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Senior R&D Data Scientist

Il y a 2 mois

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

Descartes Underwriting is a pioneering insurance company that leverages cutting-edge technology and scientific expertise to provide innovative solutions for climate-related risks. Our team of industry veterans and scientists collaborate to develop and implement advanced models for weather and climate risk assessment.

About the Role

We are seeking a highly skilled Senior R&D Data Scientist to join our R&D team. As a key member of our team, you will contribute to the development of new climate models, collaborating with underwriting and business teams to ensure our products meet the needs of our clients.

Key Responsibilities
  • Conduct research on climate risk modeling and machine learning methods
  • Identify new and innovative ideas and test state-of-the-art methods based on recent research articles
  • Collaborate with underwriting and business teams to integrate our products into the underwriting process
  • Propose model developments or features aligned with our company's strategy
  • Lead the improvement and/or development of new models to enhance our understanding of climate risks
Requirements
  • Scientific academic background with a Research-oriented Master's Degree or PhD in Meteorological studies, Physics, or Applied Mathematics
  • 5-10 years of experience in R&D (PhD included)
  • Strong skills in Statistics, Applied mathematics, Physics, and Machine Learning methods
  • Proven track record of significant individual contributor roles for solving complex problems
What We Offer
  • Opportunity to work with a talented team of scientists and industry experts
  • Commitment to continued learning and development
  • Collaborative and professional work environment
  • International team with a passion for diversity
  • Competitive salary, bonus, and benefits
Recruitment Process
  • HR Interview with our Talent Recruiter
  • Technical online test
  • Remote technical interview with a R&D Data Scientist
  • Manager interview with your future manager
  • In-person team interview to meet our R&D Data Scientist team