Data Science Intern: Climate Risk & Parametric Pricing

Descartesunderwriting; Paris; Hybrid; EUR 11,000 - 16,000; Full time

Benefits offered by this job

Meal vouchers (Swile)

60% public transport reimbursement

Competitive internship stipend

Job summary

Descartes Underwriting is seeking a Data Science Intern to join the Underwriting team for a 6‑month internship in a hybrid Paris setting. You will bridge applied mathematics and climate risk, pricing tailor-made parametric coverage for global clients within tight timelines.

Work closely with internal and external teams, and develop models using Python tools while building stakeholder relationships and contributing to product documentation.

Qualifications

• Student from universities or engineering schools with a specialization in applied mathematics, actuarial science, climate & meteorological studies, computer science or/and data science for business.
• Ideally a previous professional experience (internship) in data science, insurance or climate modelling.

Responsibilities

• Data & Risk Modeling: Build and refine statistical models in Python to evaluate natural perils and price coverage.
• Structuring & Pricing: Analyze datasets to structure, price, and customize parametric insurance proposals.
• Client-facing Activities: Translate modeling results into business propositions for clients and brokers.
• Cross-Functional Collaboration: Work with Software, Commercial, and Legal teams to deliver solutions.

Skills

Python

Statistics

English fluency

Team collaboration

Education

Bachelor's in applied mathematics or data science

Tools

pandas

numpy

scikit-learn

Job description

Descartes Underwriting is seeking a Data Science Intern to join the Underwriting team for a 6‑month internship in a hybrid Paris setting. You will bridge applied mathematics and climate risk, pricing tailor-made parametric coverage for global clients within tight timelines.

Work closely with internal and external teams, and develop models using Python tools while building stakeholder relationships and contributing to product documentation.