Data Science Advisor - Hybrid

The job profile for this position is Data Science Advisor, which is a Band 4 Senior Contributor Career Track Role.

Excited to grow your career?

We value our talented employees, and whenever possible strive to help one of our associates grow professionally before recruiting new talent to our open positions. If you think the open position you see is right for you, we encourage you to apply!

Our people make all the difference in our success.

Join Us as a Data Science Advisor! Step into a role where your expertise in artificial intelligence and machine learning will help shape the future of healthcare. At Evernorth Health Services, you’ll be part of a passionate team dedicated to making medicine safer, more affordable, and smarter for everyone. We’re looking for ambitious and compassionate experts who thrive on solving complex challenges and driving meaningful change.

• Lead the development and deployment of advanced AI/ML solutions that improve member experience and business outcomes.
• Collaborate with internal stakeholders to identify opportunities for innovation, cost reduction, and revenue growth.
• Apply model lifecycle best practices to ensure consistency, reproducibility, and strong model governance.
• Build and maintain strong partnerships with technical and business teams, including Data Engineering, Product Owners, and ML Enablement.
• Drive advanced analytics in areas such as Natural Language Processing, Generative AI, and predictive modeling.
• Communicate data insights creatively and clearly to both technical and non-technical audiences.
• Act as a subject matter expert, mentoring team members and contributing to a culture of continuous learning and improvement.

• Bachelor’s degree in Data Science, Applied/Health/Quant Economics, Statistics, Applied Mathematics, Computer Science, Operations Research, or related quantitative discipline.
• Minimum 3 years of relevant experience (or 1+ years for PhD holders).
• Proficiency in machine learning, statistics, and data science fundamentals.
• Experience with time-series modeling/forecasting and scalable forecast hierarchies.
• Strong coding skills in Python, R, SQL, and experience with cloud and on-prem computing platforms.
• Excellent communication and collaboration skills.

• Master’s or PhD in a related field.
• Prior experience with healthcare data (e.g., claims, EHR, disease indicators).
• Experience with ML lifecycle management, documentation, and logging.
• Familiarity with tools such as Tableau, ggplot, seaborn, plotly, bokeh, altair, holoviews.
• Experience working in cross-functional teams and mentoring others.

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 10

Mbps download/5

Mbps upload.

For this position, we anticipate offering an annual salary of 105, 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.

At The Cigna Group, 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), 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, .

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.

Please note that you must meet our posting guidelines to be eligible for consideration. Policy can be reviewed at this

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