Data Scientist

Data Scientist – Geospatial AI \& Ocean Intelligence London | Early Career (1–4 Years) Help build the intelligence layer for the world's oceans. The ocean covers over 70% of our planet, yet it remains one of the least monitored environments on Earth. Samudra Oceans is changing that. They're building NIRA – an AI-powered ocean intelligence platform that transforms live environmental sensor data into actionable insight. Think Planet Labs for the ocean, combining autonomous sensing, AI and geospatial analytics to provide governments, industry and researchers with real-time understanding of marine ecosystems. Already deployed across the UK, Italy, Spain, India, Jamaica and Sri Lanka, they've been recognised with an Earthshot Prize nomination, won the COP29 People's Choice Award, and are now entering an exciting new phase of growth as they close their Series A funding. This is an opportunity to join before that growth accelerates. The Opportunity Samudra Oceans is looking for an ambitious early-career Data Scientist who wants to work where AI meets the physical world. This isn't another SaaS analytics or dashboard role. Based in London, you'll work with live environmental data collected from sensors deployed in oceans around the world, helping transform complex geospatial and time-series datasets into intelligence that supports conservation, offshore energy, infrastructure, aquaculture and climate resilience. Working alongside AI engineers, marine scientists and hardware specialists, you'll solve genuinely novel challenges that few data scientists ever get the opportunity to tackle. What You'll Be Doing * Build scalable pipelines to ingest, clean and structure geospatial and environmental sensor data from live marine deployments. * Analyse complex time-series, spatial and multi-analyte datasets to uncover meaningful environmental insights. * Apply statistical analysis and machine learning techniques to identify trends, anomalies and emerging patterns. * Support the development, evaluation and deployment of machine learning models alongside their AI team. * Collaborate closely with marine scientists and hardware engineers to understand sensor behaviour and ensure data quality. * Design intuitive, visually engaging dashboards and data visualisations that communicate complex scientific information clearly. * Help shape the future of an AI platform that's redefining how the world's oceans are monitored. * About You You'll likely have 1–4 years' experience in Data Science, Data Engineering, Geospatial Analytics or a related field. Exceptional graduates with outstanding project work will also be considered. You'll ideally have experience with: * Python * Pandas and NumPy * Geospatial libraries such as GeoPandas, Rasterio or PostGIS (or a strong desire to learn) * Time-series analysis * Machine learning fundamentals * Working with real-world datasets Experience in any of the following would be an advantage: * GIS or remote sensing * IoT or environmental sensing * Robotics or embedded systems * Physical AI * Cloud-based data pipelines Most importantly, you're curious, proactive and excited by solving difficult real-world problems. You'll Thrive Here If You... * Love learning new technologies quickly. * Enjoy solving complex, open-ended problems. * Take ownership and don't wait to be told what to do. * Want your work to have visible, real-world impact. * Enjoy collaborating across engineering, science and product teams. * Care about building elegant solutions and presenting data beautifully, not just making things work. Why Join Samudra Oceans? This is a rare opportunity to join one of the UK's most exciting climate technology companies at a pivotal stage of growth. You'll be joining a founding team that includes an Oxford Professor and experienced entrepreneurs with successful exits, building technology that's already making an impact worldwide. You'll benefit from: * Meaningful equity in a high-growth company. * Outstanding learning and career development. * Direct exposure to founders and senior technical leaders. * The opportunity to influence both the product and engineering culture. * High levels of trust, genuine autonomy, and minimal bureaucracy. * The chance to build AI that delivers measurable environmental impact on a global scale.