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NORDEN is seeking a Data Scientist in Maritime Logistics to translate complex shipping data into simulations and actionable insights. You will work with Python to build models that test scenarios across vessels, ports, terminals and weather-driven constraints.
You will collaborate with commercial and operational teams, leveraging Prefect, Docker, Azure and Power BI to develop practical decision-support tools and visualisations.
Your models might start in Python. Their impact goes far beyond it.Your career in data science might only just be getting started. At NORDEN, you will apply it...
Place of work: Hellerup Deadline: 22. november 2026
Your career in data science might only just be getting started. At NORDEN, you will apply it to real logistics challenges involving vessels, ports, terminals, weather and cargo flows.
At NORDEN, moving cargo from A to B involves vessels, ports, terminals, weather, cargo flows and countless operational constraints. Understanding how all those pieces interact can make a real difference to the decisions we make and at the end our base margin.
As our new Data Scientist in Maritime Logistics, you will turn that complexity into models we can explore, test and learn from, helping us make better operational and commercial decisions.
You do not need years of experience or deep shipping knowledge. What matters is a strong foundation in Python and supply chains and the curiosity to apply it to the real world.
Because you get to take problems that exist in the real world and build models that help us understand what could happen next.
You might be modelling how vessels move through a logistics network, exploring the capacity of a terminal or testing what happens when weather, congestion or operational constraints change. Other times, you could be looking at historical data, improving an existing model or helping colleagues understand what different scenarios could mean commercially and operationally.
A central part of your role will be translating complex logistics systems into simulations that allow us to ask better questions before decisions are made in the real world.
You will work closely with commercial and operational colleagues while learning from experienced colleagues within analytics and shipping. Our broader Quantitative Analytics environment works with Python and technologies including Prefect, Docker and Azure and you will also gain practical experience developing solutions and visualisations using Power BI.
You will work where shipping, logistics and data science meet. Helping us continuously improve how we work with simulation, optimisation, analytics and software development.
To be more specific you will:
There is no need to understand every aspect of shipping or every modelling method from day one. What matters is that you have a good analytical foundation, an understanding of supply chains and logistics and the curiosity to keep learning.
Qualification we are looking for:
What matters just as much is how you work with people. You are curious about how complex operations actually work, you ask questions before jumping to the model and you can explain what your analysis means to colleagues who may never open a line of Python themselves.
We review and interview candidates on an ongoing basis.
We will do our best to get back to you at least within ten working days after the application deadline, 22 November 2026.
In NORDEN we value a range of perspectives, educational backgrounds and professional experience and encourages all qualified candidates to apply.
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We are a global provider of ocean- based freight services for bulk and project cargo of all sizes. We integrate freight solutions with port logistics, helping our customers optimise and decarbonise supply chains. We provide tailored solutions built on flexibility, reliability, and intelligence.
Our agile business model ensures stability by continuously adapting our fleet to market developments and customer needs.
Founded in 1871, NORDEN is one of Denmark’s oldest internationally operating shipping companies. Incorporated in Denmark, we are listed on Nasdaq Copenhagen as part of the OMX Nordic Large Cap index.
With offices across 6 continents, we are a truly integrated part of global trade.