MSC Cruises

Data Scientist, Energy Efficiency and Vessel Performance

Recruiter:
MSC Cruises
Category:
Land Based Jobs
Positions:
Marine, Technical & Engineering, IT & Digital Systems
Published:
February 14, 2026

Where passion meets opportunity

The best of your adventures is the one you have yet to sail!

Your Purpose

We are looking for a Data Scientist to support vessel energy efficiency and emissions reduction initiatives across our cruise fleet. This role focuses on analysing vessel and operational data, developing predictive and optimisation models, and translating insights into practical actions for shipboard and shore teams.


You will help optimise fuel consumption, improve hull and engine performance, and support compliance with IMO and EU sustainability regulations.

Your Impact

  • Data Analysis & Insights: Analyse large-scale vessel and operational datasets, including fuel consumption, engine performance, speed, and shore power usage. Identify fuel-saving and energy-efficiency opportunities and translate findings into clear, actionable recommendations.
  • Performance Monitoring & Optimisation: Monitor and assess hull performance, Specific Fuel Oil Consumption (SFOC) and propulsive / non propulsive power efficiency. Track vessel performance over time and flag inefficiencies or deviations.
  • Modelling & Forecasting: Develop predictive models for fuel and energy demand, vessel performance and operational efficiency, emissions, and sustainability reporting. Apply optimization techniques to support operational decision-making.
  • Collaboration & Communication: Work closely with operational departments and IT departments. Clearly explain data-driven insights to non-technical audiences, including ship crews and senior management.
  • Digital Tools & Systems: Develop, validate, and maintain analytical tools and automated workflows. Support integration of models into ship-to-shore digital systems. Ensure models remain accurate and relevant as operating conditions evolve.

Your Journey so far

  • Bachelor’s or master’s degree level in data science, Computer Science, Engineering, or a related field
  • 3+ years of experience in data science, analytics, or performance optimisation. Experience in maritime, energy, transportation, or industrial sectors is a strong advantage.
  • Strong knowledge of machine learning, AI techniques and statistical analysis.
  • Python or R (required), SQL (preferred) and data visualisation tools such as Power BI (required).
  • Experience working with operational, energy, or performance data. Familiarity with maritime operations, vessel performance, or energy efficiency concepts is highly desirable.
  • Ability to translate complex technical results into clear insights and recommendations. Comfortable working with cross-functional teams and shipboard personnel.

Your Essentials

The existing right to live and work in the UK is preferred. 

Our commitment

We are committed to building a future that values diverse perspectives, embraces the world beyond borders, and fosters an inclusive environment where every individual feels valued, respected and empowered to be their authentic selves. Our commitment extends to taking meaningful, measurable actions that have a long-term positive impact on our guests, our employees and our planet.

Ready to turn your passion into something extraordinary? Join us at MSC Cruises, where new opportunities await. Apply today to be part of a global team that is pushing boundaries and achieving something remarkable. Your journey starts here!

MSC Cruises

MSC Cruises

careers.msccruises.com

WHERE PASSION MEETS OPPORTUNITY

MSC Cruises is the world’s third largest cruise line and the market leader in Europe with a strong and growing presence in North America. A global cruise brand with 23 modern ships offering cruises across five continents, guests can visit more than 100 countries worldwide with more than 300 destinations, making unforgettable memories and enjoying the finest hospitality.

Join us and be part of a global family where together we achieve the extraordinary!


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