R&D Data Scientist - Intern (end of studies)

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 RD team and we are looking for a RD 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 !

About You

EXPERIENCE QUALIFICATIONS

Research-oriented master’s degree in applied mathematics, physics or meteorological studies
Ideally a previous professional experience (internship and/or project) in Data Science.

Skills

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.

MINDSET

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.

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
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
Attractive remuneration according to the profile, meal voucher, 60% transport reimbursement
You can benefit from a punctual home office days.

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.

RECRUITMENT 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)

R&D Data Scientist - Intern (end of studies)

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