Description

You will build and deploy machine learning solutions to drive risk modeling, pricing, and claims analysis.

Responsibilities

• Leverage data to generate insights for risk modeling and portfolio optimization.
• Develop and implement machine learning models for classification, regression, and time series forecasting.
• Design and manage ETL processes for data wrangling and feature engineering.
• Communicate complex analytical findings to non-technical stakeholders.

Required Skills

• 5+ years of professional experience in a relevant field.
• Expert proficiency in Python, Pandas, NumPy, and Scikit-learn.
• Strong SQL skills for data querying and manipulation.
• Experience with Big Data technologies including Spark and Hadoop.
• Familiarity with cloud platforms, specifically AWS, for deployment and pipelines.
• Proficiency in data visualization tools like Power BI and Tableau.
• Experience with CI/CD pipelines.
• Knowledge of statistical modeling and machine learning principles.

Preferred Skills

• Experience with Natural Language Processing (NLP).
• Familiarity with insurance/reinsurance domain knowledge.

Key Skills

Education

Any Gradute