Data Scientist

vor 1 Woche

Zurich, Schweiz CelsiusPro AG Vollzeit

**CelsiusPro AG** is an InsurTech company based in Zurich, Switzerland, specialized in industrializing index insurance solutions to mitigate the effects of adverse weather, climate change, and natural catastrophes. We aim to increase resilience against NatCat and adverse weather events, combine risk management with data science, simplify, digitalize and automate the risk management process.

**The Technology Team** develops risk management solutions, modelling and analytics tools and web-based platforms for corporations, insurers, brokers, governmental agencies, industry bodies, cooperatives and agribusiness companies. We are looking to recruit an additional Modeller to expand our capabilities at deploying our products to our client platforms.

**You** will be working on further developing our analytics tools and methodologies to support our business and consulting teams.

**You will be responsible for the following tasks**:

- Support our business and sales teams with fast and bespoke analytics and visualizations for index-based insurance products and schemes.
- Deploy R&D’s analyses and datasets through various channels (e.g., APIs, Shiny User Interfaces).
- Natural catastrophe stochastic event set generation using the open-source natural catastrophe models CLIMADA (tropical cyclone) and GEM (earthquake).
- Research, analytics, and statistical modelling for consulting mandates for instance for our Disaster Risk Finance team.
- Make the R&D code base more robust and scalable.
- Support your colleagues in the R&D team through code and architectural review.
- Work with key stakeholders across the company to ensure successful product releases.

**You have**:

- Extensive experience with R and Python, including package development.
- R shiny, (REST) API development, CI/CD, Object-Oriented Programming.
- Experience with Databases (MongoDB, bigQuery ), Clusters (Spark, docker, kubernetes, docker swarm...) and geospatial data and indexing (geojson, s2,).
- Experience working with large and complex datasets.
- Strong mathematical foundation with particular focus in modeling, statistics, probability, and/or computational science.
- Team player who thrives in multidisciplinary environments and likes to share knowledge.
- A self-driven personality with the ability to execute a project from start to finish.
- The ability to efficiently get familiar with new code bases.
- Relevant experience in natural catastrophe modelling is a plus.
- MSc or PhD in science or engineering.

You like clean code and good documentation, have experience in developing code as a team, and are not afraid of working with Terabytes of data. Maybe you have experience with agile or scrum. You have excellent interpersonal skills, a sense of responsibility and proactivity and effective verbal and written communication in English; German is a plus.

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