Lead Data Scientist - Pharma Analytics

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 strong 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.