Data Science Intern - Predictive Maintenance for Vessels

823 Damen Research Development & Innovation B.V.; Gorinchem; On-site; EUR 6,696 - 10,044; Full time

Benefits offered by this job

Academic mentoring

Travel allowance

Publication potential

Industry exposure

Cross-disciplinary team

Job summary

Damen Research Development & Innovation B.V. invites applications for a Data Science internship on a Smart Maintenance project.

You will help develop AI to detect abnormal vessel equipment behavior before failures, and you will choose a research topic in collaboration with the team to strengthen the anomaly-detection pipeline from data selection to deployment. You will preprocess sensor data, run experiments in Python, and collaborate with data scientists, engineers and vessel operations staff,

Qualifications

• Currently pursuing a Bachelor or Master in Data Science, Applied Mathematics, Computer Science, Mechanical/Electrical Engineering or related technical field.
• Ideal combination of data science and mechanical/electrical engineering background.
• Experience with statistics, Python and preferably machine learning or time-series analysis.
• Interest in predictive maintenance, sensor data or industrial/marine systems.
• Comfortable working with real-world operational data.
• Fluent communication in English.

Responsibilities

• Support the development and improvement of ML-based anomaly detection models for vessel equipment.
• Preprocess and analyse sensor/time-series data from onboard systems.
• Run experiments in Python, evaluating model performance against real and/or simulated data.
• Work closely with Data Scientists, maintenance engineers and vessel operations stakeholders.
• Document results and present findings to the team regularly.

Skills

Python

Time-series analysis

Statistics

Machine learning

Education

Bachelor's or Master's in Data Science, Applied Mathematics, Computer Science, Mechanical/Electrical Engineering

Job description

Damen Research Development & Innovation B.V. invites applications for a Data Science internship on a Smart Maintenance project.

You will help develop AI to detect abnormal vessel equipment behavior before failures, and you will choose a research topic in collaboration with the team to strengthen the anomaly-detection pipeline from data selection to deployment. You will preprocess sensor data, run experiments in Python, and collaborate with data scientists, engineers and vessel operations staff,