Vessel Performance Engineer

About Signal Ocean: Signal Ocean is the technology arm of the Signal Group. Our primary product, The Signal Ocean Platform, helps shipping and commodities professionals navigate their complex decision making. Driven by advanced machine learning and artificial intelligence, our technology suite provides tailored, exclusive insights that support our clients in achieving performance and efficiency. By securely handling and combining private and public shipping data flows, and applying advanced analytics, insights are delivered over web and mobile applications, as well as through a rich set of APIs and SDKs. Our backend architecture is abstracted to modularly offer deep analytics capabilities that are leveraged in the solutions that we offer or can be directly embedded in our client’s system topologies.

About the Role: We're looking for an analytical, curious mind with a passion for shipping and technology to join our vessel performance team in Athens. In this role, you'll work at the intersection of data, engineering and commercial insight — helping shipowners and operators understand and improve how their vessels perform. You'll analyse performance and emissions data, contribute to the evolution of our analytical models, and support a range of projects across the business. This is a hands-on role suited to someone who enjoys solving complex problems, cares about getting the details right, and wants to grow their expertise in a collaborative, fast-moving environment. At Signal, we are committed to finding people who are respectful, inclusive, and team players, embodying these values in every role.

What you will do in this role:

• Contribute to and help evolve our analytical models and methodologies for vessel performance, bringing rigour and practical understanding to a core part of our offering.
• Help translate complex performance and emissions data into clear, actionable insights, developing a strong understanding of how our system works and the value it delivers.
• Work across a range of projects - from emissions compliance to commercial claims and fleet benchmarking - building your technical breadth and deepening your expertise.
• Collaborate with colleagues across the team, adapting to different timelines and requirements while developing a broader understanding of the business. As you grow, take ownership of specific analytical workflows and client deliverables.

What you bring to the team:

• 1–3 years of experience in a similar vessel or energy performance role
• Background in marine engineering, naval architecture, or a related technical/scientific discipline from a top institution
• Understanding of vessel performance metrics, hull and propeller efficiency, and Speed/Consumption analysis
• Understanding of noon report data and voyage data analysis
• Understanding of charter party clauses related to speed and consumption warranties
• Familiarity with maritime emissions frameworks (CII, EU ETS, FuelEU)
• Experience working with AIS data or vessel tracking datasets is a plus
• Passion for shipping and technology
• Programming experience in Python and SQL
• Basic statistics knowledge including regression analysis, outlier detection, and time series
• Exposure to machine learning or predictive modelling
• Good working knowledge of analytical and presentation tools (e.g. Excel, PowerPoint, Google Sheets, Google Slides)
• Ability to break down complex problems, translate data into actionable recommendations, and present findings clearly to technical and non-technical audiences.
• Business understanding and commercial awareness with a problem-solving mindset
• Excellent written and spoken English, with strong listening and communication skills
• Proactive and decisive, with sharp attention to detail and the ability to take ownership
• Collaborative team player who genuinely cares about the business and the people around them
• Adaptable and able to perform across diverse projects and tight timelines, with the guidance of senior team members

What we offer:

• Generous compensation with additional performance incentives.

• Coverage under the company’s collective health insurance plan.
• Opportunity to work alongside experienced people with deep knowledge in software engineering, data science & shipping business who are always eager to mentor.
• Signal’s hybrid remote work policy currently includes 9 working days at premises per month, during which happy hour events take place
• 2-4 weeks of onboarding training to prepare you for your new role, having the opportunity to meet about 30 trainers while diving deep into our products and/or the shipping world.
• Career growth opportunities and a structured development discussion every 4 months.
• Personal learning budget for training, seminars, conferences (750 to 2000 EUR annually depending on seniority).
• Regular team bonding events and activities.