SCOR is looking to leverage advanced statistical, predictive, and machine learning models to increase the interpretability of models and support strategic innovation initiatives for the Americas markets to transform processes from a machine learning perspective.
Requirements
- Working with data science languages including Python to develop high-quality and practical solutions
- Applying data expertise to process large quantities of data through cloud computing technologies such as AWS and Microsoft Azure
- Leveraging proficiency with database query tools including SQL to manage and retrieve data
- Applying data mining techniques to uncover hidden patterns in data; utilizing deep knowledge of machine learning techniques to develop robust machine learning models; and utilizing date visualization tools such as Microsoft Excel, Tableau, and PowerBI to create dashboard
- Applying statistical techniques to derive meaningful insights and monitor key business performance metrics.
Responsibilities
- Support the development of advanced statistical, predictive, or machine learning models.
- Increase the interpretability of models through advanced understanding of artificial intelligence and machine learning.
- Explore cutting edge machine learning methods and tools.
- Make key contributions to the projects from the Americas market (US/Canada) as first priority but also be a core contributor on global projects, such as OCR, NLP, AutoML, visualization and templates.
- Collaborate with SCOR's thriving global data analytics community by being a key contributor on research projects.
- Spread data science knowledge internally and externally through seminars and publications.
- Support strategic innovation initiatives for the Americas markets to transform processes (e.g., underwriting) from a machine learning perspective.
Other
- Be a key distributor of knowledge within SCOR globally, increasing the interpretability of models through an advanced understanding of artificial intelligence and machine learning.
- Present results to stakeholders; clearly communicate complex topics.
- Adhere to all Information Security policies and best practices, including security awareness training and other information protection initiatives.
- Have a high degree of autonomy when developing models and determining the appropriateness of a given approach.
- Bachelor’s degree or foreign equivalent in Computer Science, Computer Engineering, or a related field and one (1) year of experience in the job offered or related occupation
