Gradient AI is looking to solve the problem of predicting risk more accurately, improving profitability, and automating underwriting and claims in the Group Health and P&C insurance industry using AI-powered solutions.
Requirements
- Advanced proficiency in Python and its core data science ecosystem (e.g., Pandas, NumPy, Scikit-learn, LightGBM, etc.).
- Hands-on experience with deep learning frameworks such as PyTorch or TensorFlow, and an understanding of modern architectures (e.g., Transformers, Neural Networks, LLMs).
- Proficiency analyzing and building model utilizing health insurance claims data, electronic medical records, or similar patient health and prescription data.
- Fluency in SQL, Relational databases, and Databricks
- Fluency in AWS or similar Cloud computing environment
Responsibilities
- Design, develop, and implement predictive models for underwriting and patient care management, utilizing machine learning and deep learning techniques.
- Analyze large datasets to identify trends, patterns, and anomalies that can inform underwriting decisions and enhance patient care strategies.
- Work closely with cross-functional teams, including product management, data engineering, software engineering, actuarial consulting, clinical, and IT, to understand business needs and translate them into data-driven solutions.
- Stay current with industry trends, emerging technologies, and best practices in data science and health insurance. Propose innovative solutions to enhance underwriting processes and patient care management.
Other
- Bachelor's degree in Computer Science, Data Science, Biostatistics, Mathematics, or similar related field AND 8+ years of professional data science experience building health insurance underwriting or care management solutions
- OR Master’s or Ph.D in Computer Science, Data Science, Biostatistics, Mathematics, or similar related field AND 3+ years of professional data science experience building health insurance underwriting or care management solutions
- Strong technical communication and collaboration skills, particularly communicating with nontechnical stakeholders and working collaboratively with engineering/product teams to meet project goals and timelines
- Unlimited vacation days.
- Flexible schedule that supports working from home.
