Senior Advisor Data Science, Pricing & Underwriting

Cigna

Confirmed live 2 days ago High trust
Remote

Quick summary

Work type
Remote
Location
Connecticut
Salary
$131,200–$218,600 / yr
Posted
29 days ago
Freshness
Confirmed live 2 days ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $180k
This role $175k
$121k most similar roles pay here $231k

This role pays more than 51% of similar roles. Most pay $146,012–$213,437 — the shaded band above. At the midpoint, this role pays about $175k versus about $180k for comparable roles.

Based on 239 similar postings.

Employer

About Cigna

The Cigna Group is a global health company, rebranded in 2023, that serves over 185 million customer relationships across 30+ countries.

Cigna currently has 40 open roles on FindRole.

Listed pay typically runs $138,601–$204,700 across 22 roles with salary data.

Most-posted roles

View all roles at Cigna

At a glance

TL;DR · Senior Advisor Data Science, Pricing & Underwriting

As a Data Science Senior Advisor (Pricing & Underwriting), you will join a team focused on developing advanced analytics to improve commercial healthcare underwriting and pricing strategies. You will perform feature engineering, model development, and monitoring using medical, prescription drug, utilization management, and third-party data. Your daily work involves building models such as GLMs, Machine Learning, Clustering, and LLMs to provide actionable insights for business leaders while collaborating with engineering partners to deliver well-documented solutions. The role requires expertise in Python, SQL, Git, Keras, and TensorFlow, alongside a deep understanding of healthcare data like claims and EHR records. You will manage projects from end-to-end, including scoping and pilot testing, to solve complex pricing problems and modernize underwriting organizations through sophisticated statistical modeling and advanced analytics techniques within the healthcare domain.

What you'll do

  • Build models using statistics, machine learning, and AI to identify pricing and underwriting opportunities.
  • Perform feature engineering, model development, and monitoring using medical, prescription drug, and third-party data.
  • Create actionable insights and recommendations from advanced analytics to meet strategic business objectives.
  • Design, launch, and measure robust pilot programs to test new solutions with business leaders.
  • Develop models using GLMs, Machine Learning, Clustering, or LLMs to solve specific underwriting problems.
  • Write clean, well-documented code and perform peer reviews to ensure high-quality production standards.
  • Manage projects end-to-end from initial scoping and ideation through development and production deployment.

What we're looking for

  • 5+ years of direct Data Science experience in a healthcare related environment.
  • Strong background in statistics, machine learning, and model development.
  • Experience deploying ML/predictive models to production or cloud environments.
  • Proficiency with Python, SQL, Git, Keras, and TensorFlow.
  • Knowledge of common healthcare data such as claims, EHR, and laboratory data.
  • Ability to write clean, documented code and perform peer reviews.
  • Ability to own projects end-to-end, including scoping, development, and production.
  • MS or PhD in STEM related fields (preferred).

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