Data Science Engineer

il y a 4 semaines


Paris, Île-de-France Descartes Underwriting Temps plein
About Descartes Underwriting

Descartes Underwriting is a leading provider of parametric insurance solutions for climate-related risks. Our team of industry experts and scientists work together to develop innovative underwriting models that help clients mitigate the impact of climate events.

Job Summary

We 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 modeling efforts. You will work closely with data scientists, software engineers, and DevOps engineers to ensure the smooth operation of our models and data storage systems.

Key Responsibilities
  • Design and develop data pipelines to collect, process, and store climate-related data
  • Collaborate with data scientists to develop and train machine learning models for climate risk assessment
  • Work with software engineers to integrate data pipelines with our underwriting models
  • Develop and maintain data storage systems to ensure efficient and secure data management
  • Automate data processing and analysis tasks using CI/CD pipelines
Requirements
  • Strong background in data engineering and machine learning
  • Experience with cloud-based data storage and processing systems (GCP, AWS, Azure)
  • Proficiency in programming languages such as Python, Java, or C++
  • Knowledge of containerization and orchestration tools (Docker, Kubernetes)
  • Excellent communication and collaboration skills
What We Offer
  • Competitive salary and benefits package
  • Opportunities for professional growth and development
  • Collaborative and dynamic work environment
  • Chance to work on cutting-edge climate-related projects


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