Climate Risk Data Scientist β€” ML & Modeling for Underwriting in London

Climate Risk Data Scientist β€” ML & Modeling for Underwriting in London

London Full-Time 50000 - 70000 Β£ / year (est.) No working from home possible
Descartesunderwriting

At a Glance

  • Tasks: Develop climate models and improve algorithms to tackle client needs.
  • Company: Descartesunderwriting, a leader in climate risk solutions.
  • Benefits: Gain hands-on experience in a dynamic team with growth opportunities.
  • Other info: Collaborative environment focused on innovation and sustainability.
  • Why this job: Make a real impact in building resilience against climate risks.
  • Qualifications: Master's student in a relevant field with stats and Python skills.

The predicted salary is between 50000 - 70000 Β£ per year.

Descartesunderwriting is looking for Data Scientists in London to enhance their Data Science team. Responsibilities include developing climate models, improving algorithms, and collaborating with the business team to address client needs.

The ideal candidate is a Master's student in a relevant field and must be proficient in statistics and Python. Join a dynamic team and contribute to building resilience against climate risks!

Climate Risk Data Scientist β€” ML & Modeling for Underwriting in London employer: Descartesunderwriting

Descartesunderwriting is an exceptional employer that fosters a collaborative and innovative work culture in the heart of London. With a strong focus on employee growth, we offer opportunities for professional development and the chance to work on impactful projects that address climate risks. Join us to be part of a dynamic team dedicated to making a difference while enjoying a supportive environment that values your contributions.

Descartesunderwriting

Contact Details:

Descartesunderwriting Recruitment Team

We think you need these skills to ace Climate Risk Data Scientist β€” ML & Modeling for Underwriting in London

Python
SQL
Communication Skills
Problem-Solving Skills
Automation
Data Engineering
Attention to Detail