Key Responsibilities : Analytics & Solution Delivery : - Partner with business stakeholders and clients to understand business challenges and translate them into analytical solutions.- Design and deliver scalable data science and advanced analytics solutions.- Lead end-to-end analytics projects from problem definition through deployment and impact measurement.- Develop predictive models, forecasting solutions, machine learning algorithms, and optimization frameworks.- Drive insights generation through statistical modelling, machine learning, segmentation, forecasting, and performance analytics.- Present actionable recommendations and storytelling-driven insights to senior client stakeholders.Team Leadership : - Lead, mentor, and develop a team of Data Scientists and Analysts.- Conduct technical solution reviews, code reviews, and mentoring sessions.- Drive adoption of best practices across Data Science, AI/ML, Cloud, GenAI,



and Analytics delivery.- Ensure high-quality and timely project execution.Client Engagement : - Collaborate closely with Pharma Commercial, Marketing, Brand, Sales, Market Access, and Strategy teams.- Participate in solution design, capability building, proposal development, and client presentations.- Build solid relationships with senior stakeholders and act as a trusted analytics advisor.Required Skills : - Advanced proficiency in Python and SQL.- Strong expertise in Machine Learning, Predictive Modeling, Statistics, Hypothesis Testing, Feature Engineering, Model Validation, and Forecasting.- Data Visualization : Power BI (Preferred) or Tableau (Alternative).- Cloud exposure : AWS, Azure, or GCP. (ref:hirist.tech)

📌 Lead Data Scientist - Pharma Analytics (Bengaluru)
🏢 VAYUZ Technologies
📍 Bengaluru