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AI Data Scientist – Ocean Intelligence
London | Early Career (2–5 Years)
Build AI that helps the world understand its oceans. The ocean covers more than 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 combines autonomous sensing, software and machine learning to transform live environmental data into actionable insight. Their technology enables governments, industry and researchers to better understand, protect and manage marine environments through real-time intelligence.
With deployments already live across the UK, Italy, Spain, India, Jamaica and Sri Lanka, an Earthshot Prize nomination, a COP29 People's Choice Award, and Series A funding underway, this is an exciting opportunity to join a company entering its next phase of growth.
The Opportunity
Samudra Oceans is looking for an AI Data Scientist who enjoys building software as much as analysing data. This role is ideal for someone with strong Python skills who wants to apply machine learning to real-world problems, working with live environmental sensor data collected from deployments around the globe.
Rather than producing reports or dashboards, you'll be developing the data pipelines, AI models and software that power the next generation of ocean intelligence.
You'll work alongside AI engineers, hardware engineers and marine scientists in a highly collaborative environment where software directly interacts with the physical world.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
What You'll Be Doing
- Build robust Python applications and scalable data pipelines that ingest and process live environmental sensor data.
- Develop software that transforms raw sensor data into reliable, actionable intelligence.
- Apply machine learning techniques to identify patterns, anomalies and environmental events.
- Engineer features, evaluate models and help deploy AI into production.
- Work with complex time-series and geospatial datasets generated by real-world marine deployments.
- Collaborate closely with hardware engineers and marine scientists to understand how environmental conditions influence sensor behaviour and data quality.
- Create intuitive data visualisations that communicate complex information clearly to customers and stakeholders.
- Help shape the future of an AI platform solving real-world environmental challenges.
About You
You'll probably have 2–5 years' experience as a Data Scientist, Machine Learning Engineer, Software Engineer or in a similar technical role. You're someone who enjoys writing clean, maintainable code and applying AI to solve challenging problems.
You'll have experience with:
- Strong Python programming
- Pandas and NumPy
- Machine learning techniques and model evaluation
- Building data pipelines and processing complex datasets
- Writing production-quality software
Experience with any of the following would be an advantage:
- Geospatial data or GIS
- Remote sensing
- Environmental or scientific datasets
- Cloud platforms
- IoT, robotics or embedded systems
- Sensor data processing


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You'll Thrive Here If You...
- Love solving difficult technical problems.
- Enjoy writing software, not just analysing data.
- Take ownership and move quickly.
- Like working across AI, engineering and science.
- Want to see your work deployed into real-world applications.
- Are excited by the opportunity to build technology with genuine environmental impact.
Why Join Samudra Oceans?
This is an opportunity to join an ambitious climate technology company before its next phase of growth.
You'll be working on genuinely novel technology, building AI products that monitor and understand one of the world's most important ecosystems.
In return, you'll receive:
- Meaningful equity in a high-growth company.
- Outstanding opportunities for learning and career progression.
- Direct access to experienced founders and technical leaders.
- The opportunity to influence both the product and engineering direction.
- High trust, real autonomy and minimal bureaucracy.
- The chance to apply AI to one of the world's biggest environmental challenges.
Apply through MNRecruit
MNRecruit is proud to be the exclusive recruitment partner to Samudra Oceans on this appointment.
If you're an ambitious software-focused Data Scientist who wants to build AI products with real-world impact, we'd love to hear from you.
This is an opportunity to combine software engineering, machine learning and environmental technology while helping shape the future of ocean intelligence.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
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