Evernorth Health Services

Health Services

DataScienceAdvisor-HIH-Evernorth

₹23–35L ~AI est. Hyderabad, India FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Data Science Advisor-HIH-Evernorth at Evernorth Health Services. Skills: Data Science, Machine Learning, AI, Statistics. Operate as senior individual contributor. Own complex data science initiatives”

What You'll Achieve.

Deliver high-impact analytical solutions; Deliver high-impact ML solutions; Solve complex business problems; Raise overall quality of data science practice; Strengthen data science maturity; Strengthen data science credibility; Strengthen data science impact

Industry & Context.

Health Services
Problems you'll solve

Problem-solving skills; Analytical thinking; Translate ambiguous business problems; Structure analytical approaches

Eligibility Requirements

Work 2:30 PM IST to 11:30 PM IST

What They're Looking For.

Must Have

Bachelor's or master's degree, 11+ years of experience, Advanced proficiency in Python, Advanced proficiency in SQL

Nice to Have

PhD preferred, Experience in healthcare, Experience in insurance, Experience in pharmacy, Experience in regulated industries

What You'll Do.

Operate as senior individual contributor

Own complex data science initiatives

Perform exploratory analysis

Support production models

Apply classical machine learning

Solve business problems

Design predictive models

Develop predictive models

Evaluate predictive models

Design analytical models

Develop analytical models

Evaluate analytical models

Perform feature engineering

Perform model selection

Evaluate model performance

Articulate assumptions

Build deep learning models

Apply deep learning models

Write production-quality code

Follow software engineering best practices

Follow data science best practices

Partner with data engineering teams

Partner with platform teams

Ensure models are scalable

Ensure models are reliable

Ensure models are production-ready

Translate business problems

Structure analytical approaches

Generate actionable insights

Communicate complex analytical results

Focus on business impact

Provide technical guidance

Provide informal mentorship

Raise data science quality

Contribute to data science maturity

Contribute to data science credibility

Contribute to data science impact

How You'll Work.

Team & Collaboration

Partner closely with US-based leaders; Partner with data engineering; Partner with platform teams; Collaborate with engineering teams; Participate in architecture discussions; Participate in design trade-offs; Participate in build-vs-buy decisions; Partner with US-based product leaders; Partner with US-based technology leaders

Communication Scope

Communicate complex results; Clear communication skills; Concise communication skills

Full Job Description

The Senior Advisor – Data Science is a senior individual‑contributor role within the Data Science Center of Excellence at Evernorth Health Services India. This role is designed for a high‑caliber, hands‑on data scientist with strong foundations in statistics, classical machine learning, and modern AI techniques, combined with experience working across an advanced data science and ML stack. The role focuses on building, validating, and operationalizing data science solutions that solve complex business problems. It is not a governance or oversight role, but rather a role for an experienced practitioner who brings strong analytical judgment, technical depth, and the ability to influence solution design and execution across teams. This position partners closely with US‑based analytics, data science, engineering, and business leaders to deliver high‑impact analytical and ML solutions at scale. **Key Responsibilities** * 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

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