Lead Data Scientist - Pharma Analytics
First seen by Alion on Oct 29, 2026.
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.
Skills
Data Science, Machine Learning, Python, SQL, Time Series Forecasting, Data Scientist, Predictive Modeling, Statistical Modeling