Description

You will develop and deploy machine learning models at scale within an industrial healthcare environment.

Responsibilities

• Develop machine learning, deep learning, and reinforcement learning algorithms.
• Manage the MLOps process and AI governance using cloud platforms.
• Build and maintain scalable models using SQL, Python, and advanced Excel.
• Apply data science techniques to healthcare-specific datasets and products.

Required Skills

• Proficiency in SQL and Python.
• Experience developing ML algorithms and models at very large scale.
• Working knowledge of MLOps processes and AI governance.
• Experience with Microsoft Azure, specifically Databricks, Synapse, and Data Factory.
• Master's degree with over 6 years of relevant data science experience, or a Bachelor's degree with over 8 years of relevant experience.
• Strong understanding of Machine Learning, Deep Learning, and Reinforcement Learning.
• Advanced proficiency in Excel.

Preferred Skills

• Experience with healthcare data, clinical tools, or health outcome indices.
• Experience in mentoring and guiding other data scientists.
• Knowledge of healthcare benefit pricing or actuarial calculations.

Key Skills

Education

Any Graduate