Description

You will develop NLP and time series forecasting models to extract insights and support reserving and pricing in the insurance domain.

This role is hybrid.

Responsibilities

• Build and maintain time series and forecasting models for reserving and pricing.
• Develop NLP models to extract insights from insurance data.
• Perform data preprocessing, feature engineering, and model tuning.
• Validate model performance and improve prediction accuracy.
• Collaborate with engineering teams to deploy and monitor models.

Required Skills

• 4.5-10 years of experience in Data Science and Machine Learning.
• Strong proficiency in Python and R.
• Hands-on experience with NLP techniques.
• Proven experience in time series forecasting.
• Experience developing predictive models for insurance use cases.

Preferred Skills

• Knowledge of AI/ML techniques.

Education: Any Graduation.

Key Skills

Education

Any Graduate