Data Science Engineer
il y a 3 semaines
Descartes Underwriting is a leading provider of parametric insurance solutions for weather and climate-related risks. Our team of industry experts and scientists work together to develop innovative underwriting models that help our clients mitigate climate risks.
Job SummaryWe are seeking a highly skilled Data Science Engineer to join our team. As a Data Science Engineer, you will be responsible for designing, developing, and maintaining data pipelines to support our climate risk assessment models. You will work closely with our data scientists and software engineers to ensure the accuracy and reliability of our models.
Key Responsibilities- Design and develop data pipelines to collect, process, and store climate-related data
- Develop and maintain data storage and processing tools, including data visualization and notification systems
- Collaborate with data scientists and software engineers to develop and deploy climate risk assessment models
- Automate data flows between technical and business teams to monitor climate events
- Strong experience with data engineering tools, including Docker, Kubernetes, and cloud providers (GCP, AWS, or Azure)
- Experience with Python and data science libraries (e.g., Pandas, NumPy, scikit-learn)
- Good knowledge of English and fluency in French
- Desire to train junior developers and explain CI/CD and cloud tools
We are looking for a motivated and detail-oriented individual who is passionate about climate issues and data science. You should have a strong interest in working with data and developing innovative solutions to complex problems.
Why Join Descartes Underwriting?At Descartes Underwriting, we offer a competitive salary, bonus, and benefits package. We also provide opportunities for professional growth and development, as well as a collaborative and inclusive work environment.
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