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# Senior Advisor, Data Science - Medical Cost Trend & Forecasting - Remote

- **Company:** Cigna
- **Location:** Bloomfield, CT, United States (Remote available)
- **Experience:** Expert
- **Salary:** $131,200.0 - $218,600.0
- **Contract:** Permanent contract
- **Skills:** Business Analytics Applications, Big Data, Information Engineering, Monitoring of Systems, Internet Service Provider, Python (Programming Language), Machine Learning, SQL Databases, Apache Spark, Data Analytics, Databricks
- **Published:** July 10, 2026
- **Apply:** https://dejobs.org/x/x/337AD05944A74A3D9E53610DAE347160/job/

## About the Role

* 5+ years of experience in data science, analytics, or a related field
 * Strong proficiency in Python, SQL, machine learning, and statistical modeling
 * Hands-on experience with forecasting techniques such as time series analysis, simulation, or scenario modeling
 * Experience working with large datasets using platforms such as Databricks or Spark
 * Ability to communicate complex analytical concepts to technical and business audiences
 * Experience partnering cross-functionally to deliver data-driven solutions

Preferred Qualifications

 * Experience in healthcare payer analytics, including medical cost trend, reserving, or pricing
 * Experience with anomaly detection or advanced statistical techniques
 * Knowledge of model lifecycle management and best practices for reproducible research
 * Demonstrated ability to mentor and guide junior team members

If you will be working at home occasionally or permanently, the internet connection must be obtained through a cable broadband or fiber optic internet service provider with speeds of at least 10Mbps download/5Mbps upload.

## Description

Join our Data Science Center of Expertise and help shape the future of healthcare forecasting. In this role, you will drive innovative approaches to medical cost trend forecasting and reserving, improving accuracy and enabling smarter financial decisions. You will work with cross-functional partners to bring advanced analytics to life and strengthen the predictability and stability of our business., * Lead the design and delivery of advanced medical cost forecasting solutions that improve claim reserving and enterprise financial forecasting

 * Prototype and validate new analytical approaches using techniques such as time series modeling, simulation, and machine learning
 * Create diagnostics and performance measures to evaluate forecast accuracy and explain key cost drivers
 * Partner with finance, actuarial, and business teams to translate forecasting needs into actionable analytics solutions
 * Communicate findings through clear insights, presentations, and technical documentation to support decision-making
 * Develop early-warning analytics to identify emerging cost trends and risks
 * Collaborate with data engineering and product teams to ensure scalable and interpretable solutions
 * Contribute to model monitoring, governance, and continuous improvement processes
 * Mentor junior team members and share best practices across the data science community


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