Job
Description
9+ overall years of experience in leading analytical projects in pharma domain 7+ years of experience advanced analytics including AI, machine learning, predictive modelling, advanced analytics and statistics modelling Experience in pharma commercial analytics is a plus Proven track record of successfully implementing omnichannel strategy or similar technologies in the pharmaceutical or related industry Strong understanding of the pharma ecosystem and familiarity with key data sources (Digital, sales, CRM, APLD), industry trends, and compliance requirements Excellent understanding of machine learning techniques and algorithms, such as XGBoost, Random Forest, Linear, Logistic Regression, k-NN, Naive Bayes, SVM, Decision Trees, Neural Nets, Transfer Learning, NLP etc Experience in areas of risk-score modelling, customer segmentation, impact assessment, attribution analytics, collaborative filtering, marketing mix modelling, recommendation engines and natural language processing is highly preferred Proficiency in data science techniques and tools including Python, SQL, PySpark, Dataiku, AWS cloud services, Git, Tableau, PowerBI, etc. Experience in MLOps being a significant advantage Exceptional client management and communication skills, with a demonstrated ability to build and nurture relationships Strong analytical and problem-solving abilities, with a keen attention to detail Excellent project management skills, including the ability to prioritize tasks, manage timelines, and deliver on commitments Willing to work in a highly demanding and result-oriented team environment Excellent communication skills; able to grasp and communicate complex ideas clearly Ai/ Ml, Data Science, Pharma
