Data Scientist, Descartes Underwriting
+ Bonus
Parametric insurance for climate, cyber & emerging risks
Be an early applicant
Parametric insurance for climate, cyber & emerging risks
201-500 employees
Be an early applicant
+ Bonus
201-500 employees
Company mission
To help companies and communities build resilience in a world at risk.
Role
Who you are
- Master’s student in data science, computer science, applied mathematics, statistics or meteorological studies or related
- Ideally a previous experience (long-term internship) in data science or climate modeling is valued
- 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) is required
- Good command of one additional language (e.g. Chinese, French, Italian, German, Spanish...) is valued
- Interested in weather and natural perils modeling (wildfires, hail, tsunamis, earthquakes etc)
- Excellent team player with an entrepreneurial mindset and value of diversity
- 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
- Eager to learn more about the insurance industry
What the job involves
- Due to rapid growth, we are seeking to expand our Data Science team across our Underwriting functions and we are looking for Data Scientists 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
- 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
Application process
- Step 1: HR Interview with our Talent Recruiter
- Step 2: Technical online test on Github
- Step 3: Remote technical interview with a Data Scientist
- Step 4: In-person team interview to meet our Data Scientist team and discover our offices (could be held remotely if you are abroad)
Salary benchmarks
Our take
The corporate insurance market is undergoing a momentous shift driven by a changing climate, the growing impact of natural catastrophes, and a rise in emerging risks. Climate change has become a real risk to businesses - one nature report, for example, found that the US alone could lose over $500 billion across 22 sectors if rising global temperature predictions materialise. The need for effective corporate insurance has never been higher.
Descartes Underwriting is looking to revolutionise how we approach insurance. Taking on one of the insurance industry’s traditional methods - catastrophe (CAT) risk modelling - Descartes is leveraging new data sources and fusing them with a host of AI algorithms. This provides what it describes as a “product offering which covers the full spectrum of natural catastrophes and emerging risk exposures.” Its AI-driven parametric insurance model is highly disruptive, and has proven highly successful - just a few years after its founding, Descartes had already become the leading InsurTech player worldwide.
Following major funding, Descartes is looking to scale up its approach to corporate and public entity risk exposures, growing its technology platform, expanding into new lines of business and targeting larger deals. With an existing client base spanning hundreds of corporations including a host of Fortune 500 companies, Descartes looks set for big things in the coming years.
Freddie
Company Specialist at Welcome to the Jungle
Insights
56% employee growth in 12 months
Company
Funding (last 2 of 3 rounds)
Jan 2022
$120m
SERIES B
Sep 2020
$18.5m
SERIES A
Total funding: $140.8m
Company HQ
Plaine-Monceau, Paris, France
Leadership
Tanguy Touffut
(Co-Founder & CEO)Previously Global Head of Parametric Insurance at AXA Corporate Solutions, then CEO of AXA Global Parametrics.
Sebastien Piguet
(Co-Founder & Chief Underwriting Officer)Previously Head of On-Demand Insurance Products at AXA Global Parametrics.
Kevin Dedieu
(Co-Founder & Chief Scientific Officer)Previously a Senior Consultant at MPG Partners. Also a visiting lecturer at École Polytechnique.
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