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 recruit a Data Science Intern (end of studies) to further expand our Underwriting Data Science team, for a period of 6 months. At the core of our company’s strategy, your missions will focus on making direct contributions to the development of new climate models or forecasting tools.

Your responsibilities would include:

• Improving or developing new models to improve our understanding of climate
• Participating in the development of Descartes’ technological platform
• Identifying, implementing and deploying new statistical and machine learning methods to differentiate Descartes from its competitors
• Collaborating with the business team to fully understand our B2B client needs and further strengthen our technical excellence
• Participating in our RD sessions.

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

• Final year Masters student in computer science, data science, applied mathematics, physics, statistics 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) 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)

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