Climate Risk Data Scientist — Underwriting & R&D

Descartes Underwriting Old; Quartier Boieldieu; Sur place; EUR 40 000 - 60 000; Plein temps

Résumé du poste

A climate risk insurance firm based in France is seeking Data Scientists to join their expanding team. The role involves developing climate models and forecasting tools, contributing to algorithms and risk models for B2B clients. Candidates should have backgrounds in computer science, statistics, or meteorological studies, with proficiency in Python and machine learning. Successful applicants will work in a dynamic, international environment committed to resilience against climate challenges.

Prestations

Opportunity to work with top data scientists

Commitment to continued learning and development

Collaborative professional environment

Qualifications

• Masters student in computer science, applied mathematics, statistics or meteorological studies.
• Ideally a previous experience (long-term internship) in data science or climate modelling.
• Proficient in statistics, applied mathematics and machine learning methods.

Responsabilités

• Improve or develop algorithms and risk models for B2B clients.
• Identify and deploy statistical methods to differentiate from competitors.
• Participate in development of technological platform.

Connaissances

Statistics

Machine Learning

Python

Applied Mathematics

Data Science

Formation

Master's degree in computer science, applied mathematics, statistics or meteorological studies

PhD in physics or applied mathematics

Description du poste

A climate risk insurance firm based in France is seeking Data Scientists to join their expanding team. The role involves developing climate models and forecasting tools, contributing to algorithms and risk models for B2B clients. Candidates should have backgrounds in computer science, statistics, or meteorological studies, with proficiency in Python and machine learning. Successful applicants will work in a dynamic, international environment committed to resilience against climate challenges.