Posted May 7, 2026
Key Responsibilities:
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. - Help develop team capability across statistics, machine learning, coding, and problem-solving. - Collaborate with stakeholders to define success metrics, interpret results, and drive data-backed decisions. - Communicate insights, recommendations, and tradeoffs clearly to both technical and non-technical audiences. - Own data science initiatives end-to-endfrom 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. - Contribute to strengthening Evernorth Indias data science practice, standards, and impact. Qualifications Required:
Bachelors or masters degree (PhD preferred) in Statistics, Mathematics, Computer Science, Data Science, Business, or a related quantitative field from a top-tier institute. - 12+ years of experience in data science, analytics, or applied machine learning roles. 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. Role Overview: As the Manager Data Science at Evernorth Health Services India, you will play a hands-on, player-coach role within the Data Science Center of Enablement. Your role is designed for an experienced data science leader who can effectively manage and develop small, high-performing teams while collaborating closely with business stakeholders. You will work closely with US-based business, data science, analytics, and engineering leaders to translate complex business problems into practical, scalable data science solutions. Key Responsibilities:
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. - Help develop team capability across statistics, machine learning, coding, and problem-solving. - Collaborate with stakeholders to define success metrics, interpret results, and drive data-backed decisions. - Communicate insights, recommendations, and tradeoffs clearly to both technical and non-technical audiences. - Own data science initiatives end-to-endfrom 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. - Contribute to strengthening Evernorth Indias data science practice, standards, and impact. Qualifications Required:
Bachelors or masters degree (PhD preferred) in Statistics, Mathematics, Computer Science, Data Science, Busi
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