Climate Risk Data Scientist Intern

Descartes Underwriting Group; Paris; Hybrid; EUR 12,000 - 17,000; Full time

Benefits offered by this job

Internship stipend

Meal vouchers (Swile)

60% public transport reimbursement

Job summary

Descartes Underwriting Group is seeking a Data Science Intern to join the Underwriting team for a 6-month end-of-studies internship in Paris. The role blends applied mathematics with climate risk, focusing on pricing tailor-made parametric coverage for global clients within tight timelines.

You will work daily with internal technical and commercial teams and brokers, building models in Python and translating results into client-ready propositions.

Qualifications

• Student from universities or engineering schools with a specialization in applied mathematics, actuarial science, climate & meteorological studies, computer science or 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 and applied mathematics models in Python to evaluate natural perils and pricing metrics.
• Structuring & Pricing: Analyze large datasets to structure, price, and customize parametric insurance proposals.
• Client-facing Activities: Translate modeling results into clear business propositions and gather feedback to tailor coverage.
• Cross-Functional Collaboration: Connect internal engine to external market with brokers and collaborate with Software, Commercial, and Legal teams.

Skills

Fluency in English

Team player

Attention to detail

Multicultural collaboration

Education

Applied mathematics / actuarial science / climate & meteorology / computer science / data science (student)

Previous internship in data science, insurance or climate modelling (preferred)

Tools

Python (pandas, numpy, scikit-learn)

Statistical analysis tools

Job description

Descartes Underwriting Group is seeking a Data Science Intern to join the Underwriting team for a 6-month end-of-studies internship in Paris. The role blends applied mathematics with climate risk, focusing on pricing tailor-made parametric coverage for global clients within tight timelines.

You will work daily with internal technical and commercial teams and brokers, building models in Python and translating results into client-ready propositions.