Evernorth Health Services

Healthcare

DataScienceSeniorAdvisor-HIH-Evernorth

₹22–35L ~AI est. Hyderabad, India FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Data Science Senior Advisor-HIH-Evernorth at Evernorth Health Services. Skills: Data Science, Machine Learning, AI, Model Development. Own complex data science initiatives. Frame problems”

What You'll Achieve.

Deliver high-impact solutions; Deliver analytical solutions; Deliver ML solutions

Industry & Context.

Healthcare
Problems you'll solve

Analytical judgment; Problem framing; Analytical approaches; Actionable insights

What They're Looking For.

Must Have

Bachelor's or master's degree, 13+ years of experience, SQL proficiency, Python proficiency

Nice to Have

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

What You'll Do.

Own complex data science initiatives

Perform exploratory analysis

Support production models

Apply machine learning

Solve business problems

Design predictive models

Design analytical models

Evaluate predictive 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

Build scalable models

Build reliable models

Build production-ready models

Translate business problems

Structure analytical approaches

Generate actionable insights

Communicate analytical results

Provide technical guidance

Mentor junior data scientists

Raise data science quality

Contribute to data science maturity

Strengthen data science credibility

Strengthen data science impact

How You'll Work.

Team & Collaboration

Partner with analytics leaders; Partner with data science leaders; Partner with engineering leaders; Partner with business leaders; Partner with data engineering teams; Partner with platform teams; Collaborate with stakeholders

Communication Scope

Communicate complex results; Technical communication; Non-technical communication

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, reliabl

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