Description

You will build and deploy machine learning models and data solutions to support insurance operations.

Responsibilities

• Develop and implement machine learning models and data solutions.
• Collaborate with data scientists and software engineers to deploy models.
• Manage and process data within Azure cloud environments.
• Utilize Databricks for data processing and model deployment.
• Build and maintain data pipelines and integration solutions.
• Apply Generalized Linear Models (GLM) to enhance predictive modeling and pricing.

Required Skills

• 5+ years of experience in machine learning or data engineering.
• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• Proficiency in Python, Java, or C++.
• Extensive experience with SQL and data manipulation.
• Hands-on experience with Azure services and Azure Data Factory.
• Proficiency in Databricks for data engineering and model deployment.
• Solid understanding of machine learning concepts and model deployment.
• Knowledge of database implementation in cloud environments.

Preferred Skills

• Experience with Generalized Linear Models (GLM).
• Background in the Property & Casualty (P&C) insurance industry.
• Experience with large-scale data processing and integration.

Key Skills

Education

Bachelor's or Master's degrees