Role Overview

We are looking for a highly motivated Lead Data Scientist who can combine deep technical expertise with robust leadership capabilities. This role is ideal for someone who enjoys building analytics solutions while also mentoring a team, driving technical excellence, and partnering with stakeholders to deliver high-impact commercial analytics solutions for global pharmaceutical clients. The ideal candidate should be equally comfortable writing production-ready code, designing scalable analytical frameworks, reviewing team deliverables, and leading projects from concept to implementation.

Role & responsibilities

What You'll Do
Technical Leadership
Lead the design, development, and deployment of advanced analytics solutions across commercial pharma use cases.
Provide technical direction to a team of data scientists and analysts, ensuring high-quality, scalable, and reusable solutions.
Review code, analytical methodologies, and model outputs to maintain engineering and analytical standards.
Establish best practices for data science development, model governance,



documentation, and version control.
Drive innovation by evaluating and implementing up-to-date AI/ML techniques, including Generative AI applications.

Hands-on Analytics & Data Science
Build and optimize models across:
HCP Targeting & Segmentation
Territory Sizing & Alignment
Sales Force Effectiveness
Patient-Based & ML Forecasting
Patient Journey & Access Analytics
Marketing Analytics & Campaign Effectiveness
Omnichannel Analytics
Work extensively with Python, SQL, Spark, and large-scale healthcare datasets (claims, CRM, specialty pharmacy, formulary, EMR, etc.).
Perform feature engineering, model development, validation, and performance optimization.
Design scalable data pipelines and reusable analytical frameworks.
Build AI-powered solutions, including RAG pipelines, LLM-based insight generation, and intelligent automation where applicable.

Team Leadership & D

📌 Data Scientist Pune (India)
🏢 Circulants
📍 India