Data Scientist - CDI

Our team brings together industry veterans from the most renowned institutions (AXA, SCOR, Swiss Re, Marsh, Aon, ) 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. Due to rapid growth, at the core of our company’s strategy, we are seeking to expand our Data science team, either across our Underwriting or our R&D functions. On the other hand, the Underwriting team takes action subsequently in structuring and pricing of parametric insurance covers to deliver insurance products to a worldwide based public sector and corporate clients. These roles will allow you to gain knowledge of the insurance industry and the emerging risks (natural catastrophes, cyber…), all while collaborating closely with other internal teams (Software, Operations, Legal and Commercial) and our external partners. Conducting structuring work, risk analysis and insurance proposal for worldwide public sector and corporate clients; Discussing business opportunities with Descartes’ partners and being responsible for technical documentation and insurance contracts redaction; Testing state-of-the-art methods from scratch based on recent research articles; Collaborating with the Underwriting, Business and Software teams to ensure our products are efficiently integrated into the underwriting process and meet our client’s needs; As an Underwriting Data Scientist: Graduated from an Engineering school with a specialization in computer science, applied mathematics, climate or meteorological studies; Ideally a previous experience (long-term internship) in data science, insurance or climate modeling; Proficient in Python (e.g. pandas, scikit-learn); Fluency in English (written and verbal communication) is required; Chinese, French, Italian, German, Spanish…) As a R&D Data Scientist: Graduated from a research-oriented Master’s Degree or PhD in physics, applied mathematics, climate or meteorological studies; Ideally a previous experience (long-term internship) in climate modeling or data science; Proficient in Python (e.g. pandas, scikit-learn); Fluency in English (written and verbal communication) is required. Commitment from Descartes to its staff of continued learning and development (think annual seminars, training etc.) ; Be part of an international team, passionate about diversity ; A competitive salary, bonus and benefits; You can benefit from a punctual home office days. Technical online test (via Github) Step 3: Remote technical interview Step 4: Remote manager interview (occurred before the technical test possibly) Step 5: In person team interview to meet our team and discover our offices (held remotely if you are abroad)

Location: Paris, FR

Posted Date: 1/15/2025