Analyst- Data Science
Novartis (company site, opens in a new tab)2+ yrsAndhra PradeshOn-siteDirect career pageEst. 10–18 LPA
Posted 16h ago
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Job description
Structured overview of role & requirements
About This Role
- Build predictive, classification, machine-learning and statistical models for commercial pharmaceutical analytics.
- Analyze large, multi-source datasets—including claims, sales and promotion data—to produce actionable business insights across targeting, segmentation, marketing, resource allocation and optimization.
- Translate stakeholder needs into analytical solutions and support reliable delivery through automation, documentation, quality checks and timely project updates; contribute to exploration of Generative AI and LLMs.
Minimum Requirements
- Work Experience Required: Minimum 2 years in data science; pharmaceutical, healthcare, life sciences or analytics experience is preferred.
- Education: Any full-time graduate degree.
- Hands-on programming experience in Python, R or PySpark, with strong understanding of statistics, predictive analytics, machine learning and deep-learning algorithms.
- Experience analyzing large, complex datasets from multiple sources.
Ideal Candidate Profile
- Has pharmaceutical, healthcare or life-sciences analytics exposure, particularly with claims, sales, promotions, targeting, segmentation or commercial marketing data.
- Can turn commercial business questions into practical models and insights, and communicate findings to stakeholders across teams and time zones.
- Fits an individual-contributor role involving structured project delivery and process improvement; exposure to Generative AI/LLMs, automation or analytical documentation is an advantage.