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Data Science Intern - SBM Offshore

Internship – Monaco – IT and Engineering

Job Description

ProPath is excited to highlight a high-impact internship opportunity at SBM Offshore, a global leader in deepwater ocean infrastructure. Headquartered in the Netherlands and with operations worldwide, SBM Offshore drives innovation in energy production and sustainability through its "True. Blue. Transition." strategy. This Data Science Internship in Monaco places you within the company’s Digital Development and Innovation team, where you will work on data-driven solutions that support both operational excellence and energy transition goals.

Main Tasks and Responsibilities

  • Assist with data gathering, cleaning, and preparation for machine learning applications
  • Support the implementation of statistical models and machine learning algorithms
  • Participate in the evaluation and refinement of predictive models
  • Create visualizations and document methods and results for both technical and non-technical audiences
  • Help maintain and improve internal tools for data processing and model monitoring
  • Collaborate with team members in Agile environments using tools such as Git and Azure DevOps

Job Requirements

  • Currently enrolled in a Master’s or Engineering program in Data Science, Computer Science, Applied Mathematics, or similar
  • Strong foundation in statistics, linear algebra, and programming
  • Proficiency in Python and libraries like NumPy, Pandas, scikit-learn, and Matplotlib
  • Experience working with time series, forecasting, or signal processing is a plus
  • Familiarity with Git and basic machine learning concepts
  • Strong analytical skills and attention to detail
  • Fluent in spoken and written English

Apply Now


Tips to Help You Stand Out for This Internship

Highlight your hands-on Python experience

Mention specific data science projects or coursework where you applied Python tools for analysis, modeling, or visualization.

Show your understanding of time series or forecasting

If you’ve worked on a time-based dataset, describe how you prepared and analyzed it, especially if related to energy, engineering, or environmental data.

Demonstrate strong communication skills

SBM values clarity with both technical and non-technical audiences. If you've presented findings, written technical reports, or explained results to others, make it part of your application.

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