Risk Modeling Data Scientist

il y a 7 jours


Paris, Île-de-France Descartes Underwriting Temps plein
About Descartes Underwriting

Descartes Underwriting is a leading provider of innovative risk management solutions for weather and climate-related risks. Our team of experts combines industry knowledge with scientific expertise to develop cutting-edge risk models and forecasting tools.

As a Risk Management Data Scientist, you will play a key role in developing and improving risk models and forecasting tools, collaborating with teams to understand needs and issues, and working autonomously to make technical decisions. Your missions will focus on improving or developing new algorithms, identifying and implementing new statistical methods, and taking part in the development of Descartes' technological platform.

We are seeking a highly motivated and results-oriented individual with a strong background in data science, statistics, and applied mathematics. Proficiency in Python and experience in climate modeling are highly valued.

About the Role

  • Develop and improve risk models and forecasting tools
  • Collaborate with teams to understand needs and issues
  • Work autonomously to make technical decisions
  • Take part in the development of Descartes' technological platform
  • Identify and implement new statistical methods to differentiate Descartes from its competitors

About You

  • Masters student in computer science, applied mathematics, statistics or meteorological studies
  • Proficiency in statistics and applied mathematics methods
  • Capability of building high-performance algorithms
  • Proficiency in Python

Why Join Descartes Underwriting?

  • Opportunity to work and learn with teams from the most prestigious schools and research labs in the world
  • Commitment from Descartes to its staff of continued learning and development
  • Work in a collaborative professional environment
  • Be part of an international team, passionate about diversity
  • Join a company with a true purpose – help us help our clients be more resilient towards climate risks

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