Publiée le 16/04/2024
- Contrat
- Volontariat International en Entreprise (V.I.E) - Temps Plein
- Localisation
- Singapour, Singapour
- Niveau d'études
- Bac+5 (Master / Ingénieur)
- Missions
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Key duties and responsibilities
Approach- Support the business activities in APAC region.
- Develop advanced statistical, predictive, or machine learning models using deep knowledge of the algorithms and hyperparameters, and systematically applying coding best practices.
- Have a high degree of autonomy when developing models and determining the appropriateness of a given approach.
- Being and hands-on and active doers in the delivery of projects
- Help drive innovation in insurance areas through close collaboration with different parties including the client, underwriters, and actuaries.
- Contribute to key topics of priority to the team and deliver on-time to agreed quality standards
- Be a key contributor to regional market projects as first priority, but also a core contributor on global projects including OCR, NLP, visualization, templates, etc.
- Support strategic innovation initiatives for the Americas markets to transform process (e.g. underwriting) from a machine learning perspective.
- Proactively identify relevant R&D for business needs
- Be able to conduct research spikes to solve technical challenge
- Collaborate with SCOR’s thriving global data analytics community by being a key contributor on research projects and communication
- Increase the interpretability of models through advanced understanding of artificial intelligence and machine learning
- Present results to stakeholders; clearly communicate complex topics by applying appropriate interpretation techniques and visualizes these for the benefit of internal/external clients
- As a member of the Data Science chapter, the Core Data Scientist will be an ambassador of the existing chapter and contribute to it (participating to training, maintain a certain level of knowledge by getting training as well on advance topics and developing skills) : Be a key distributor of knowledge within SCOR globally
- Spread data science knowledge externally through seminars and publications
- Adhere to all Information Security policies and best practices, including security awareness training and other information protection initiatives
- Be fully compliant with GDPR and other local data protection legislation
- Be aware of regulatory and reputational risk when developing consumer-facing AI tools and suggest ways of mitigating these