Data Scientist - Intern

Role overview Join an underwriting team for a six-month, end-of-studies data science internship focused on natural catastrophe and climate risk. You will apply statistical and mathematical methods to help assess risks and price tailored parametric insurance coverage, working with technical and commercial colleagues and external brokers under short timelines.

Responsibilities - Build and refine statistical and applied mathematics models in Python to evaluate natural perils such as floods, wildfires, cyclones, and earthquakes. - Use data analysis to support risk assessment and pricing decisions for tailored coverage. - Collaborate with technical and commercial teams and communicate with brokers and clients. - Solve practical modeling problems carefully while keeping commercial needs and deadlines in view.

Requirements - Pursuing or completing studies in applied mathematics, actuarial science, climate or meteorological studies, computer science, or data science for business. - Proficiency in Python, including tools such as pandas, NumPy, or scikit-learn. - Strong grounding in statistics, probability, and applied mathematics. - Careful attention to quality and detail. - Fluency in written and spoken English, and a collaborative, pragmatic approach. - Strong interest in climate resilience and natural peril modeling.

Nice to have - Prior internship or professional experience in data science, insurance, or climate modeling. - Command of an additional language, such as French, Chinese, Italian, German, or Spanish.

Benefits and work setup The internship includes a stipend, meal vouchers, and reimbursement of 60% of public transport costs. The team emphasizes an inclusive workplace and equal opportunity.