Data Scientist - Intern

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

Résumé du poste

A parametric insurance firm in Paris is seeking a Data Scientist Intern. The role involves conducting risk analysis, collaborating with various teams, and leveraging machine learning to improve insurance products focused on climate risks. The ideal candidate is a student specializing in computer science or applied mathematics with a strong interest in climate-related topics and proficiency in Python. Attractive remuneration and benefits offered.

Prestations

Attractive remuneration

Meal vouchers

60% transport reimbursement

Qualifications

• Student from academic institutions specialized in relevant fields.
• Previous internship experience in data science or climate modelling is ideal.

Responsabilités

• Conduct risk analysis and insurance proposals.
• Discuss business opportunities and technical documentation.
• Collaborate with business teams to improve product offering.
• Participate in tech platform development.
• Make technical decisions with attention to detail.

Connaissances

Interest in climate topics

Statistics and probabilities

Applied mathematics

Machine learning methods

Fluency in English

Proficiency in Python

Additional language skills

Formation

Student in computer science, applied mathematics, or data science

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. 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 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 Data Science team and we are looking for Data Scientist Interns (end of studies).

The Underwriting team takes action subsequently in modeling, structuring and pricing of parametric insurance covers to deliver insurance products to a worldwide based public sector and corporate clients in a few days to a 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 will focus on :

• 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;
• Collaborating with the business team to understand client needs and issues to further improve our product offering;
• Participating in the development of Descartes’ technological platform to differentiate Descartes from its competitors (models and pricing tools);
• Working autonomously and pragmatically to make appropriate technical decisions with attention to details.

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 academic institutions, universities or engineering schools with a specialization in computer science, applied mathematics, climate, meteorological studies or data science for business;
• Ideally a previous experience (internship) in data science, insurance 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 details;
• 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).