Practical Data Science Internship - Time Series Sequential AIS Data Classification

Working at Boskalis is about creating new horizons and sustainable solutions. In a world where population growth, an increase of global trade, demand for (new) energy and climate change are driving forces, we challenge you to make your mark in finding innovative and relevant solutions for complex infrastructural and marine projects.Dredging is one of our traditional core activities and Boskalis is famous for projects like the land reclamation for Manila International Airport, Pulau Tekong, Singapore’s first polder or the expansion of the Suez Canal. Creation of new nature areas like the Markerwadden is something we contribute too. In your job you will work for the dredging division. Boskalis have been protecting coastlines, reclaiming land and developing infrastructure for over 100 years. That’s a lot of ingenuity, talent and commitment. When we bring all of this together, we become more than the sum of our parts and can seize opportunities others miss. This is how we collaborate and make the difference together. In our lives, in our work and in the lives of people across the world.Job DescriptionMake your mark as a Data Science Intern – Time Series Sequential AIS Data Classification at Boskalis!In this role, you will help enhance our existing machine learning model to better classify vessel activities from AIS data. Your work will broaden the scope of the model to recognize additional operational types, enabling more accurate and versatile activity detection. This internship offers the opportunity to apply and expand your data science skills in a challenging marine environment, working on an R&D project with real-world impact.Your Responsibilities As a Data Science InternCollect and preprocess AIS datasets covering various dredging operation types. Explore advanced model architectures (e.g., generalized vs. multi-stage pipelines). Train, test, and evaluate machine learning models for sequential data classification. Integrate updated model(s) into the Databricks pipeline and collaborate with colleagues on deployment. Document methodologies, experiments, and results, and present findings to stakeholders. QualificationsYour qualities and experienceYou can move ahead as a Data Science Intern if you have:Enrollment in a master’s program in computer science, data science, AI, marine engineering, or related field. Proficiency in Python and familiarity with machine learning concepts, particularly sequential data classification. [Optional] Understanding of marine operations terminology and AIS data structures (training will be provided). Ability to use Git for version control. Strong communication skills (in English) and a collaborative, problem-solving mindset. What You Can ExpectInternship mentoring: we offer you the opportunity to get the most out of your internship by providing the right guidance. Warm welcome: you can count on a warm welcome, so you quickly feel at home at Boskalis. Salary and more: as an intern you will receive an internship allowance. In addition, we offer a fun working environment with many challenges. A dynamic working environment: an internship where you can learn a lot from a leading company and be part of a diverse team of experts. Young Boskalis: Are you under 36? Then join Young Boskalis! Monthly social and sports activities, ranging from pub quizzes, yoga, boot camps and an annual sailing race. Networking and knowledge sharing are also an important part of Young Boskalis. Extra information Your team: Market Intelligence - DTEDWhere you will work: Papendrecht. For office-based roles, in consultation with your manager and your team, you work partly at home and partly in the office. Full/part-time job: The position of Data Science Intern is a full-time (40 hours a week) job. Next steps: Apply easily by completing the online application form. Interviews are held online or in the office. Once it’s clear we’re a good match, we’ll make you an offer – and look forward to welcoming you to the company. Additional InformationWant to know more or do you have a question about this internship? E-mail us at campus@boskalis.comApply before the 12th of January 2026 and give your talent a stage at Boskalis!