Make 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 Intern
- Collect 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.
Qualifications :
Your qualities and experience
You can move ahead as a Data Science Intern if you have:
- Enrollment in a masters 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 expect
- Internship 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 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 - DTED
- Where 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 its clear were a good match well make you an offer and look forward to welcoming you to the company.
Additional Information :
Want to know more or do you have a question about this internship E-mail us at
Apply before the 12th of January 2026 and give your talent a stage at Boskalis!
Remote Work :
No
Employment Type :
Intern
Make 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 operati...
Make 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 Intern
- Collect 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.
Qualifications :
Your qualities and experience
You can move ahead as a Data Science Intern if you have:
- Enrollment in a masters 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 expect
- Internship 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 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 - DTED
- Where 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 its clear were a good match well make you an offer and look forward to welcoming you to the company.
Additional Information :
Want to know more or do you have a question about this internship E-mail us at
Apply before the 12th of January 2026 and give your talent a stage at Boskalis!
Remote Work :
No
Employment Type :
Intern
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