Actuarial Data Scientist
7 days ago
Hiring Actuarial Data Scientist/Analyst for two of our clients in Gurgaon location
Key Responsibilities:
- Develop and implement statistical models and algorithms to analyze complex data sets.
- Conduct data analysis and visualization to provide actionable insights.
- Utilize Python and R for data manipulation, modeling, and visualization tasks.
- Apply Generalized Linear Models (GLMs) in various projects, particularly in the context of property and casualty insurance.
- Collaborate with actuarial teams to integrate data science methodologies into existing processes.
- Communicate findings effectively to both technical and non-technical stakeholders.
- Stay updated on industry trends and advancements in data science and actuarial practices.
General Requirements:
- Knowledge of mathematics, probability, statistics and Commercial Insurance business.
- Knowledge of Underwriting process and Insurance pricing methodologies (Conventional and Innovative approaches).
- Proficiency in data science techniques, including modeling, data analysis, and visualization.
- Strong experience with programming languages such as Python and R.
- Familiarity with Generalized Linear Models (GLM) and their application in insurance.
- Background in actuarial science or property and casualty insurance is preferred.
- Willingness to learn and develop data science skills is highly valued, particularly for candidates with a strong actuarial foundation.
- Previous experience with insurance GLM modeling tools (e.g., Emblem) is a plus, even if programming experience is limited.
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