Data Scientist

About Descartes Underwriting

Descartes Underwriting is a global corporate insurance group dedicated to managing climate and complex corporate risks through innovative approaches. Established in 2019, the company leverages advanced AI and data analytics to build parametric reinsurance products that provide swift, transparent indemnifications for triggering events worldwide.

Role Overview

As part of its rapid expansion, Descartes seeks Data Scientists in London to enhance its underwriting functions by developing innovative climate models and forecasting tools. This role emphasizes creating novel algorithms and risk products while supporting the company’s technological platform.

Key Responsibilities

• Developing and refining algorithms, risk models, and products tailored for B2B clients.
• Exploring and deploying cutting-edge statistical and machine learning techniques to differentiate the company's offerings.
• Contributing to the enhancement of Descartes' technology stack.
• Collaborating closely with business stakeholders to address client needs and improve technical solutions.
• Assuming leadership duties as personal and organizational growth progresses.
• Exercising independent and pragmatic judgment to drive appropriate technical decisions.

Candidate Profile

Experience & Qualifications:

• Master’s degree in data science, computer science, applied mathematics, statistics, meteorology, or related fields.
• Prior experience such as an extended internship in data science or climate modeling is advantageous.

Technical Skills:

• Strong foundation in statistics, applied mathematics, and machine learning methodologies.
• Ability to design and implement efficient, high-performance algorithms.
• Proficiency in Python programming, particularly with libraries like scikit-learn.
• Excellent verbal and written English communication skills.
• Knowledge of an additional language (e.g., Chinese, French, Italian, German, Spanish) is a plus.

Mindset and Attributes:

• Keen interest in natural hazard and weather modeling, including phenomena such as wildfires, hailstorms, tsunamis, and earthquakes.
• Team-oriented with entrepreneurial spirit and appreciation for diversity.
• Highly motivated and deadline-driven.
• Committed to continuous learning and aligning with the organization's mission.
• Energetic and results-focused, thriving in dynamic, multicultural environments.
• Curious about expanding knowledge in the insurance sector.

Why Join Descartes Underwriting?

• Collaborate and learn with experts from renowned academic and research backgrounds.
• Access ongoing professional development including seminars and training sessions.
• Work in a supportive, collaborative, and professional setting.
• Join a culturally diverse, international team passionate about inclusion.
• Contribute to a purpose-driven company helping clients build resilience to climate challenges.
• Competitive remuneration package inclusive of salary, bonuses, and benefits.
• Enjoy flexible work arrangements with designated home office days.

Diversity and Inclusion

Descartes is committed to fostering an inclusive workplace free from discrimination, promoting equal opportunities, and accommodating employees with disabilities.

Recruitment Process

• Initial HR discussion with a Talent Recruiter.
• Technical online assessment conducted via GitHub.
• Remote technical interview with a Data Scientist team member.
• Final in-person or remote team interview to meet data science colleagues and see the office environment.