20 beste vacatures voor de functie van data science in vreeswijk (nieuwe medewerkers gezocht)

Internship: Anomaly Detection for Smart Maintenance
Damen —Gorinchem
- Fulltime
- Engels
- Python
- Reiskostenvergoeding
Computer Vision Engineer
Tiro Partners —Utrecht
- Fulltime
- Azure
- Informatica
- Master
PhD position: Develop Hybrid Machine Learning for Global Soil Mapping
Universiteit Utrecht —Utrecht Oost
- € 3.059 - € 4.051 per maand
- Fulltime
- Doctor
- Schrijfvaardigheden
- Engels
Snel solliciteren
Senior Business Analyst - Data Capabilities
Rabobank —Utrecht
- € 5.030 - € 7.183 per maand
- Fulltime
- Hybride werken
- Azure
- Management
- DevOps
1 dag
Dataspecialist
ValueCare —Utrecht Binnenstad
- Parttime
- Hybride werken
- Data-analyse
- Kantoor
- Master
- Reiskostenvergoeding
9 uur
Senior Data Scientist
Capgemini Sogeti —Utrecht
- Parttime
- Data-analyse
- Engels
- Machinaal leren
- Reiskostenvergoeding
Analytics Engineer
Rotate —Utrecht
- Fulltime
- Engels
- Master
- SQL
Snel solliciteren
Stagiair Data & AI (start september 2026)
Samhoud —Utrecht
- € 800 per maand
- E-mail
- Microsoft Excel
- Engels
- Kantoor
AI Engineer
InShared Nederland B.V. —Leusden
- € 55.000 - € 81.000 per jaar
- Fulltime
- Hybride werken
- Azure
- Informatica
- Bachelor
- Reiskostenvergoeding
- Budget voor professionele ontwikkeling
Lead Data Engineer
IQVIA —Utrecht
- Fulltime
- Hybride werken
- Bediening
- DevOps
- Engels
AI Engineer
Capgemini —Utrecht
- Parttime
- Azure
- Data-analyse
- Engels
- Reiskostenvergoeding
Senior AI Solutions Engineer
Genmab —Utrecht
- € 69.600 - € 104.400 per jaar
- Online sollicitatie
- Informatica
- Azure
- Engels
13 uur
Data Engineer
ilionx —Utrecht
- € 4.500 - € 6.500 per maand
- Fulltime
- Hybride werken
- Azure
- SQL
- Bachelor
Azure Data Engineer
ilionx —Woerden
- € 4.500 - € 6.500 per maand
- Fulltime
- Hybride werken
- Azure
- SQL
- Bachelor
Data Engineer
DataVibes —Utrecht Leidsche Rijn
- € 4.200 - € 6.800 per maand
- Parttime
- Hybride werken
- Azure
- DevOps
- SQL
- Reiskostenvergoeding
- Flexibele werkuren
Snel solliciteren
AI Engineer
Enjins —Utrecht
- € 3.800 - € 4.400 per jaar
- Fulltime
- Hybride werken
- Azure
- Informatica
- Kantoor
- Budget voor professionele ontwikkeling
Snel solliciteren
AI Engineer Nieuwegein
BMN —Nieuwegein
- Fulltime
- Informatica
- Azure
- Informatica
- Bovenwettelijk betaald verlof
TRAINEESHIP DATA SCIENCE AND MARKETING ANALYTICS PROGRAM
Data Consulting Group —Houten
- Vanaf € 3.000 per maand
- Fulltime
- Hybride werken
- Doctor
- Marketing
- Kantoor
- Reiskostenvergoeding
- Telefoonplan
Snel solliciteren
1 dag
Internship: Fast Physics
Damen —Gorinchem
- Fulltime
- Engels
- Python
- Reiskostenvergoeding
Data Engineer
Umbrio —Maarssen
- Weekendbeschikbaarheid
- Informatica
- Analytisch vermogen
- ICT

Ik wil de nieuwste vacature-alerts ontvangen voor de functie van data science in vreeswijk

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Internship: Anomaly Detection for Smart Maintenance

Damen -
Gorinchem

Nu solliciteren

Vacaturegegevens

Fulltime

Secundaire arbeidsvoorwaarden

Reiskostenvergoeding

Kwalificaties

Toegepaste wiskunde
Wiskunde
Engels
Python
Datawetenschappen

Volledige vacaturetekst

We offer you an Ocean of Possibilities . Join our family.

About us

Damen aims to become the world's most sustainable and digitally connected shipyard. The Research, Development & Innovation (RD&I) department develops and implements the technology and know-how to achieve these ambitions. We actively assist the business in creating an innovative product portfolio and provide forward-thinking guidance to improve the quality and performance of Damen's products and services. You will be joining the Data Science team within Damen RD&I located in Gorinchem. Our department focuses on applying cutting-edge data and AI solutions to Damen's shipbuilding and maritime operations. The team includes domain experts in physics-informed machine learning, simulation acceleration, predictive maintenance, computer vision, and operational analytics. This internship is part of Smart Maintenance, a strategic project aimed at using AI to detect abnormal equipment behavior on board vessels before it leads to failure or unplanned downtime.

The role

As an intern, you will work on our Smart Maintenance project where we have developed a n anomaly detection algorithm, which aims to help engineers spot early signs of equipment problems, such as engines, pumps, propulsion and cooling systems, before they escalate into failures. Vessels generate huge amounts of sensor data during operation, and our goal is to turn that data into reliable, trustworthy signals that support maintenance decisions. You will contribute to an existing pipeline that learns what "healthy" equipment behavior looks like and flags deviations from it. Your primary focus will be on a dedicated research topic, to be selected together with the team, that strengthens a specific part of this pipeline — from data selection to detection reliability, health trending, explainability, or deployment. There is room to shape the exact topic based on your interests and background, either before or shortly after you start. This can be a thesis/graduate internship and could start from September onwards.

Possible research topics that we offer, on which the final scope is to be defined together:

Model transferability across vessels: exploring how an anomaly detection model trained on one vessel can be adapted to other vessels, machinery types, or operating environments — including retraining, recalibration, and drift detection strategies.

Reliable anomaly detection: improving detection models to minimize false alarms, adapt to different operating conditions, handle transient events, and quantify prediction confidence.

Health and degradation trending: moving beyond fault detection to identify gradual performance degradation, developing health indicators that give early warning of wear or efficiency loss.

Explainable AI and fault diagnosis: making anomaly models explainable, identifying which sensors or components drive an alert, and supporting root-cause analysis for engineers.

Defining "healthy" operation: identifying , selecting, and validating representative data from vessels operating under normal conditions, accounting for varying operating modes and environmental influences.

Key accountabilities

As an intern, you will:

Support the development and improvement of ML-based anomaly detection models for vessel equipment.

Preprocess and analyze sensor/time-series data from onboard systems.

Run experiments in Python, evaluating model performance against real and/or simulated data.

Work closely with our Data Scientists, maintenance engineers, and vessel operations stakeholders.

Document results and present findings to the team regularly.

Skills & Experience
We are looking for a student who:

Is currently pursuing a Bachelor or Master in Data Science , Applied Mathematics, Computer Science, Mechanical/Electrical Engineering, or a related technical field.

Ideally combines data science with a mechanical/electrical engineering background, with the ability to model equipment behavior and understand which sensors are informative for which failure modes.

Has experience with Statistics, Python, and ideally with machine learning (LSTMs) or time-series analysis.

Has an interest in predictive maintenance, sensor data or industrial/marine systems.

Is comfortable working with real-world, sometimes messy, operational data.

Communicates fluently in English.

What we offer

Mentoring at academic level throughout the internship.

Internship/graduation fee and travel allowance for the duration of the assignment.

Opportunity to contribute to a high-impact predictive maintenance project used in real vessel operations.

Research publication is likely possible with a possible extension of the internship period.

Exposure to a multidisciplinary team combining data science and maritime engineering expertise .

Other

Are you ready to sail into your new adventure at Damen? Don’t hesitate, send us your motivation letter and resume here.

Due to housing issues we cannot accept international students that do not have accommodation in the Netherlands yet.

Recruiter:

Liselotte van Veenendaal

Email:

[email protected]

Please apply through the Apply Button. Due to GDPR reasons we cannot accept applications by email.

Nu solliciteren

Verfijn je zoekopdracht

data science vacatures in vreeswijk

Internship: Anomaly Detection for Smart Maintenance

Computer Vision Engineer

PhD position: Develop Hybrid Machine Learning for Global Soil Mapping

Senior Business Analyst - Data Capabilities

Dataspecialist

Senior Data Scientist

Analytics Engineer

Stagiair Data & AI (start september 2026)

AI Engineer

Lead Data Engineer

AI Engineer

Senior AI Solutions Engineer

Data Engineer

Azure Data Engineer

Data Engineer

AI Engineer

AI Engineer Nieuwegein

TRAINEESHIP DATA SCIENCE AND MARKETING ANALYTICS PROGRAM

Internship: Fast Physics

Data Engineer

Ik wil de nieuwste vacature-alerts ontvangen voor de functie van data science in vreeswijk

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