At a Glance
- Tasks: Develop climate models and forecasting tools using machine learning techniques.
- Company: Descartes Underwriting, a forward-thinking company focused on climate risk.
- Benefits: Hybrid work model, continuous learning opportunities, and a collaborative environment.
- Other info: Join a dynamic team dedicated to innovation and professional growth.
- Why this job: Make a real impact in climate risk management while enhancing your data science skills.
- Qualifications: Master's students with strong statistics and programming backgrounds are preferred.
The predicted salary is between 60000 - 80000 £ per year.
Descartes Underwriting is seeking a Data Scientist to join their team in London.
This role involves making direct contributions to the development of climate models and forecasting tools.
As a Data Scientist, you will improve algorithms and risk models for B2B clients, and utilize machine learning methods to enhance Descartes’ technological platform.
Ideal candidates are Master's students with strong backgrounds in statistics and programming.
This position offers a collaborative work environment and opportunities for continuous learning and development.
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Climate Risk Data Scientist - ML Modeling for Insurance (Hybrid) employer: Descartes Underwriting
Descartes Underwriting is an exceptional employer, offering a dynamic and collaborative work environment in the heart of London. With a strong focus on employee growth, you will have access to continuous learning opportunities while contributing to innovative climate models that make a real impact in the insurance sector. Join us to be part of a forward-thinking team that values your expertise and fosters a culture of creativity and technological advancement.
