Data Science Senior Advisor-HIH-Evernorth

• Operate as a senior individual contributor, owning complex data science initiatives end‑to‑end—from problem framing and exploratory analysis through model development, validation, and production support.
• Apply strong foundations in statistics and classical machine learning (e.g., regression, classification, tree‑based models, ensembles, time‑series) to solve real‑world business problems.
• Design, develop, and evaluate predictive and analytical models using rigorous statistical and ML techniques.

• Perform feature engineering, model selection, tuning, and performance evaluation, clearly articulating assumptions and tradeoffs.
• Build and apply advanced machine learning and deep learning models where appropriate, using modern frameworks such as PyTorch and/or TensorFlow.
• Write clean, efficient, and production‑quality code, following strong software engineering and data science best practices.
• Partner closely with data engineering and platform teams to ensure models are scalable, reliable, and production‑ready.
• Translate ambiguous business problems into well‑structured analytical approaches and actionable insights.
• Communicate complex analytical results clearly to both technical and non‑technical stakeholders, focusing on business impact.
• Provide technical guidance and informal mentorship to junior data scientists, helping raise the overall quality of data science practice.
• Contribute to strengthening Evernorth India’s data science maturity, credibility, and impact as a strategic analytics partner.

• Bachelor’s or master’s degree (PhD preferred) in Statistics, Mathematics, Computer Science, Data Science, or a related quantitative field from a top tier institute

• 13+ years of experience in product management, AI/digital product development, analytics, or data‑driven platform roles.
• Demonstrated experience working on AI‑enabled or advanced analytics products, with a strong understanding of where AI adds real business value and how it is operationalized.
• Strong hands‑on experience with AI experimentation and iterative product development, including hypothesis‑driven experimentation, rapid prototyping, A/B testing, pilots/POCs, and data‑backed decision making.
• Proven ability to design and run experiments to validate AI use cases, assess model and feature effectiveness, measure impact, and inform scale‑up or pivot decisions.
• Proven ability to operate as a senior advisor or product thought leader, influencing without formal authority across product, engineering, and architecture stakeholders.
• Experience collaborating deeply with engineering and platform teams, participating in architecture discussions, design trade‑offs, and build‑vs‑buy decisions.
• Strong background working across the full product lifecycle—from problem discovery and value definition through technical design, delivery, adoption, and measurement.
• Experience partnering closely with US‑based product and technology leaders in a global, matrixed environment.
• Experience in healthcare, insurance, pharmacy, or other regulated industries is strongly preferred.

•  Strong foundation in probability, statistics, and classical machine learning algorithms.
• Advanced proficiency in Python and SQL.
• Hands‑on experience with ML libraries such as scikit‑learn, and deep learning frameworks such as PyTorch and/or TensorFlow.

• Solid understanding of the end‑to‑end data science and ML lifecycle, including development, validation, deployment, and monitoring.
• Familiarity with cloud or distributed computing environments and production ML concepts.
• Strong analytical thinking and problem‑solving skills.
• Ability to balance rigor with pragmatism—choosing the right level of model sophistication for the problem.
• Clear, concise communication skills with the ability to influence without formal authority.
• Comfort operating in ambiguity and owning outcomes across complex problem spaces.

• 2.30PM IST to 11.30PM IST

About Evernorth Health Services