Descartes Underwriting is a B2B Insurtech company founded in Q4 2018 by seasoned entrepreneurs with a unique expertise in insurance, data science and risk modelling. Its scope is global. Descartes Underwriting’s core competency relies in its best-in class risk modelling and capacity to design bespoke and innovative insurance covers. We take advantage of new data sources growing exponentially coming from remote sensing technologies (e.g. Sentinel data) IOT and weather sensors. The team deploys cutting edge solutions which leverage artificial intelligence and machine learning techniques.
Descartes is awarded as “Insurtech of the year 2019” by Finance Innovation.
Descartes is incubated by “Le Swave”, http://swave.parisandco.paris/, dedicated to FinTech start-ups and Paris&Co and won the Challenge “Fintech for Tomorrow” (https://financefortomorrow.com).
In the product development team, your missions will focus on making a direct contribution to the development of new forecasting tools. You will be at the core of the company's strategy. Surrounded by a team of 15 people, you will evolve with us on concrete issues of our customers. As a Data Scientist your missions will be to (collaborative work):
Develop new algorithms, new risk models and new products for our clients (BtoB)
Participate in the development of Descartes' technological platform
Collaborate with the business team to understand customer issues
Master's student in computer science, or related field
Interested in modeling meteorological and natural hazards (fires, hail, tsunamis, earthquakes, ...)
Proficient in statistics, applied mathematics and machine learning methods
Capable of building high-performance algorithms
Curious and loves to solve problems