About Us
Ocean Ledger provides precision geospatial analytics for coastal resiliency. Our software assesses, predicts and monitors physical & nature-related risk to nearshore assets, leveraging multi-modal analytics (shoreline change, underwater topography & natural defences) to target & monitor suitable interventions. Our mission is enable coastal resiliency at every level - for businesses, governments and communities.
Our scientific foundations were developed over 8 years of R&D at the German Aerospace Center by our Chief Scientific Officer, Dimos Traganos. Since spinning out, we have created 13 data products to help us assess and predict geomorphic changes in the coastal environment and quantify natural capital accounts for seagrass, coral and mangroves.
We solve a critical gap for scalable, nearshore insights for P&C underwriters, risk advisors & environmental & engineering firms to access the localised, material insight they need to detect anomalies, before & after event analysis and targeted interventions to reduce shoreline erosion or natural defence degradation. We have completed 3 paid pilots, secured a partnership with Planet and just closed a VC pre-seed investment round to invest in product development and sales & marketing processes to generate meaningful customer feedback loops.
The Opportunity
As a core member of the data engineering team, working directly with the Head of Data & Analytics and Chief Scientific Officer to build and advance state-of-the-art coastal risk models, anomaly detection and insights to guide & monitor critical natural & built assets. You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers.
Responsibilities
- Analyze raw data: assessing quality, cleansing, structuring for downstream processing
- Design accurate and scalable prediction algorithms
- Collaborate with engineering team to bring analytical prototypes to production
- Generate actionable insights for business improvements
What We Care About
- Transparency: Applies to both our internal ways of working and the value we bring to customers - ensuring they are equipped with the facts to drive meaningful change in their business.
- Rigour: We have a sleeves rolled up attitude. Just like our projects, we get stuck in to build the business we believe in.
- Big-picture optimism:Our team, our culture and our product should spark joy. Even when the going gets tough, we remember the small acts of kindness.
- Personal Growth:We create opportunities for the team to up-skill and make their role their own.
- Legacy: We consider the long term impact on the planet in every decision. We want our business to leave our people, our customers and the world in a better place than we found them.
Essential Skills And Experience
- MSc/PhD in the field of Computer Science, Geography, Ecology, Oceanography, Physics, Mathematics, or similar
- 3+ years of experience of:
- Utilising imagery, spatial, and tabular data
- Experience statistical and machine learning
- Python and or R programming languages
- Attention to detail and the ability to deliver results under strict deadlines
- Understands “progress over perfection”
- Ability to adapt quickly and learn on the fly
- Honest communication style, asks questions and offers constructive opinions
- Excellent verbal and written communication skills in English with the ability to work effectively in a remote/hybrid team environment
- Experience working within a team environment
Desirable Experience & Qualifications
- Parallel programming and computation
- Experience with deep learning (CNNs, LSTM, RNNs, etc.) or Bayesian methods and forecasting
- Programming package creation
- Experience with coastal and environmental topics
Compensation And Benefits
Salary: Highly competitive
Benefits: Pension scheme, generous holiday allowance, employee stock ownership plan, strong mentorship, training, and IT budget, as well as the ability to build a vast network and operational skillset
Location: In-person (Central London, UK)
Visa Sponsorship:The company is unable to provide UK visa sponsorship
