INTRODUCTION TO EVERNORTH:
Evernorth Health Services India, established in Hyderabad in 2024, is an innovation hub for Evernorth Health Services, the pharmacy, care and benefits division of The Cigna Group. The innovation hub will support innovation-focused areas, such as generative AI, product development, process improvement, analytics, and software engineering across The Cigna Group and its businesses. Evernorth Health Services India builds on The Cigna Group’s existing presence in India.
About Evernorth Health Services:
Evernorth Health Services (Evernorth) is the pharmacy, care and benefits solution division of The Cigna Group - a Fortune 16 global health company with 75,000 employees, 186 million customers in more than 30 countries and jurisdictions around the world. Evernorth exists to make the prediction, prevention, and treatment of illness and disease more accessible to millions of people. We do this by creating and connecting premier health services offerings, such as benefits management, pharmacy, care solutions, insights and intelligence.
About Cigna:
The Cigna Group is a global health company committed to improving the health and vitality of individuals and communities around the world and includes products and services marketed under its Cigna Healthcare and Evernorth Health Services subsidiaries. Cigna Healthcare is the health benefits provider of The Cigna Group, serving customers and clients through its U.S. Employer, U.S. Government, and International Health business. Evernorth Health Services is the pharmacy, care and benefits solution division of The Cigna Group.
Position Summary
You will be part of a team focused on transforming healthcare and improving the lives of millions of members through innovative AI/ML solutions. The role involves developing and supporting machine learning models and data-driven solutions for use cases such as document processing, analytics, and intelligent automation.
As a Machine Learning Analyst, you will work closely with senior engineers, product teams, and business stakeholders to build, test, and deploy scalable AI solutions. This role requires strong analytical thinking, foundational machine learning skills, and a passion for solving real-world healthcare problems.
Job Description & Responsibilities
Develop and implement machine learning models under guidance to solve business problems in healthcare.
Work on data preprocessing, feature engineering, and model evaluation as part of AI/ML pipelines.
Assist in building and integrating ML solutions with APIs and applications.
Collaborate with cross-functional teams (engineering, product, data teams) to understand requirements and deliver solutions.
Support development of AI solutions that adhere to privacy, security, and responsible AI principles.
Work with structured and unstructured data, including text data for NLP use cases.
Assist in optimizing model performance and improving accuracy through iterative testing.
Create basic dashboards, reports, or visualizations to present insights.
Participate in code reviews, testing, and debugging to ensure quality delivery.
Document solutions, workflows, and model behavior for reuse and knowledge sharing.
Experience Required
0-1 years of experience in Machine Learning / Data Science / AI domain.
Develop and support agentic AI workflows using frameworks such as LangChain, LangGraph, or similar orchestration tools.
Basic understanding of machine learning concepts such as classification, regression, clustering, and NLP.
Exposure to model development lifecycle (data preparation, training, evaluation).
Experience working in a team environment on shared deliverables or projects.
Experience Desired
Exposure to Generative AI / LLM concepts and prompt engineering.
Knowledge of vector databases or basic information retrieval concepts.
Experience working with data formats like CSV, JSON, or documents (PDF, Word).
Education and Training Required
Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or related field.
Primary Skills
Strong foundation in machine learning and data analysis.
Good understanding of data structures and programming fundamentals.
Knowledge of Python-based ML tools and frameworks.
Familiarity with cloud-based environments.
Additional Skills
Strong analytical and problem-solving skills.
Good communication skills to work with both technical and non-technical stakeholders.
Ability to work collaboratively in a fast-paced team environment.
Willingness to learn and adapt to emerging AI/ML technologies.
Location & Hours of Work:
Hyderabad and Hybrid (2:30 PM IST to 11:30 PM IST)
Equal Opportunity Statement
Evernorth is an Equal Opportunity Employer actively encouraging and supporting organization-wide involvement of staff in diversity, equity, and inclusion efforts to educate, inform and advance both internal practices and external work with diverse client populations.
About Evernorth Health Services
Evernorth Health Services, a division of The Cigna Group, creates pharmacy, care and benefit solutions to improve health and increase vitality. We relentlessly innovate to make the prediction, prevention and treatment of illness and disease more accessible to millions of people. Join us in driving growth and improving lives.
Skills Required
- 0-1 years of experience in machine learning, data science, or artificial intelligence
- Experience developing and supporting agentic AI workflows using LangChain, LangGraph, or similar orchestration tools
- Basic understanding of classification, regression, clustering, and natural language processing
- Exposure to the machine learning model development lifecycle, including data preparation, training, and evaluation
- Experience working in a team environment on shared deliverables or projects
- Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, or a related field
- Strong foundation in machine learning and data analysis
- Good understanding of data structures and programming fundamentals
- Knowledge of Python-based machine learning tools and frameworks
- Familiarity with cloud-based environments
- Strong analytical and problem-solving skills
- Good communication and collaboration skills
- Exposure to generative AI, LLM concepts, and prompt engineering
- Knowledge of vector databases or information retrieval concepts
- Experience with CSV, JSON, PDF, or Word document data formats
Cigna Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Cigna and has not been reviewed or approved by Cigna.
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Strong & Reliable Incentives — Strong bonus outcomes are frequently highlighted, with annual bonuses described as really good alongside above-average salary levels. Stock or long-term incentive elements are also noted as part of the overall package in some roles.
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Leave & Time Off Breadth — Time-off benefits are portrayed as a meaningful part of total rewards, including generous PTO and flexibility that can enhance the perceived value of compensation. Flexible work-from-home arrangements are repeatedly linked with satisfaction about the overall package.
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Healthcare Strength — Health coverage is described as broad in design, with preventive care often covered at no charge in-network and options like virtual care and wellness incentives. A large provider network and strong digital tools are positioned as practical advantages when using benefits.
Cigna Insights
What We Do
At Cigna, we're more than a health insurance company. We are your partner in total health and wellness. And we’re here for you 24/7 – caring for your body and mind. As a global health service company, Cigna's mission is to improve the health, well-being, and peace of mind of those we serve by making health care simple, affordable, and predictable. Our values are the core of our culture. Our values guide how all 74,000 of us around the world work together, serve our customers, patients, clients, communities, and deliver on our mission.
