Remote Senior Data Scientist - Healthcare Pricing & UW

cigna; United States; Remote; USD 131,000 - 219,000; Full time

Benefits offered by this job

401(k)

Health insurance

Tuition reimbursement

Paid time off

Job summary

The Cigna Group is seeking a skilled Data Scientist to build, deploy, and monitor pricing and underwriting models using healthcare data. You will engineer features, develop robust models, and communicate insights to leadership within a collaborative, data-driven environment.

You will work with leadership, data scientists, business stakeholders and engineering teams to deliver well-documented results that enhance competitiveness and long-term value.

Qualifications

• 5+ years direct Data Science experience in a healthcare related environment.
• Strong background in stats, ML and model development.
• Experience deploying ML/predictive models to prod/cloud env't.
• Strong skills with Python, SQL, Git, Keras and TensorFlow.
• Knowledge of health care data e.g., claims, EHR, laboratory data.

Responsibilities

• Contribute to the development of comprehensive analytics for pricing and underwriting.
• Execute special projects to improve Commercial Healthcare underwriting.
• Use data science to create actionable insights for business leaders.
• Communicate work with business stakeholders and senior leadership.
• Stay up to date on analytic tools and modernize pricing/UW processes.
• Develop models for underwriting and actuarial advancement using GLMs, ML, clustering, LLMs or other techniques.

Skills

Statistics

Machine learning

Model development

Data science

Python

SQL

Git

Keras

TensorFlow

Education

MS or PhD in STEM fields

Tools

Python

SQL

Git

Keras

TensorFlow

Job description

The Cigna Group is seeking a skilled Data Scientist to build, deploy, and monitor pricing and underwriting models using healthcare data. You will engineer features, develop robust models, and communicate insights to leadership within a collaborative, data-driven environment.

You will work with leadership, data scientists, business stakeholders and engineering teams to deliver well-documented results that enhance competitiveness and long-term value.