Data Scientist

Are you a hands-on Data Scientist motivated by solving complex, real-world optimization problems? At TORM, you will use maritime and market data to develop algorithms and decision-support solutions that improve market intelligence, fleet positioning and voyage planning.

At TORM, our commercial, operational, and technology teams work closely together to improve how we understand markets and operate our fleet.
As a Data Scientist, you'll take predictive and optimization models from development through to production, working with large-scale datasets covering vessels, voyages, weather, and markets.

Your main focus will be two connected areas: market intelligence (where models support freight-market forecasting and fleet-positioning decisions) and route optimization (where algorithms help identify realistic, risk-aware, and cost-efficient voyage alternatives).
You will own the work from problem framing and data exploration through modelling, validation, deployment, monitoring and communication of results.

Your Role

• Develop optimization, forecasting, and simulation models to support voyage planning, market intelligence, and commercial decision-making.

• Apply operations research, machine learning, statistical modelling, and graph algorithms to solve maritime business challenges.

• Work with large-scale structured and time-series datasets, including AIS, vessel, voyage, cargo, weather, bunker, and market data.

• Translate business needs into analytical solutions with clear objectives, assumptions, and success criteria.

• Build scalable Python-based solutions, pipelines, and APIs, and help move models into production.

• Validate and improve models using testing, back-testing, and business performance measures.

• Partner closely with business and technology teams to create practical decision-support tools.

• Identify new opportunities to drive value through data, AI, and optimization.

Your Profile
We are looking for a builder who combines mathematical depth with pragmatic problem-solving. You enjoy translating ambiguous business challenges into models that can be tested, trusted, and used in day-to-day decisions.

To do well in this role, you bring:

• A degree in quantitative fields such as Data Science, Mathematics, Statistics, Engineering, Computer Science, Economics, or similar.

• Around 2-3 years of professional experience in AI/ML, data, or software engineering, with recent hands-on predictive and optimization project experience

• Strong Python and SQL skills, writing clean, maintainable, and tested code

• Experience with probabilistic modelling, forecasting, mathematical optimization, machine learning, or similar analytical methods.

• Experience turning ideas and prototypes into solutions that people actually use.

• Ability to explain technical topics in a simple and practical way.

• Fluent in English.

It is a plus if you have experience with:

• Databricks, Spark, MLflow, Azure, or similar platforms.

• Optimization tools such as OR-Tools, Pyomo, Gurobi, or CPLEX.

• Logistics, routing, scheduling, geospatial data, or network analysis.

• Building dashboards, APIs, or decision-support tools.

• Shipping, logistics, transportation, commodity, or energy markets.

What We Offer
At TORM, we are committed to people, communities, and the environment. We offer a competitive salary along with a bonus scheme, pension, and flexible work hours to help you maintain a healthy personal and professional life.

We know life can bring unexpected challenges. That’s why we provide additional flexibility and support to help you balance your professional and personal responsibilities.

You’ll also have access to initiatives focused on continuous improvement, safety, and quality. Plus, our Sports Club, Employee Association, and Cultural Association offer plenty of opportunities for personal growth and connection with your colleagues.

At TORM, diversity and inclusion are integral to our performance. We welcome applicants from all backgrounds to share their unique perspectives and join us in shaping a diverse and inclusive future for the shipping industry.

How to Apply
Interested in joining the team? Submit your application via by 05 October 2026, but please note that screening will take place on a continuous basis.

For more information, please contact Uriel Chareca, Head of Group Data & AI, on Se telefonnummer på jobbank.dk.

We look forward to hearing from you!