Job opportunities in our portfolio companies


R&D Data Scientist - Intern

Descartes Underwriting

Descartes Underwriting

Data Science
Brea, CA, USA · Paris, France · Paris, France · Remote
Posted on Tuesday, December 12, 2023


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.


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 study). 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.



  • Final year master’s student in computer science, data science, applied mathematics, physics, statistics or meteorological studies;
  • Ideally a previous professional experience (internship or/and 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) required;
  • Proficient 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.


  • 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.


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!


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.


  • Step 1: Call and HR Interview with our Talent Recruiter
  • Step 2: Technical online test
  • Step 3: Technical Interview with a Data Scientist
  • Step 4: Final round interview with a R&D Manager and our Data Scientist team