Data Scientist (machine learning)
Core
Building statistical and machine learning models for insurance solutions covering climate-related risks in agriculture, serving both insurers and farmers.
Role type
Machine learning data scientist (statistics & deep learning)
Builds
Production ML models for agricultural insurance claims and risk assessment
Domain
Insurance, Agriculture, Climate Risk, Remote Sensing
Deliverable
production ML models
Required skills
Python, Statistics, Model validation on small samples, Machine learning on image data, Production deployment, Model explanation
Preferred skills
Geospatial data, Remote sensing
Technologies
Python
Responsibilities
Develop and validate statistical models on weather and agricultural data; Transition to building and validating deep learning models on satellite imagery; Deploy models to production; Explain model logic and limitations to non-technical stakeholders (insurers, internal teams)
Seniority
Individual Contributor, Early-stage team member