Arbol is a global climate risk coverage platform & FinTech company offering full-service solutions for any business looking to analyze & mitigate exposure to climate risk. Arbol's products offer parametric coverage which pays out based on objective data triggers rather than subjective assessment of loss. Arbol's key differentiator versus traditional InsurTech or climate analytics platforms is the complete ecosystem it has built to address climate risk. This ecosystem includes a massive climate data infrastructure, scalable product development, automated, instant pricing using an artificial intelligence underwriter, blockchain-powered operational efficiencies, & non-traditional risk capacity bringing capital from non-insurance sources. By combining all these factors, Arbol brings scale, transparency, & efficiency to parametric coverage.
What You'll Be Doing
In this role, you will research & implement machine learning techniques for modeling climate data. On top of more traditional variables (think temperature or precipitation), you will work with alternative data sources like radar & satellite imagery to improve existing products & develop new ones. This will require exciting technical insights coupled with business understanding gained through interaction with other teams. We are looking for someone with experience in AI engineering (e.g., model development & deployment) & who is interested in growing into a more analytical AI scientist role.
You can expect to:
Design & implement machine learning approaches for forecasting & generative modeling (PyTorch, Tensorflow, Keras, sklearn)
Build robust training & validation pipelines for large, climate datasets (Python)
Work with risk & insurance teams to perform business-critical analytics
About the Team
The Data Science team is responsible for making sense of the terabytes of weather data Arbol has at its disposal. It forms the connective tissue between more client-facing teams, such as insurance, & back-end roles like data engineering or risk management. You'll be joining a small team of data scientists, engineers & meteorologists & will have a unique opportunity to impact many levels of the firm, such as pricing & product development. This is an ideal position for someone interested in building machine learning systems for climate data while taking a deep dive into the parametric insurance industry.