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Cigna

Precision UW & Pricing Data Science Advisor - Hybrid

Posted 22 Days Ago
Be an Early Applicant
7 Locations
105K-176K
Mid level
7 Locations
105K-176K
Mid level
The Data Science Advisor develops statistical and machine learning models to enhance underwriting and pricing strategies, collaborating with cross-functional teams to drive profitable growth.
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Role Summary

As a member of the Precision Pricing / UW group, the Data Science Advisor is responsible for enabling Data Science within The Cigna Group with demonstrable aptitude in Data Science (i) Technical Skills (ii) Leadership (iii) Scope & Impact (iv) Influence.
This role will report directly to Data Science Director of the US Employer Precision Underwriting/Pricing Program, a critical segment priority. The Data Science Advisor will play an important role in advancing the integration of new technologies, including AI and Machine Learning, throughout the Underwriting Quoting Process. The role will collaborate closely with Actuarial, Underwriting, and Data & Analytics teams to drive profitable growth and enhance our underwriting and pricing strategies.

Key Responsibilities:

  • Develop advanced statistical and machine learning models to support underwriting and pricing initiatives

  • Design experiments using innovative modeling techniques and data sources to assess effectiveness at predicting claims costs and other drivers

  • Deepen understanding of client and/or customer-level variability through use of statistical and ML modeling techniques

  • Assess existing data infrastructure and influence strategic decision-making around future data investments

  • Provide recommendations to leadership based on data analysis and business insights.

  • Build and maintain strong relationships with various stakeholders (data science COE, pricing, underwriting, etc.)

Qualifications:

Data Science Technical Skills:

  • Strong proficiency in ML, statistics, python or R, SQL, version control (e.g., Git), health care data (e.g., claims, EHR)

  • Knows and follows best coding and software practices

  • Successfully completes technical project components with limited guidance

  • Familiarity with deploying machine learning and predictive models to production and cloud environments

  • Trained in various statistical methods, specifically Bayesian methods are preferred.

  • Pricing/UW business background and actuarial experience preferred.

Leadership in Data Science:

  • Understands how assigned work is related to purpose of the overall project

  • Independently identifies project roadblocks, and solutions

  • Seeks to understand the health insurance domain

Scope and Impact:

  • Documents the business considerations, methodology, process, code, and results associated with their work

  • Collaborates to deliver clear and well-developed presentations for both technical and business audiences

  • Consistently communicates decisions, considerations, and needs for support

  • Receives and responds to feedback in a professional and appropriate manner

Level of Influence:

  • Present technical topics and results to non-technical stakeholders

  • Communicate and gather domain knowledge from non-technical stakeholders


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.

For this position, we anticipate offering an annual salary of 105,300 - 175,500 USD / yearly, depending on relevant factors, including experience and geographic location.

This role is also anticipated to be eligible to participate in an annual bonus plan.

We want you to be healthy, balanced, and feel secure. That’s why you’ll enjoy a comprehensive range of benefits, with a focus on supporting your whole health. Starting on day one of your employment, you’ll be offered several health-related benefits including medical, vision, dental, and well-being and behavioral health programs. We also offer 401(k) with company match, company paid life insurance, tuition reimbursement, a minimum of 18 days of paid time off per year and paid holidays. For more details on our employee benefits programs, visit Life at Cigna Group.

About Cigna Healthcare

Cigna Healthcare, a division of The Cigna Group, is an advocate for better health through every stage of life. We guide our customers through the health care system, empowering them with the information and insight they need to make the best choices for improving their health and vitality. Join us in driving growth and improving lives.

Qualified applicants will be considered without regard to race, color, age, disability, sex, childbirth (including pregnancy) or related medical conditions including but not limited to lactation, sexual orientation, gender identity or expression, veteran or military status, religion, national origin, ancestry, marital or familial status, genetic information, status with regard to public assistance, citizenship status or any other characteristic protected by applicable equal employment opportunity laws.

If you require reasonable accommodation in completing the online application process, please email: [email protected] for support. Do not email [email protected] for an update on your application or to provide your resume as you will not receive a response.

The Cigna Group has a tobacco-free policy and reserves the right not to hire tobacco/nicotine users in states where that is legally permissible. Candidates in such states who use tobacco/nicotine will not be considered for employment unless they enter a qualifying smoking cessation program prior to the start of their employment. These states include: Alabama, Alaska, Arizona, Arkansas, Delaware, Florida, Georgia, Hawaii, Idaho, Iowa, Kansas, Maryland, Massachusetts, Michigan, Nebraska, Ohio, Pennsylvania, Texas, Utah, Vermont, and Washington State.

Qualified applicants with criminal histories will be considered for employment in a manner consistent with all federal, state and local ordinances.

Top Skills

AI
Git
Health Care Data
Machine Learning
Python
R
SQL

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