At a Glance
- Tasks: Transform live ocean data into actionable insights using AI and geospatial analytics.
- Company: Join Samudra Oceans, a pioneering climate tech company making waves in ocean intelligence.
- Benefits: Equity in a high-growth company, career development, and autonomy in your role.
- Other info: Collaborate with experts and tackle unique challenges in a dynamic environment.
- Why this job: Make a real-world impact on marine ecosystems while working with cutting-edge technology.
- Qualifications: 1-4 years in Data Science or related fields; strong Python skills preferred.
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...
- 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 already makes 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.
Data Scientist employer: MNRecruit
At Samudra Oceans, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration among our multidisciplinary team. Located in the vibrant city of London, we provide our employees with ample opportunities for professional growth, competitive benefits, and the chance to make a meaningful impact on ocean intelligence through cutting-edge geospatial AI technology.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist
✨Embrace Online Competitions
Get involved in online data science competitions like Kaggle or DrivenData. These platforms not only let you showcase your skills but also help you build a portfolio that stands out to hiring companies like MNRecruit when you're aiming for that entry-level role.
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Some tips for your application 🫡
Show Off Your Data Skills:As you're aiming for an entry-level data science role at MNRecruit, don't forget to highlight your proficiency in programming languages like Python or R. Dive into your CV and mention any relevant projects or coursework that demonstrate your data analysis skills or machine learning knowledge.
Include Relevant Projects:If you've done any data-related projects, whether in your studies or during a personal quest, showcase them in a portfolio. This gives us a tangible sense of your capabilities and shows your hands-on experience with data manipulation, visualisation, or model building.
Tailor Your Cover Letter:When crafting your cover letter, make sure to express your enthusiasm for data science and how this role at MNRecruit aligns with your career goals. Consider sharing why you’re drawn to data-driven decision-making and how you see yourself growing in this field.
Show Your Curiosity:In the data science world, curiosity is key! Mention any online courses or certifications you've pursued that complement your studies. This could be anything from a statistics certification to a data visualisation workshop. It shows us you're serious about learning and growing in this field.
How to prepare for a job interview at MNRecruit
✨Brush Up on Your Statistics
For a data science role, the interview may involve some statistical questions or problems. Make sure you're comfortable with concepts like probability, distributions, and hypothesis testing. This will not only help you answer questions but also show your analytical thinking.
✨Get Hands-On with Tools
Familiarise yourself with popular data science tools like Python, R, and SQL. If you're asked about specific projects, be ready to discuss the tools you used and how they contributed to your analysis. Showing that you not only know the theory but can apply it is essential!
✨Showcase Relevant Projects
As an entry-level candidate, your portfolio is crucial. Bring along examples of data projects you've worked on, whether during your studies or personal projects. Discuss the challenges you faced and how you overcame them, highlighting your problem-solving skills.
✨Prepare for Case Studies
Entry-level interviews in data science often include case studies where you'll have to analyse a dataset or solve a problem on the spot. Try out some practice case studies beforehand, so you're not caught off guard. It's all about displaying your thought process and how you tackle data-driven challenges!
