# R&D Data Scientist - Intern at Descartes Underwriting

Descartes Underwriting is hiring an R&D Data Scientist - Intern in Paris, France. Level rates it Builds AI ●●●●; you can [apply on Level](https://jobsbylevel.com/go/6f729368-9f0a-4c12-b03c-df832b8b3c8a?utm_medium=ai-agent).

AI Level 4, AI centrality 89 out of 100. Paris, France.

## Details

- Company: [Descartes Underwriting](https://jobsbylevel.com/companies/descartes-underwriting)
- AI level: AI Level 4 (score 89 out of 100)
- Location: Paris, France
- Posted: October 14, 2026
- Apply: https://jobsbylevel.com/go/6f729368-9f0a-4c12-b03c-df832b8b3c8a?utm_medium=ai-agent

## Prepare for this job

The job page lists 3 likely interview questions for this offer, with a CV checklist: https://jobsbylevel.com/jobs/r-d-data-scientist-intern-at-descartes-underwriting-04b80b

## Description

ABOUT DESCARTES UNDERWRITING Join Descartes and contribute to our mission: Building Resilience in a World at Risk. Descartes is a corporate insurance group for worldwide companies and institutions. Descartes was born from a conviction that the growing complexity of corporate and climate risks demands a new approach to insurance. At the forefront of AI and Data analysis, Descartes utilises cutting-edge technology combined with a new generation of data sources, to model, assess and manage risks. Since 2019, Descartes has secured a leading position in parametric (re)insurance combining scientific & technological expertise with a new approach. Parametric insurance , also known as index-based insurance, indemnifies clients within days based on pre-defined payout structures when a specific triggering event occurs, the payout process is both fast and transparent. The company has been financed with over $141M by investors including Highland Europe, BlackFin, Serena, Cathay, Eurazeo and Battery Ventures. Our highly diverse and specialized team of 250+ people includes the largest modelling team in the industry featuring tech and modeling innovators, scientists in physics and climatology, as well as insurance veterans and underwriters. With a global footprint and strong US presence, Descartes serves a diverse portfolio of clients in more than 60 countries, with 20+ offices spread across Europe, Asia-Pacific, Latin and North America. Find out more on https://descartesunderwriting.com/careers . ABOUT YOUR ROLE We are looking for a R&D Data Scientist Intern to join our Research & Development team for a 6-month end-of-studies internship . In this role, you will bridge the gap between academic research and real-world industrial application. Operating with a long-term horizon, you will deep dive into state-of-the-art research, cutting-edge climate science and machine learning algorithms to build innovative models that directly shape how we assess and price risks. This is a unique opportunity to discover the insurance industry and emerging risks (natural catastrophes, cyber), while working hand-in-hand with our Software, Product, and Underwriting teams. At the core of our company’s R&D engine, your missions will focus on : From Applied Research to Value Creation : Translate open-research problems into valuable business assets by exploring recent scientific literature, implementing, benchmarking, and improving state-of-the-art machine learning methods and physical/statistical climate models. Data Exploration & Prototyping from scratch : Leverage large-scale climate datasets to develop and evaluate new innovative models quantifying natural perils (wildfires, hail, floods, tropical cyclones, etc). Model Integration : Collaborate with Underwriting and Software teams to transition successful experimental models into production-ready pricing tools. Methodological Optimization : Refine existing algorithms to improve accuracy, speed, and reliability in assessing complex climate risks. 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 Student from universities or engineering schools with a research-oriented track in applied mathematics, physics, climate & meteorological or machine learning; Ideally a previous professional experience (internship) in data science, physics or climate modelling. SKILLS Proficiency in Python (e.g. pandas, scikit-learn); Highly skilled in statistics, probabilities, applied mathematics and machine learning methods; Eye for quality and attention to detail; Fluency in English (written and verbal communication) is required ; Good command of one additional language (e.g. Chinese, French, Italian, German, Spanish…) is valued. MINDSET Strong interest in climate change resilience and natural perils modelling (wildfires, hail,

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