Data Science Engineer

il y a 3 semaines


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

Descartes Underwriting is a pioneering insurance company that leverages cutting-edge technology to address the complexities of climate-related risks. Our team of industry experts and scientists collaborate to deliver underwriting excellence, utilizing machine learning and real-time monitoring from satellite imagery and IoT.

With a strong presence in the market, we have secured a leading position in parametric insurance for weather and climate-related risks. Our commitment to innovation and excellence has earned us a reputation as a trusted partner for corporate clients and A-rated reinsurers.

About the Role

We are seeking a highly skilled Data Science Engineer to join our Data, Software, and DevOps team. As a key member of our team, you will be responsible for creating, improving, and maintaining data pipelines used to train our climate risk assessment models. Your expertise will be crucial in assessing the viability of proof-of-concept projects and collaborating with data scientists and software engineers to develop and deploy our models.

You will work closely with DevOps engineers to ensure the reliable deployment of models in production, selecting the optimal compute and storage instances for these tasks. Additionally, you will automate the flow of information between the tech and business teams to monitor climate events.

Key Responsibilities
  1. Setup, automate, maintain, and update connections to external and internal APIs, data preparation processes, model training and inference processes, data storage processes, associated CI/CD pipelines, package versioning and releasing pipelines, and notification tools.
  2. Setup data storage, data processing, and data visualizing tools by assessing team needs, benchmarking open-source and private solutions, evaluating security, price, and reliability, following technology developments, forecasting tool usage, and tracking costs.
  3. Participate in tech stack selection, discussions with tech partners, training of software and underwriting teams, support and debugging of internal users.
Requirements
  • Knowledge of the tech stack or equivalent tools.
  • Experience converting Python code to efficient data engineering tools (e.g., Spark).
  • Experience with Docker, cloud providers (GCP, AWS, or Azure), and automating CI/CD pipelines.
  • Good knowledge of English and fluency in French.
About You

We are looking for a candidate with a strong interest in climate issues, a willingness to work alongside corporate insurers, and a passion for CI/CD automation. You should have a strong team spirit, be able to work collaboratively, and possess a rigorous, creative, and meticulous mindset. A strong desire to learn and a willingness to work in a multi-cultural environment are essential.

Why Join Descartes Underwriting?

At Descartes Underwriting, you will have the opportunity to work and learn with teams from prestigious schools and research labs. We offer a commitment to continued learning and development, a collaborative professional environment, and a chance to be part of an international team passionate about diversity. Our company has a true purpose – helping our clients be more resilient towards climate risks. We offer a competitive salary, bonus, and benefits, as well as punctual home office days.

We cherish the value of diversity and are committed to fighting against all forms of discrimination and for equal opportunities. We foster an inclusive work environment that respects all differences. With equal skills, all our positions are open to people with disabilities.


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