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Strong Tier-1 pharma brand, Hyderabad metro, mid-level generalist analytics role, and sought-after AI skills increase competition.
Analytics and ML skills are transferable, though pharma-specific data and compliance raise industry fit sensitivity.
Explicit 3+ years requirement plus preferred ML, LLM, and pharma data experience make filters moderately strict.
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Develop, prototype, and deliver analytical models, datasets, and automation workflows to support US Commercial decision-making.
Manage end-to-end delivery of analytics and AI workstreams within an agile sprint framework, including coordination of testing, validation, and release readiness.
Collaborate with stakeholders across Commercial, Global Analytics, Marketing, and BI&T to align analytical solutions with business needs and maintain data governance and quality standards.
Bachelor's degree required; advanced degree preferred in life sciences, computer science, mathematics, statistics, data science, or engineering.
At least 3 years of professional experience in advanced analytics, decision science, or AI-related roles with proven end-to-end project delivery.
Experience or familiarity with pharmaceutical, biotech, or healthcare data and commercial applications preferred.
Not explicitly mentioned in the JD: Notice period, location restrictions, or onsite requirements explicitly specified.
Experienced in hands-on coding and building predictive/statistical models using Python or R, with knowledge of AI/ML techniques including NLP and causal inference methods.
Comfortable operating in agile, sprint-based environments and managing multiple analytics projects with strong quality assurance and documentation practices.
Able to partner effectively with complex, matrixed stakeholder groups including Commercial, Analytics, Marketing, and technical teams in regulated healthcare settings.