Description

You will drive insights into risk modelling, pricing strategies, claims analysis, and portfolio optimization by leveraging data.

Responsibilities

• Develop and deploy machine learning models to solve core business problems in the reinsurance domain.
• Analyze complex datasets to provide actionable insights to actuarial and underwriting stakeholders.
• Build and maintain data pipelines for feature engineering and data preparation.
• Communicate complex analytical findings clearly to non-technical business leaders.

Required Skills

• 5+ years of experience in data science or a related analytical field.
• Expert proficiency in Python and Flask.
• Demonstrated experience with Machine Learning Algorithms and Deep Learning Algorithms.
• Strong command of Statistics-Data Science principles.
• Experience with Data Visualization tools (BI Reports / Data Visualization).
• Familiarity with Natural Language Processing - AIOPS.
• Proficiency in building and testing data solutions.
• Knowledge of SQL for data extraction and manipulation.

Key Skills

Education

Any Graduate