Principal Forecasting & Analytics Consultant

PharmaACE has been a thought leader and go-to partner for major pharmaceutical companies, supporting their commercial forecasting needs for over two decades. Our deep expertise spans Forecasting, Business Analytics, Competitive Intelligence, Sales Analytics , and operating through an Analytics Centre of Excellence model.

With the evolving market landscape, we are building the next generation of forecasting solutions by leveraging Generative AI . If you’ve mastered traditional forecasting models and are eager to expand into new-age skill sets —including Python, prompt engineering, building data pipelines, and designing agentic workflows —this is your opportunity.

Let’s work together to make Forecasting truly ForecAstIng

Responsibilities :

Development and Implementation of Forecasting AI Solution :

• Lead end-to-end delivery of applied AI and analytics driven forecasting projects, combining pharmaceutical domain knowledge with advanced data science techniques to deliver actionable insights.
• Drive design and implementation of ML-based forecasting models, market sizing tools, and other AI solutions for commercial strategy, brand planning, and lifecycle management.
• Translate business challenges into AI / ML use cases and oversee development and deployment of appropriate models (e.G., time-series, clustering, classification, NLP).
• Integrate and analyze primary research, secondary data, and third-party sources (e.G., IQVIA, DRG, RWD) to inform strategic recommendations.
• Conduct robust market analysis leveraging AI-based tools (e.G., LLMs, ML-based forecasting models) to provide competitive intelligence and recommendations on brand planning, lifecycle management, and launch strategies.
• Collaborate with cross-functional teams (data scientists, engineers, consultants) to ensure technical robustness and business relevance of all solutions.
• Develop and refine Excel-based and code-based (Python / R) forecasting models and transform them into client-facing tools and dashboards using platforms like Power BI or Tableau.
• Continuously monitor and increase the accuracy of the forecast models
• Leverage XAI (explainable AI) methodologies to ensure models are interpretable, trustworthy, and aligned with client regulatory frameworks.

Leadership :

Team Leadership & Capability Building

Qualifications :

Master’s in Biotech, Data Science, Business Analytics, or MBA preferred.

Other Competencies :