Forecasting Expert

2 days ago

Pune, Maharashtra, India beBeeDataScientist Full time ₹ 1,50,00,000 - ₹ 2,50,00,000
Expert Forecaster Role

Pharmaceutical forecasting is a critical component of commercial strategy, enabling companies to make informed decisions about product launches, pricing, and resource allocation. As a leading provider of forecasting solutions, we offer the opportunity to expand into new-age skill sets, including Python, prompt engineering, and designing agentic workflows.

In this role, you will focus on implementing Gen AI-powered forecasting use cases in day-to-day client work. You will apply AI tools to improve efficiency, accuracy, and insight generation in forecasting processes. Key responsibilities include:

  • Implementing Forecasting and Allied AI Solutions by combining pharmaceutical domain knowledge with applied AI and analytics-driven data science techniques to deliver actionable insights.
  • Executing pre-defined ML-based forecasting models, market sizing tools, and other AI solutions for commercial strategy, brand planning, and lifecycle management.
  • Translating given business problems into executable AI/ML workflows using time-series forecasting, clustering, classification, and NLP.
  • Integrating primary research, secondary data, and third-party sources (e.g., IQVIA, DRG, RWD) to inform forecasting models and recommendations.
  • Performing market analysis leveraging AI-based tools to support competitive intelligence, lifecycle management, and launch strategy activities.
  • Collaborating with cross-functional teams to ensure solutions are technically sound and aligned with business requirements.
  • Maintaining and enhancing Excel-based and code-based forecasting models, transforming them into client-ready dashboards.
  • Continuously monitoring model outputs and implementing improvements to enhance accuracy.

To be successful in this role, you will require:

  • A Bachelor's degree in Life Sciences, Engineering, Computer Science, or related field; a Master's degree in Biotech, Data Science, Business Analytics, or MBA is preferred.
  • Minimum 4-5 years of experience in commercial pharma analytics or consulting, with hands-on AI/ML application preferred.
  • Hands-on experience with forecasting models, data analysis, and reporting tools.
  • Familiarity with AI/ML concepts, particularly in forecasting applications.
  • Experience with Python, R, SQL, Power BI/Tableau, and ML libraries will be preferred.

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