelling and optimisation algorithms, we solve some of the industry's toughest challenges, from improving shipping container flows and vessel routing to designing resilient ocean networks that balance cost, service, sustainability and reliability. Your work will directly influence operational and strategic decisions that shape the future of global supply chains. This is an opportunity to do more than build models. You will define and solve high-impact problems, lead innovative optimisation capabilities from concept through implementation, and help drive the shift towards data-driven, model-led decision making across Maersk's global ocean network. Working alongside talented colleagues from diverse backgrounds and disciplines, you will combine deep technical expertise with practical business impact, mentoring others and turning complex ideas into scalable solutions. If you are excited by tackling real-world problems at global scale and seeing your work create measurable value across one of the world's largest ocean logistics networks, Maersk offers an unparalleled platform to make your mark.

Within your impact and responsibilities, you will: Design advanced optimisation models and heuristics and take them from idea to validated and implemented capability

Frame complex planning problems as clear mathematical formulations with explicit assumptions and success criteria

Build reusable modelling components that follow modern engineering standards and integrate with production data systems

Improve existing optimisation logic by closing gaps and lifting performance and scalability

Run structured experiments to compare alternatives and verify model behaviour with data

Translate findings into clear recommendations and partner with stakeholders to drive implementation and adoption

Shape the innovation roadmap by identifying new application areas and accelerating promising concepts into pilots and scale

Coach junior analysts and raise standards in modelling practice, documentation and code quality

Communicate results, trade offs and limitations in simple and decision-oriented language

What you'll be accountable for: Integrity, stability and performance of optimisation logic used in planning and decision making

Robust validation and successful implementation of new modelling features with clear readiness criteria

Clear documentation of assumptions, constraints and data dependencies to support transparent decisions

A value based and well prioritised modelling backlog focused on measurable business impact and time to value

Demonstrated improvements in modelling logic, scalability and performance in real planning scenarios

Effective adoption and correct use of optimisation capabilities across the user community with visible change outcomes

Active contribution to the optimisation innovation pipeline by shaping new concepts, evaluating emerging methods and advancing promising ideas toward pilots and scale

Leadership in the transformation agenda by helping teams shift from manual work to model driven planning and ensuring new solutions are embedded and used with confidence

You can offer: A PhD or master's degree 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 and 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 and to build strong working relationships that support clear communication, shared problem solving and aligned decision making

Ability to lead change by guiding stakeholders through adoption, explaining trade offs and ensuring appropriate use of models

A disciplined approach to documentation, testing, version control and reproducibility

5 days per week onsite presence at the advertised location

It is a plus if you also bring: Familiarity with GPU based acceleration or parallel computation for optimising 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

Maersk is an integrated container logistics company working to connect and simplify its customer's supply chains. As the global leader in shipping services, the company operates in 130 countries and employs roughly 100,000 people. With simple end-to-end offering of products and digital services, seamless customer engagement and a superior end-to-end delivery network, Maersk enables its customers to trade and grow by transporting goods anywhere - all over the world. For more information click here. All the way.

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 [email protected].

#J-18808-Ljbffr