R&D Data Scientist - Intern

Descartes Underwriting; Paris; Sur place; EUR 30 000 - 40 000; Plein temps

Résumé du poste

A leading insurance technology firm in Paris is seeking an R&D Data Scientist Intern to develop models for understanding climate risks. This role involves researching machine learning methods and collaborating with cross-functional teams. Ideal candidates are master's students interested in climate data and have strong statistical skills. The internship offers an opportunity to work in a fast-growing firm committed to combating climate change.

Prestations

Attractive remuneration

Meal voucher

60% transport reimbursement

Qualifications

• Student from a research-oriented master’s degree in applicable fields.
• Ideally previous experience in Data Science or climate modelling.

Responsabilités

• Improve and develop models for understanding climate risks.
• Conduct research on climate risks and machine learning methods.
• Identify innovative ideas and implement state-of-the-art methods.
• Collaborate with underwriting and business teams.
• Work autonomously and make technical decisions.

Connaissances

Interest in climate related topics

Statistics and probabilities

Applied mathematics

Machine learning methods

Fluency in English

Proficiency in Python

Knowledge of additional languages

Formation

Research-oriented master’s degree in applied mathematics, physics, climate or meteorological studies

Description du poste

About Descartes Underwriting

Descartes was born out of the conviction that the ever‑increasing complexity of risks faced by corporations, governments and vulnerable communities calls for a renewed approach in insurance. Our team brings together industry veterans from the most renowned institutions (AXA, SCOR, Swiss Re, Marsh, Aon, …) and scientists on top of their field to bring underwriting excellence. 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. With 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 18 global offices in North America, Europe, Australia, Singapore and Japan. Descartes is trusted by a panel of A‑rated (re)insurers to carry out its activities.

About Your Role

Due to rapid growth, we are seeking to expand our R&D team and we are looking for R&D Data Scientist Interns (end of studies). The R&D team aims at developing new and innovative models thanks to state‑of‑the‑art research to help the Underwriting team meet with efficiency and reliability towards the clients in a 6 months to 3 year timeframe. 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.

At the core of our company’s strategy, your missions focus on:

• 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.

Our missions will evolve 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 a research‑oriented master’s degree in applied mathematics, physics, climate or meteorological studies;
• Ideally a previous professional experience (internship) in Data Science or climate modelling.

Skills

• Keen interest in climate related topics;
• 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;
• Proficiency in Python (e.g. pandas, scikit‑learn);
• Good command of one additional language (e.g. Chinese, French, Italian, German, Spanish…) is valued.

Mindset

• Interested in weather and natural perils modelling (wildfires, hail, tsunamis, earthquakes etc);
• Excellent team player able to work under pressure and respect deadlines;
• 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.

Why Join Descartes Underwriting?

• Opportunity to work and learn with teams from the most prestigious schools and research labs in the world, allowing you to progress towards technical excellence;
• Work in a collaborative & professional environment;
• Be part of an international team, passionate about diversity;
• Join a company with a true purpose – help us help our clients be more resilient towards climate risks;
• Attractive remuneration according to the profile, meal voucher, 60% transport reimbursement.

At Descartes Underwriting, we cherish the value of diversity whatever it may be. 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: HR Interview with our Talent Recruiter
• Step 2: At home technical online test (Github repository)
• Step 3: Remote technical interview with a Data Scientist
• Step 4: In‑person team interview to meet our team and discover our offices (held remotely if you are abroad)