Science jobs in United Kingdom

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.

We are looking for a motivated, curious, and solutions-oriented Product Manager with a strong data science and technical background to join our team in London/Athens. This role sits within one of our backend teams, requiring heavy collaboration with data scientists and backend engineers. You will be expected to translate complex data-driven workflows into clear product requirements and contribute to the development of technically sophisticated features. Help us shape the future of the Signal Ocean Platform, our core SaaS product. You’ll build deep knowledge of the shipping industry and our platform, bridging the gap between business needs and technical possibilities. Alongside product ownership, you’ll support the team in translating vision into execution, shaping solutions through collaborative product thinking and aligning with broader company objectives.

At Signal, we are committed to finding people who are respectful, inclusive, and team players, embodying these values in every role.

• 🧠 Build a strong understanding of our backend architecture, data pipelines, and APIs, and how they power our SaaS platform
• 📝Translate complex technical and data science concepts into clear, actionable product requirements for backend engineers and data scientists
• 📌Define and prioritize features related to backend services, analytics engines, and integrations, ensuring scalability, reliability, and performance
• 🤝Collaborate closely with data scientists and engineers to design solutions that transform raw data into usable insights for downstream applications
• 🗂️ Contribute to the collection and organization of product requirements and feedback from internal and external stakeholders, focusing on data-intensive workflows
• 🎯Ensure that backend developments align with overall product strategy, supporting front-end teams and client-facing features indirectly
• 🚧Support successful product delivery by removing blockers, facilitating cross-team communication, and ensuring alignment throughout the development lifecycle
• 📊Monitor backend performance, data quality, and system reliability through analytics and reporting, and use these insights to guide roadmap priorities
• 🌟Contribute to a positive, curious, and high-performing team culture

• Strong data science/software engineering background – demonstrated through hands-on experience
• 2+ years of experience as a Product Manager, preferably in backend, data platforms, or infrastructure-heavy products
• Very good technical data skills, including hands-on experience in SQL
• Experience with Python or R (mandatory) for understanding and working closely with data teams; familiarity with data visualization/BI tools is a plus
• Comfort with backend concepts such as data pipelines, APIs, distributed systems, and large-scale data processing
• Working experience with agile methodologies (Kanban or Scrum), ideally with hands-on experience in JIRA and Productboard
• Excellent communication, presentation, and organizational skills, with a collaborative mindset and ability to align technical and business teams
• Excellent command of written and spoken English (company’s working language)

• 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 work policy currently includes six on-site working days per month, during which our happy hour events take place. Starting January 2026, we’ll transition to a hybrid setup with nine on-site days per month.
• 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.
• Fitness benefits to support your health and wellbeing

Strict adherence to Confidentiality, Intellectual Property and Non-Compete provisions is expected.

All applications will be considered under the terms and conditions of confidentiality in accordance with the regulations of personal data protection.

We are an Equal Opportunity Employer committed to diversity and inclusion in the workplace. At Signal, we believe that diversity of opinions, approaches and viewpoints is key to our innovation and success and we encourage that with our hiring, development and rewards practices. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristics by law and take actions to eliminate those from our workplace.