Job
Description
As a Global Commercial AI Excellence Lead-Data Science at Novo Nordisk, you will have the opportunity to: Drive innovation and contribute to the development of AI and advanced analytics capabilities within Portfolio Access Strategy and Pricing (PSAP). Collaborate with cross-functional teams to identify opportunities for leveraging AI and analytics to optimize forecasting, payer evidence and pricing strategies. Design and Deploy AI-powered models focused on patient segmentation, risk prediction modelling, price sensitivity and revenue optimization algorithms, new product & inline product forecasting. Build user centric tools or apps using Business Intelligence (BI) technologies to communicate the insights and drive usage across commercial teams. Collaborate with Business Intelligence team and Data Engineering team to provide inputs to drive the development and maintenance of a robust data foundation within PSAP. Qualifications University masters degree in Biostatistics, Mathematics, Economics, Engineering, Computer Science, Information Technology, Life Sciences or equivalent. Masters degree/ bachelors with Minimum 6 years of experience in data science, preferably within FMCG, banking/insurance, pharma or consultancy. Documented experience with data science and Machine learning applications. Experience in programming languages such as Python, SQL, R etc. PySpark, BigData (Hadoop etc.) and advanced analytical tools such as PowerBI or Tableau, ML OPS (Azure or elsewhere) will be preferred. Specialized on forecasting techniques such as Time Series like ARIMA, ARIMAX, Prophet, XGBoost (other GBM techniques), Monte Carlo simulation, Segmentation and Prediction techniques such as Regression, Support Vector Machines, Clustering, Decision trees, Random forests, preferred (ANN, CNN, Deep Neutral Networks) will be preferred. Experience leveraging (Gen)AI and other latest large language models.
