Yo283 | Senior R&D Data Scientist – Cyber & New Business

Detalles de la oferta

The Wise Seeker is the leading HR technology company in unbiased talent evaluation. With over 15 years in the industry analyzing the needs and demands of the job market, we are capable of identifying the best talent for each company thanks to our team of professionals and our SaaS platform integrated with Artificial Intelligence. We are efficient, evaluate talent objectively without bias, and close hiring times in record time, delivering optimal results.
ABOUT YOUR ROLEDescartes Underwriting is seeking a Senior RD Data Scientist to join our RD Team. At the core of our company's strategy, your missions will focus on making direct contributions to the development of new climate models.
You will report directly to the RD Manager in charge of cyber and new business lines. Your responsibilities would include:
Individual contribution in RD projects.Conduct research on the modeling of traditional risks (property damage, …) and emerging risks (cyber…) and machine learning methods.Identify new and innovative ideas and testing state-of-the-art methods based on recent research articles.Collaborate with the underwriting and business teams to ensure our products are efficiently integrated into the underwriting process and meet our clients' needs.Propose models developments or features that are technically and economically aligned with the company's strategy.Take part and help in new products/existing models, translating and combining multiple research ideas and solutions into a new product or module.Technical LeadershipLead the improvement and/or development of new models to enhance and strengthen our understanding of climate risks.Be a referent for junior RD Data Scientists and provide them guidance on technical modeling matters.Give relevant technical advice to Underwriting for their daily underwriting activities and Innovation teams during the product development phase.Suggest improvements in software or infrastructure challenges.ABOUT YOUEXPERIENCE QUALIFICATIONSScientific academic background.From 5 to 10 years of experience in RD and data science.Strong skills in Statistics, Applied mathematics, and Machine Learning methods.Proven track record of significant individual contributor roles for solving complex problems and of contribution and leading the design and development of parts of a model.Ideally a previous experience in actuarial or modelling role in an insurance or reinsurance company.Proficiency in Python.SKILLSFluency in French and English (written and verbal communication) is required.Good command of one additional language (e.g. Chinese, Italian, German, Spanish…) is valued.
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Salario Nominal: A convenir

Fuente: Jobleads

Requisitos

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