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

Internship: Anomaly Detection for Smart Maintenance
Damen —Gorinchem
- Fulltime
- Engels
- Python
- Reiskostenvergoeding
Data Consultant
ITsPeople —Zaltbommel
- Hybride werken
- Microsoft Excel
- Engels
- SQL
Snel solliciteren
3 uur
Junior Data Analist
PALI Group —Den Bosch
- € 3.000 - € 3.750 per maand
- Fulltime
- Informatica
- Engels
- Databases
- Reiskostenvergoeding
- Zorgverzekering
Data Engineer
Magna Tyres Europe BV —Waalwijk
- € 4.250 - € 5.500 per maand
- E-mail
- Informatica
- ERP systemen
- SQL
- Reiskostenvergoeding
- Bedrijfsfitness
Snel solliciteren
14 dagen
Junior Data Consultant
Marcadus BV —Gorinchem
- E-mail
- Hybride werken
- Engels
- SQL
- Analytisch vermogen
Trainee digitaliseren & AI
De Mandemakers Groep —Waalwijk
- € 2.800 - € 3.500 per maand
- Parttime
- Informatica
- Kantoor
- Master
- Reiskostenvergoeding
- Personeelskorting
Snel solliciteren
Data Analist
Essent —Den Bosch
- € 3.920 - € 6.038 per maand
- Microsoft Excel
- Data-analyse
- Engels
- Reiskostenvergoeding
- Personeelskorting
Medior Data Analist
PALI Group —Den Bosch
- € 3.750 - € 4.500 per maand
- Fulltime
- Informatica
- Databases
- SQL
- Reiskostenvergoeding
- Zorgverzekering
Lead Data Engineer
IQVIA —Tiel
- Fulltime
- Hybride werken
- Bediening
- DevOps
- Engels
Analytics translator data science
Enexis —Den Bosch
- € 4.223 - € 6.033 per maand
- Parttime
- DevOps
- Engels
- SQL
- Reiskostenvergoeding
13 dagen
Data Engineer
Verandert Gewoon. —Den Bosch
- € 3.500 - € 6.500 per maand
- Parttime
- Informatica
- Azure
- DevOps
- Winstdeling
- Budget voor professionele ontwikkeling
Data Engineer
Hoppenbrouwers —Udenhout
- € 3.400 - € 6.280 per maand
- Fulltime
- Azure
- DevOps
- SQL
Internship: Fast Physics
Damen —Gorinchem
- Fulltime
- Engels
- Python
- Reiskostenvergoeding
Data Engineer
VolkerWessels Infra Digital —Vianen
- € 4.400 - € 5.500 per maand
- Online sollicitatie
- Hybride werken
- Azure
- Informatica
- Engels
- Reiskostenvergoeding
- Zorgverzekering
Senior data engineer data science
Enexis —Den Bosch
- € 4.953 - € 7.076 per maand
- Parttime
- SQL
- AWS
- Python
- Reiskostenvergoeding
Data Analist
De Jong Accountants en Adviseurs B.V. —Vught
- Fulltime
- Hybride werken
- Microsoft Excel
- Data-analyse
- Engels
- Reiskostenvergoeding
MES Data Engineer
Unica —Den Bosch
- € 3.000 - € 5.500 per maand
- Fulltime
- Engineering
- ERP systemen
- Kantoor
- Winstdeling
Vacature AI consultant
Transfer Solutions —Leerdam
- Azure
- Master
- SQL
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
2 dagen
Trainee E-commerce Automation & AI (Saniweb)
De Mandemakers Groep —Waalwijk
- € 2.800 - € 3.500 per maand
- Parttime
- Hybride werken
- Informatica
- Kantoor
- Master
- Reiskostenvergoeding
- Personeelskorting
Snel solliciteren
8 dagen

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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.

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data science vacatures in zaltbommel

Internship: Anomaly Detection for Smart Maintenance

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