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Pfizer brand, popular Data Science role, and Mumbai metro location increase qualified applicant density.
Pharma-specific datasets and commercial analytics create strong industry bias.
Explicit 0–2 years and mandatory Python/SQL/Bayesian skills narrow candidate funnel.
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Lead execution and interpretation of AI/ML models supporting commercial decision-making for pharma brands or therapeutic areas.
Develop, deploy, and maintain predictive models including forecasting, segmentation, classification, and regression to drive sales, demand, and market performance.
Collaborate with cross-functional commercial teams to translate complex data insights into actionable business recommendations and maintain interactive dashboards for senior stakeholders.
Master’s or Ph.D. in Data Science, Statistics, Computer Science, or related quantitative field.
0-2 years of experience in Data Science or Advanced Analytics, preferably in Commercial Pharma or Healthcare.
Strong technical skills including Python (pandas, scikit-learn, statsmodels, PyMC), SQL, and experience with ML algorithms: regression, classification, clustering, time-series forecasting.
Experience with pharma/healthcare datasets and commercial analytics concepts; proficiency in Tableau or Power BI for visualization.
Demonstrated ability to apply Bayesian modeling and probabilistic programming in practical commercial analytics contexts.
Experience working in fast-paced, collaborative environments requiring integration of AI/ML solutions with commercial strategy.
Familiarity with agentic AI frameworks and marketing mix modeling is advantageous, indicating readiness to innovate in pharma commercial analytics.