Lead Data Scientist ML Deployment

Position: Lead Data Scientist for ML Deployment
Drive innovation in insurance analytics as a Senior Data Scientist specializing in machine learning. Utilize your skills to build impactful models and optimize data-driven decision-making.

This role focuses on the application of ML and AI algorithms, design of data pipelines, and deployment into production for real-world impact. Your technical expertise in model architecture and feature engineering will be key in supporting continuous process improvement across claims functions and business solutions.

Key Responsibilities:

• Develop and optimize machine learning models

• Set up automated data pipelines for seamless integration

• Oversee deployment and maintenance of ML models

• Engage in feature transformation for enhanced algorithms

• Communicate findings effectively to technical and non-technical teams

Requirements:

• Master’s degree in a technical field;
PhD preferred

• 3–5 years in ML and AI development roles

• Python proficiency with machine learning frameworks

• Familiarity with cloud solutions and data visualization

• Strong grasp of software engineering principles

Utilize your data science expertise to develop and implement innovative solutions that significantly enhance business operations in the insurance industry.
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