Descartes Underwriting

4 Jobs

198 Employees

About the Company

Founded in 2019 to address the insurability of risks worsened by climate change, Descartes' mission is to help close the protection gap - the difference between insured and uninsured risk - and build resilience against emerging risks for businesses and governments.

Descartes is a global corporate insurer working exclusively with brokers to protect their corporate and public sector clients against climate, cyber and other emerging risks. At the forefront of AI and data analysis, Descartes utilizes cutting-edge technology combined with data from world-class research institutions to model, assess and manage risks.

Descartes boasts the largest team of scientists in the global insurance industry, comprising over 150 experts in meteorology, climatology, physics, data science, software engineering, DevOps, modelling, and underwriting. This diverse expertise enables us to develop transparent, tailored solutions to the challenges posed by emerging risks, and offer a range of innovative insurance products designed to meet clients' needs--often through cutting-edge parametric structures.

With a global footprint and a strong foothold in the U.S., Descartes serves a diverse client base across 60+ countries, operating from 17 offices in Europe, Asia, Oceania, and North America. Through corporate brokers, Descartes has already delivered over $10 billion in capacity to its clients.

The Descartes group includes Descartes Insurance, a full-stack insurer operating in several European markets, and Descartes Underwriting, a global MGA backed by a panel of tier-one risk carriers. The company has secured over $141M in funding from prominent investors, including Highland Europe, BlackFin, Serena, Cathay and Eurazeo.

Listed Jobs

Company Name: Descartes Underwriting
Job Title: Underwriter Data Scientist - Industrial Risks - CDI
Job Description: Job title: Underwriter Data Scientist – Industrial Risks Role Summary: Data‑driven underwriting professional responsible for building, validating, and applying advanced quantitative models and pricing tools to assess industrial risk exposures for corporate and public sector clients within the EU. Works cross‑functionally with software, operations, legal, and commercial teams to deliver timely insurance proposals and maintain broker relationships. Expectations: - Deliver high‑quality risk models and pricing solutions that support profitable growth targets. - Maintain rigorous technical documentation, underwriting authority, and governance audit trails. - Communicate model logic and decisions clearly to brokers, internal stakeholders, and regulators. - Secure and grow brokerage networks across France and the EEA through regular engagement and market intelligence. Key Responsibilities: - Develop and enhance Descartes’ technological platform (models, pricing tools, analytics dashboards). - Conduct risk analysis, structuring, and underwrite industrial coverage proposals for public sector and corporate clients. - Draft insurance contracts and perform thorough due‑diligence of coverage terms. - Collaborate with brokers to capture client requirements, refine product features, and negotiate terms. - Participate in seminars, forums, and industry events to promote brand visibility and stay abreast of market trends. - Archive and audit technical documents to ensure compliance with underwriting policies and regulatory standards. Required Skills: - Strong background in statistics, probability, and applied mathematics. - Proficiency in Python (pandas, scikit‑learn, data manipulation). - Knowledge of machine‑learning techniques (classification, regression, time‑series). - Excellent written and verbal communication in French and English; German is a plus. - Ability to synthesize complex quantitative findings into actionable underwriting decisions. - Team‑oriented, entrepreneurial mindset, and a results‑driven approach to dynamic environments. Required Education & Certifications: - Graduate from an engineering or actuarial program with a focus on computer science, applied mathematics, or data science. - 2–5 years of experience in underwriting or a related role (internships/apprenticeships included).

Company Name: Descartes Underwriting
Job Title: Data Scientist - Intern
Job Description: **Job Title:** Data Scientist – Intern **Role Summary:** Support the underwriting team in developing and applying data‑driven models for parametric insurance products. Work on risk analysis, client proposals, and the enhancement of the company’s modelling and pricing platform while gaining exposure to climate‑related risk domains. **Expactations:** - Demonstrate strong analytical and statistical abilities. - Communicate effectively in English and collaborate across multidisciplinary teams. - Show initiative, attention to detail, and the ability to meet tight deadlines. **Key Responsibilities:** - Conduct risk structuring, analysis, and draft insurance proposals for public‑sector and corporate clients. - Produce technical documentation and assist in drafting insurance contracts. - Collaborate with business and product teams to capture client needs and improve offerings. - Contribute to the development and testing of predictive models and pricing tools on the company’s platform. - Make autonomous technical decisions, ensuring rigor and reproducibility. **Required Skills:** - Proficiency in Python (pandas, scikit‑learn) and data‑analysis libraries. - Strong foundation in statistics, probability, applied mathematics, and machine learning. - Keen interest in climate, weather, and natural‑peril modelling. - Excellent written and verbal English; additional language (e.g., French, Chinese, Spanish, German, Italian) is a plus. - Detail‑oriented, results‑driven, and able to work under pressure in a multicultural environment. **Required Education & Certifications:** - Currently enrolled in a university, engineering school, or similar institution pursuing a degree in Computer Science, Applied Mathematics, Data Science, Climate Science, Meteorology, or related field. - Prior internship or project experience in data science, insurance, or climate modelling is desirable.

Company Name: Descartes Underwriting
Job Title: Data Scientist Intern - London
Job Description: **Job Title** Data Scientist Intern – Underwriting **Role Summary** Support the underwriting data science team in developing, validating, and deploying parametric insurance models focused on weather and climate risks. Gain exposure to industry‑specific data, cross‑functional collaboration, and the end‑to‑end insurance cycle from risk analysis to product pricing. **Expectations** - Internship of 3‑6 months, concluding studies. - Deliver data‑driven model components, documentation, and insights. - Work autonomously while aligning with business, operations, legal, and product teams. - Demonstrate a proactive learning attitude and commitment to climate resilience objectives. **Key Responsibilities** - Build and validate statistical and machine‑learning models for parametric insurance products. - Perform risk analysis using satellite imagery, IoT sensor data, and historical event databases. - Contribute to pricing frameworks and underwriting guidelines; draft technical documentation and contract clauses. - Collaborate with business stakeholders to translate client needs into product refinements. - Assist in the development of internal platforms (models, pricing tools) to enhance competitive differentiation. - Produce clear reports, visualizations, and presentations for technical and non‑technical audiences. **Required Skills** - Strong foundation in statistics, probability, and applied mathematics. - Proficiency in Python (pandas, scikit‑learn; familiarity with other ML libraries). - Experience with supervised/unsupervised learning, regression, and time‑series forecasting. - Data wrangling, exploratory analysis, and model evaluation expertise. - Excellent written and verbal English communication; additional language proficiency is a plus. - Detail‑oriented, able to work independently, and collaborate effectively under tight deadlines. **Required Education & Certifications** - Current student or recent graduate in Computer Science, Data Science, Applied Mathematics, Climate/Meteorology, or a related discipline. - Coursework covering statistical modeling, machine learning, and data analytics. - Prior internship or substantial project experience in data science, insurance, or climate modeling is preferred.

London, United kingdom

Hybrid

Fresher

08-01-2026

Company Name: Descartes Underwriting
Job Title: R&D Data Scientist -Intern
Job Description: **Job Title**: R&D Data Scientist Intern **Role Summary** Internship in the Research & Development team focused on building and improving machine‑learning models for climate‑related insurance risks. The role involves research, data analysis, and collaboration with underwriting, operations, and legal stakeholders to integrate new models into the product pipeline. **Expectations** - Complete a research‑oriented master’s program or equivalent in applied mathematics, physics, climate science, meteorology, or related fields. - Demonstrate experience or strong interest in data science, statistical modeling, and climate risk analytics. - Work autonomously on technical tasks, make data‑driven decisions, and meet project deadlines within a fast‑paced, multicultural environment. **Key Responsibilities** - Develop and refine predictive models for weather and climate risks using state‑of‑the‑art machine‑learning techniques. - Conduct literature reviews and implement novel methods for climate risk modeling. - Test and validate models, ensuring statistical rigor and operational readiness. - Collaborate with underwriting, business, software, and operations teams to align model outputs with product requirements. - Document processes, results, and insights for internal stakeholders and external partners. - Contribute to continuous improvement of data pipelines, model maintenance, and knowledge sharing within the R&D group. **Required Skills** - Strong foundation in statistics, probabilities, applied mathematics, and machine‑learning concepts. - Proficiency in Python (pandas, scikit‑learn, NumPy, SciPy); experience with version control (Git). - Ability to analyze complex datasets, conduct experiments, and communicate findings clearly. - Fluency in English (written and spoken). - Attention to detail, quality orientation, and a collaborative mindset. **Required Education & Certifications** - Current student status or recent graduate with a Master’s or equivalent research‑focused degree in Applied Mathematics, Physics, Climate Science, Meteorology, or related discipline. - No mandatory industry certifications required; prior internship experience in data science or climate modeling is advantageous.