Data Science Leader
3 weeks ago
We are seeking a highly skilled Data Science Leader to join our team at SCOR. As a leader in the field of reinsurance, we offer a unique opportunity for professionals with expertise in advanced analytics and data science to contribute to the development of innovative solutions that drive business growth and mitigate risk.
**About Us:**
As a leading global reinsurer, SCOR provides its clients with a diversified range of reinsurance and insurance solutions to control and manage risk. With a strong commitment to innovation and excellence, we strive to deliver exceptional value to our clients through our industry-recognized expertise and cutting-edge financial solutions.
**Responsibilities:**
The successful candidate will be responsible for developing and implementing advanced analytical models and techniques to support business decisions and improve operational efficiency. This will involve working closely with cross-functional teams to identify opportunities for process improvement and providing expert guidance on data-driven decision-making strategies. Additionally, the individual will be expected to stay up-to-date with emerging trends and technologies in the field of data science and to develop and maintain relationships with key stakeholders within the organization.
**Required Skills and Qualifications:**
To be considered for this role, candidates must possess a Master's degree in a quantitative field such as mathematics, statistics, or computer science. A Ph.D. is preferred but not required. The ideal candidate will have a minimum of 3-5 years' experience in data science with a strong background in machine learning, predictive modeling, and statistical analysis. Strong programming skills in languages such as Python or R are essential, as well as experience with cloud computing platforms such as AWS or Microsoft Azure. The ability to communicate complex technical concepts to both technical and non-technical audiences is also critical.
**Estimated Salary:** $120,000 - $180,000 per annum depending on experience.
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