As a Data Scientist within our engineering department, you will grow step by step into a key role in supporting our worldwide projects. You won’t be expected to know everything from day one, you’ll learn by doing, supported by experienced engineers and data scientists.

At DEME, our engineering teams constantly make predictions: how vessels will perform, how soils will behave, what environmental conditions to expect, and what emissions may occur. With an increasing volume of investigations, sensor streams and geospatial data, we can calibrate and improve these predictions, turning engineering expertise into smarter, data-driven decisions.

As a Data Scientist within EDT, you’ll help bridge computer science and physical engineering. You will transform and analyze large-scale sensor and geospatial datasets and challenge traditional, physics-based engineering models with (hybrid) machine learning and probabilistic modelling. Your work will help projects worldwide make better predictions, supporting every phase from tender to preparation and execution, so we can confidently deliver extraordinary results in dredging, offshore energy, and marine infrastructure.

Your responsibilities

• Work with large and diverse engineering datasets, including sensor data from vessels and geospatial data, and learn how to clean, structure and analyze them.

• Support the development of data-driven models that help predict vessel performance, fuel consumption, soil behaviour and production rates.

• Learn how engineering assumptions and physical models work, and gradually challenge and improve them using data analysis and machine learning techniques.

• Experiment with Python- and SQL-based solutions, translating engineering questions into working code and reproducible analyses.

• Assist in building and improving databases and data pipelines, including spatial data storage and querying.

• Contribute to geospatial analysis and probabilistic thinking, understanding how location and variability influence engineering decisions.

• Collaborate closely with engineers from different disciplines (dredging, geotechnics, hydrodynamics) and learn to communicate data insights clearly and pragmatically.

• Support projects worldwide across tender, preparation and execution phases, helping teams make better predictions and informed decisions.

Your profile

• We are open to different educational backgrounds and career paths, as long as you are motivated to grow at the intersection of engineering and data science.

• A degree (or final-year student) in Data Science, Engineering, Computer Science or a related field.

• Interest in physical engineering domains such as dredging, offshore construction, geotechnics or hydrodynamics.

• Basic to intermediate coding skills in Python (and/or SQL), gained through studies, thesis work, internships or first professional experience.

• Understanding of how data is stored and structured, and a willingness to learn how databases and data modules are designed and built.

• Curiosity about machine learning and statistical methods, and how they can be applied to real-world, physics-based problems.

• Interest in working with physical data (sensor readings, flows, forces, geospatial data).

• Motivation to build things that matter—from smarter models to canals, vessels and offshore wind farms.

• Strong interpersonal skills and the desire to collaborate, learn from experts and translate between engineering and data science.

Our offer

• An extensive mobility program for a healthy work-life balance;

• a permanent training track which allows you to develop yourself personally and professionally;

• a stimulating, innovative workplace with numerous growth opportunities;

• a people-oriented environment with an interactive health program and a focus on employee wellbeing.