ABOUT DESCARTES UNDERWRITING

Descartes was born out of the conviction that climate change calls for a revolutionary approach in insurance to better protect corporations, governments, and vulnerable communities. We offer a new generation of parametric insurance that builds resilience against the full spectrum of climate and emerging risks. Utilizing Machine Learning and real-time monitoring from satellite imagery & IoT, our state-of-the-art climate tech provides innovative coverage for all trade sectors in all regions of the world. After a successful Series B raise of $120M USD, Descartes Underwriting is proud to be recognized among the French Tech Next40 and launched Descartes Insurance, a ‘full stack’ insurer licensed to underwrite risk by the French Regulator (ACPR). With a growing corporate client base (350+ and counting) - our diverse team is headquartered in Paris and operates out of our 13 global offices in North America, Europe, Australia, Singapore, Hong Kong and Japan.

ABOUT YOUR ROLE

Due to rapid growth we are seeking to recruit a Data Science Intern (end of study) to further expand our Data Science team, for a period of 6 months, either across our Underwriting or our R&D functions. 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;
• Collaborate with the business team to fully understand our B2B client needs and further strengthen our technical excellence;
• Participate in our R&D sessions.

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;
• Proficient 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 top data scientists 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.);
• Benefit from a competitive compensation;
• Work in a collaborative & professional environment;
• Be part of an international team, passionate about diversity. 

HOW TO APPLY?

You may check off several but not necessarily all the expected boxes ? Motivation and feeling are key elements for us!

If you want to develop your skills and work in a friendly startup atmosphere, don’t hesitate and send us your application!

https://www.descartesunderwriting.com/careers/

At Descartes Underwriting, 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: Call and HR Interview with our Talent Recruiter
• Step 2: Technical online test
• Step 3: In-person interview with a Data Scientist
• Step 4: Final round interview with an Underwriting/R&D Manager and our Data Scientist team