Data Scientist Intern

Who you are

• If you feel like you don’t have all the necessary prerequisites but it’s what you'd like to grow into in your next position, we encourage you to apply!
• 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
• SKILLS
• Proficiency in Python (e.g. pandas, numpy, scikit-learn)
• Highly skilled in statistics, probabilities, applied mathematics
• Eye for quality and attention to detail
• Fluency in English (written and verbal communication) is required
• Good command of one additional language (e.g. Chinese, French, Italian, German, Spanish...) is valued
• Strong interest in climate change resilience and natural perils modelling (wildfires, hail, tsunamis, earthquakes, etc)
• Excellent team player able to thrive in a fast-paced, multi-cultural scale-up environment
• Pragmatic approach to technical problem-solving with high attention and eagerness to commercial issues while respecting deadlines

What the job involves

• We are looking for a Data Science Intern to join our Underwriting team for a 6-month end-of-studies internship
• Bridging applied mathematics and the business of climate risk, this hybrid role puts you at the heart of our business activities
• You will contribute directly to pricing tailor-made parametric coverage for demanding global clients — all within short execution timelines. It is a highly collaborative position where you will master natural catastrophe risks by working daily with both our internal technical and commercial teams and our external network of brokers while nurturing relationships with our various clients
• At the core of our company’s business activity, your missions will focus on :
• Data & Risk Modeling: Build and refine statistical and applied mathematics models in Python to evaluate natural perils (wildfires, floods, cyclones, earthquakes, etc.), shaping them into actionable pricing metrics
• Structuring & Pricing: Analyze large datasets to structure, price, and customize parametric insurance proposals that directly address the financial and operational risks of international corporate and public sector clients
• Client-facing Activities: Translate complex modeling results into clear business propositions and gather feedback to fine-tune the insurance coverage to their specific needs
• Cross-Functional Collaboration: Connect Descartes’ internal engine to the external market (clients and brokers). You will partner closely with Software, Commercial, and Legal teams to transform client requirements into robust and scalable insurance solutions and product documentation
• 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 !

The application process

• Step 1: HR Interview with our Talent Recruiter
• Step 2: Technical take-home 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)