Description

You will develop and deploy machine learning models to solve core business problems in the reinsurance domain, driving insights into risk modelling, pricing, claims, and portfolio optimization.

This role is on-site.

Responsibilities

• Develop and deploy machine learning models to address core business challenges.
• 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 and Deep Learning Algorithms.
• Strong command of Statistics and Data Science principles.
• Experience with Data Visualization tools, including BI Reports.
• Familiarity with Natural Language Processing (NLP).
• Proficiency in building and testing data solutions.
• Knowledge of SQL for data extraction and manipulation.

Key Skills

Education

Any Graduate