Lead Data Scientist

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

● 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