Job Title

Key Responsibilities:- Apply advanced forecasting methodologies to estimate sales and revenue for newly launched and pipeline pharmaceutical products (Demand Forecasting good to have skills). - Incorporate financial modelling and corporate finance principles into forecasting frameworks to support long-term strategic planning. - Develop robust, data-driven models that incorporate market dynamics, patient behaviour, and competitive intelligence to generate accurate and actionable forecasts. - Collaborate cross-functionally with marketing, commercial, and research teams to ensure alignment of forecasts with strategic objectives and product positioning. - Leverage statistical, machine learning, and deep learning techniques to uncover insights that inform launch strategies and optimize product performance. - Partner with key business stakeholders to identify, scope, and execute predictive analytics initiatives that address critical business needs and deliver measurable value. - Maintain a strong understanding of the pharmaceutical landscape from financial operations to commercialization To provide objective, data-driven input into strategic decisions. - Collaborate within the analytics team, openly sharing knowledge and seeking feedback to enhance the quality and impact of analytical deliverables. - Stay current with emerging techniques and tools in predictive analytics, ensuring methodological rigor and adaptability in approach. - Work comfortably with varied data sources and types, ensuring seamless integration and analysis across structured and unstructured datasets.Requirements:- Minimum of 5 years of working experience as a Data Scientist in industry. - Deep and broad knowledge of Data Science methods and tools including Simulation model building principles, Machine Learning, and best practices: - Point Forecasting and Probabilistic Forecasting. - Statistical Forecasting: ARIMA, THETA, Exponential Smoothing - ML-based Forecasting: GBM, LightGBM, XGBoost, Linear Regression - DL-based Forecasting: DeepAR, NBEATS, LSTM, RNN - Hierarchical Forecasting - Cross-Validation: Rolling-window, Expanding-window, K-fold, Hold-out - MLOps is also good to have skills. - Any type of simulation model experience (Good to have). - Agent-based Simulation Model using Anylogic (Good to have). - Exposure to LLM or GPT good to have skillsKey Skills: Data Scientist, Machine Learning, Statistical Forecasting, Python