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Data Scientist - London

Descartes Underwriting

London

Remote

GBP 50,000 - 80,000

Full time

Yesterday
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Job summary

A leading company in parametric insurance is seeking a Data Scientist in London. The role involves developing climate models and machine learning algorithms to enhance underwriting processes. Join a dynamic team dedicated to climate resilience and innovation.

Benefits

Competitive salary
Bonus and benefits
Home office days
Learning and development opportunities

Qualifications

  • Master’s student in relevant fields.
  • Previous experience in data science or climate modeling.

Responsibilities

  • Develop new algorithms and risk models for B2B clients.
  • Implement and deploy statistical and machine learning methods.
  • Collaborate with business teams to understand client needs.

Skills

Statistics
Applied Mathematics
Machine Learning
Python
English
Additional Language

Education

Master’s in Computer Science
Master’s in Applied Mathematics
Master’s in Statistics
Master’s in Meteorological Studies

Job description

Underwriting · London · Temporarily Remote
Data Scientist - London

ABOUT DESCARTES UNDERWRITING

Descartes was born out of the conviction that the ever-increasing complexity of risks faced by corporations, governments and vulnerable communities calls for a renewed approach in insurance. Our team brings together industry veterans from the most renowned institutions (AXA, SCOR, Swiss Re, Marsh, Aon, ...) and scientists on top of their field to bring underwriting excellence. After 5 years of existence, Descartes has secured a leading position in parametric insurance for weather and climate-related risks utilizing machine learning, real-time monitoring from satellite imagery & IoT. After a successful Series B raise of $120M USD, we launched Descartes Insurance, a 'full stack' insurer licensed to underwrite risk by the French regulator ACPR. With a growing corporate client base (400+ and counting), our diverse team is headquartered in Paris and operates out of our 17 global offices in North America, Europe, Australia, Singapore, Hong Kong and Japan. Descartes is trusted by a panel of A-rated (re)insurers to carry out its activities.

ABOUT YOUR ROLE

Due to rapid growth, we are seeking to expand our Data Science team across
our Underwriting functions and we are looking for a Data Scientist to join our team in
London
. As a Data scientist, your missions will focus on making direct contributions to
the development of new climate models or forecasting tools.

Your key missions will include:

  • Improving or developing new algorithms, new risk models and products for our B2B client;
  • Identifying, implementing and deploying new statistical and machine learning methods to differentiate Descartes from its competitors;
  • Participating in the development of Descartes’ technological platform;
  • Collaborating with the business team to understand client needs and issues to further strengthen our technical excellence;
  • Taking on management responsibilities as both you and the company develop;
  • Working autonomously and pragmatically to make appropriate technical
    decisions.

ABOUT YOU

EXPERIENCE & QUALIFICATIONS

  • Master’s student in computer science, applied mathematics, statistics or meteorological studies;
  • Ideally a previous experience (long-term internship) in data science or climate modeling

SKILLS

  • Proficient in statistics, applied mathematics and machine learning methods;
  • Capable of building high-performance algorithms;
  • Proficiency in Python (e.g. scikit-learn);
  • Fluency in English (written and verbal communication) required;
  • Good command of one additional language (e.g. Chinese, French, Italian, German, Spanish...) is valued.

MINDSET

  • Interested in weather and natural perils modeling (wildfires, hail, tsunamis, earthquakes etc);
  • Strong team spirit and ability to work under pressure;
  • Highly motivated, able to meet deadlines set;
  • Strong desire to learn and commitment to the organization’s mission;
  • Results oriented, high energy, with the ability to work in a dynamic and multi- cultural environment;
  • Motivated to help improving businesses’ and communities’ resilience to climate change;
  • Eagerness to work in an international environment.

WHY JOIN DESCARTES UNDERWRITING ?

  • Opportunity to work and learn with teams from the most prestigious schools and research labs in the world, allowing you to progress towards technical excellence;
  • Commitment from Descartes to its staff of continued learning and development (think annual seminars, training etc.) ;
  • Work in a collaborative & professional environment ;
  • Be part of an international team, passionate about diversity ;
  • Join a company with a true purpose – help us help our clients be more resilient towards climate risks;
  • A competitive salary, bonus and benefits;
  • You can benefit from a punctual home office days.

RECRUITMENT PROCESS

  • Step 1: Call and HR Interview with our Talent Recruiter
  • Step 2: Technical project
  • Step 3: Technical interview
  • Step 4: In person final round interview with the team

(Candidates can opt to have the manager interview before the technical project and interview)

At Descartes Underwriting, we cherish value of diversity whatever it may be. We are committed to fighting against all forms of discrimination and for equal opportunities. We foster an inclusive work environment that respects all differences.

With equal skills, all our positions are open to people with disabilities.

Department
Underwriting
Locations
London
Remote status
Temporarily Remote
Employment type
Full-time
London
About Descartes Underwriting

Descartes Underwriting offers a new generation of parametric insurance against climate, cyber and other emerging risks. Utilizing state-of-the-art risk modelling techniques and advanced technology, we collaborate with brokers around the world to protect corporate and public sector clients against natural catastrophes and weather risks.

careers@descartesunderwriting.com

Founded in 2019
Co-workers 200+
Underwriting · London · Temporarily Remote
Data Scientist - London
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