Lead Data Scientist - Forecasting & Supply Chain

Roles & Responsibilities :

• Lead end-to-end development of demand forecasting models using classical time series (ARIMA, Exponential Smoothing), machine learning, and demand sensing techniques using market intelligence and historical sales data.
• Design and implement mathematical optimization solutions for production planning, scheduling and network optimization across manufacturing and distribution points.
• Work directly with supply chain leaders to translate business problems into quantitative models and deliver measurable improvements in service levels, cost, and efficiency.
• Deploy and maintain solutions in production environments, collaborating with engineering and business intelligence teams.
• Quantify business impact (e.g. xx% reduction in stockouts, xx% reduction in idle stock).

Technical & Functional Skills :

About the Department | Digital Process and Excellence (DPEx) :

Our digital transformation journey is led by the DPEx team and is structured along the lines of Digitalize the Core and Transform with Digital.

With a mandate to ensure continuous process improvement and drive patient centric innovation, it spans all functions and operations. In other words, you could be working on projects to expedite research outcomes one day, designing customer engagement platforms the next and simplifying warehouse processes the third.

Some its priorities are :