The Role
The Data Science Manager will lead a team, applying various machine learning techniques to solve business problems while partnering with stakeholders to define success metrics and drive data-backed decisions.
Summary Generated by Built In
The Manager – Data Science is a hands‑on, player‑coach role within the Data Science Center of Enablement at Evernorth Health Services India. This role is designed for an experienced data science leader who combines strong technical depth with the ability to manage and develop small, high‑performing teams while partnering closely with business stakeholders.The role requires a balance of:Hands‑on data science executionTechnical leadership and mentorshipBusiness problem framing and solution designThis individual will work closely with US‑based business, data science, analytics, and engineering leaders to translate complex business problems into practical, scalable data science solutions, while maintaining a strong connection to the underlying models and analytical work.Key Responsibilities Hands‑On Data Science & Technical Leadership
- Remain actively hands‑on in applying statistics, classical machine learning, and advanced ML techniques to solve complex business problems.
- Design, develop, and evaluate predictive and analytical models, including regression, classification, tree‑based models, ensembles, and time‑series approaches.
- Guide feature engineering, model selection, validation, and performance optimization.
- Build and apply advanced machine learning and deep learning models where appropriate, using modern frameworks such as PyTorch and/or TensorFlow.
- Review and contribute directly to code, ensuring high standards of quality, performance, and maintainability.
- Manage and mentor a small team of data scientists, operating as a player‑coach.
- Provide technical guidance, constructive feedback, and hands‑on support to team members.
- Help develop team capability across statistics, machine learning, coding, and problem‑solving.
- Foster a culture of strong data science fundamentals, curiosity, and continuous learning.
- Partner closely with business and analytics stakeholders to understand business context, ask the right questions, and frame problems appropriately.
- Translate ambiguous business challenges into clear analytical problem statements and solution approaches.
- Collaborate with stakeholders to define success metrics, interpret results, and drive data‑backed decisions.
- Communicate insights, recommendations, and trade‑offs clearly to both technical and non‑technical audiences.
- Own data science initiatives end‑to‑end—from discovery and exploratory analysis through development, deployment support, and post‑launch evaluation.
- Partner with data engineering and platform teams to ensure solutions are scalable and production‑ready.
- Balance rigor with pragmatism, selecting the right level of model sophistication to meet business needs.
- Contribute to strengthening Evernorth India’s data science practice, standards, and impact.
- Bachelor’s or master’s degree (PhD preferred) in Statistics, Mathematics, Computer Science, Data Science, Business or a related quantitative field from a top tier institute
- 10+ years of experience in data science, analytics, or applied machine learning roles. Candidates from consulting background are preferred
- Prior experience leading or managing small teams of data scientists.
- Strong track record of delivering hands‑on analytical and ML solutions with measurable business impact.
- Experience working with large, complex datasets; healthcare, insurance, or pharmacy experience is a strong plus.
- Experience partnering with US‑based stakeholders in a global, matrixed environment is preferred.
- Experience in consulting organizations for data science related engagements
- Strong foundation in probability, statistics, and classical machine learning algorithms.
- Advanced proficiency in Python and SQL.
- Hands‑on experience with ML libraries (e.g., scikit‑learn) and deep learning frameworks (PyTorch and/or TensorFlow).
- Solid understanding of the end‑to‑end data science and ML lifecycle.
- Ability to guide technical design decisions while remaining hands‑on.
- Strong business problem‑solving skills and analytical judgment.
- Clear, concise communicator capable of influencing stakeholders across business and technology.
- Comfort operating in ambiguity and owning outcomes across complex problem spaces.
- 2.30PM IST to 11.30PM IST
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
- 10+ years of experience in data science, analytics, or applied machine learning roles
- Prior experience leading or managing small teams of data scientists
- Advanced proficiency in Python and SQL
- Hands-on experience with ML libraries such as scikit-learn and frameworks like PyTorch or TensorFlow
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.
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The Company
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.
