Lead Geospatial Data Scientist
Skills
Climate Risk InsuranceData ScienceDeep LearningFastapiGeospatial ModelingNatural Language ProcessingPostgresql
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- Hold an MSc or PhD in Data Science or Climate Science with industry experience (2+ years) or extensive industry experience (>5 years) without specific academic qualifications
- Possess experience with innovative insurance products from novel and new datasets
- Experienced in creating data pipelines and writing production-level code
- Proficient in Python and Postgres with the ability to choose the most effective tools for specific tasks
Nice to have
- Docker
- FastApi
- AWS/GCP
- Start-up experience
Day to day
- Develop and implement innovative methodologies for monitoring and assessing carbon and biodiversity changes using satellite remote sensing data
- Analyse and interpret climate data to assess risks and impacts to carbon projects and their ability to store/sequester carbon
- Lead the integration of remote sensing data with climate models and ground measurements to improve risk assessment accuracy
- Collaborate with insurance product teams to design insurance products
- Create a knowledge base for the team internally and be an advocate for the company mission externally
- Assist the CEO in delivering robust risk methodologies to price insurance policies