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Tier-1 brand, Mumbai metro, junior generalist ML role with broad skills — high applicant competition.
Pharma domain knowledge preferred but core ML, forecasting, and analytics skills remain transferable across industries.
Master's/PhD plus specific ML, Bayesian, and tooling requirements create strict shortlisting filters.
Lead execution and interpretation of AI/ML models for Pfizer’s Commercial organization to support brand or therapeutic area decision-making.
Design and deploy predictive models including forecasting, segmentation, classification, regression, and Bayesian methods to drive commercial strategy.
Collaborate cross-functionally to communicate data-driven insights and develop interactive dashboards and visualization tools for senior stakeholders.
Master’s or Ph.D. in Data Science, Statistics, Computer Science, or related quantitative field.
Work Experience Required: 0–2 years in data science or advanced analytics, preferably in commercial pharma or healthcare.
Strong technical proficiency in Python (including pandas, scikit-learn, PyMC), SQL, and experience with ML algorithms and Bayesian modeling.
Experience with pharma/healthcare datasets and commercial analytics concepts; familiarity with Tableau or Power BI for visualization.
Experience or strong familiarity with pharmaceutical commercial data and analytics, including forecasting, promotional analytics, and marketing mix modeling.
Ability to handle large-scale healthcare datasets and develop models that impact business decisions in a fast-paced, collaborative environment.
Comfortable communicating complex analytics clearly to non-technical commercial and marketing stakeholders and supporting business transformation initiatives.