Associate principal/principal

Pharma ACE 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 Forec Ast Ing 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: Act as the primary client contact for key AI/analytics engagements, ensuring alignment between project deliverables and strategic business needs. Facilitate client workshops, deliver strategic recommendations, and manage expectations across multiple stakeholders. Present AI-enabled insights and model outputs through compelling narratives and data visualizations tailored for business leaders. Stay up to date with the new technological advancement in the forecasting space and being a thought partner for our clients to drive innovative solution in their respective organization Develop deep client relationships to identify follow-on opportunities and contribute to