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 robust relationships with senior stakeholders and act as a trusted analytics advisor. Required

Skills:
● Advanced proficiency in Python ● Advanced proficiency in SQL. Strong expertise in: ● Machine Learning or Predictive Modeling ● Statistics ● Hypothesis Testing ● Feature Engineering ● Model Validation ● Forecasting ● Data Visualization: ● Power BI (Preferred) ● Tableau (Alternative) ● Cloud exposure in at least one ● AWS Internal Use Only ● Azure ● GCP

📌 Lead Data Scientist (India)
🏢 VAYUZ Technologies
📍 India