R&D Data Scientist Intern, Descartes Underwriting
End of Studies
Parametric insurance for climate, cyber & emerging risks
Job no longer available
Parametric insurance for climate, cyber & emerging risks
201-500 employees
Job no longer available
201-500 employees
Company mission
To help companies and communities build resilience in a world at risk.
Role
Who you are
- Research-oriented master’s degree in applied mathematics, physics or meteorological studies
- Ideally a previous professional experience (internship and/or project) in Data science
- Keen interest in climate related topics
- Highly skilled in statistics, applied mathematics and machine learning methods
- Fluency in English (written and verbal communication) is required
- Proficiency in Python
- Interested in weather and natural perils modelling (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
What the job involves
- Due to rapid growth, we are seeking to expand our R&D team and we are looking for a R&D Data Scientist Intern (end of studies)
- At the core of our company’s strategy, your missions will focus on making direct contributions to the development of new climate models :
- Improving and/or developing new models to improve our understanding of climate risks; Conducting research on the modelling of climate risks and machine learning methods
- Identifying new and innovative ideas and testing state-of-the-art methods from scratch based on recent research articles
- Collaborating with the underwriting and business teams to ensure our products are efficiently integrated into the underwriting process and meet our client’s needs
- Working autonomously and pragmatically to make appropriate technical decisions
- Your missions will evolve in the future as Descartes is growing fast and many exciting projects are waiting for you. It's a unique opportunity to take a closer look inside a fast-growing scale up with huge ambitions
Application process
- Step 1: HR Interview with our Talent Recruiter
- Step 2: Technical online test
- Step 3: Remote technical interview
- Step 4: In person team interview to meet our team and discover our offices (held remotely if you are abroad)
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: $140.9m
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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