Data Scientist - Pharma Commercial, Patient Insights & Gen AI (AC/C Level)

Improzo; Pune District; On-site; INR 1,000,000 - 1,500,000; Full time

Benefits offered by this job

Competitive salary

Opportunity for professional development

Collaborative work environment

Job summary

A leading analytics firm in Pune is looking for a Data Scientist to drive pharma insights using advanced machine learning and generative AI. You will work with complex healthcare data to optimize commercial strategies and improve patient outcomes. Ideal candidates will have a Master’s or Ph.D. in a relevant field and 4+ years of experience in pharma or healthcare analytics. This role offers a competitive salary and the chance to work on groundbreaking projects in life sciences.

Qualifications

• 4+ years of experience as a Data Scientist in healthcare/pharma.
• Experience with pharma datasets like IQVIA and Veeva.
• Solid understanding of commercial pharma operations.

Responsibilities

• Engage with stakeholders to understand challenges and clean data.
• Design and validate models for analytics and patient adherence.
• Transform findings into actionable insights and presentations.

Skills

Data Science

Machine Learning

Python

SQL

Data Visualization

NLP

Education

Master's or Ph.D. in Data Science or related field

Tools

Tableau

Power BI

AWS

Azure

GCP

TensorFlow

PyTorch

Job description

Overview

Data Scientist - Pharma Commercial, Patient Insights & Gen AI (AC/C Level) — Pune

We are seeking a Data Scientist to drive insights for pharma clients using advanced ML, Gen AI, and LLMs on complex healthcare data. You will help optimize pharma commercial strategies (forecasting, marketing, SFE) and improve patient outcomes (journey mapping, adherence, RWE).

Responsibilities

• Data Exploration & Problem Framing: Engage with client/business stakeholders to understand challenges and objectives; clean and prepare large, diverse datasets (sales, prescriptions, claims, EHRs, patient support data, CRM, RWE, etc.); translate problems into well-defined data science questions and analytical frameworks.
• Advanced Analytics & Model Development: Design, validate, and deploy statistical models and ML algorithms for sales forecasting, marketing mix optimization, customer segmentation, SFE analysis, incentive compensation modelling, and market access analytics; analyze promotional effectiveness and patient adherence; build models for patient journey mapping and outcome drivers from RWE.
• Generative AI & LLM Solutions: Extract insights from unstructured text, produce summaries of complex documents, generate internal content (reports, competitive summaries), augment data or generate synthetic data, develop intelligent search or Q&A systems; apply prompt engineering and retrieval-augmented generation (RAG).
• Insight Generation & Storytelling: Transform findings into clear narratives and actionable recommendations; create data visualizations and presentations using Tableau, Power BI, Python/R libraries.
• Collaboration & Project Lifecycle Management: Work with cross-functional teams; support end-to-end DS lifecycle from data acquisition to deployment (MLOps) and monitoring in production.

Qualifications

• Master's or Ph.D. in Data Science, Statistics, Computer Science, Applied Math, Economics, Bioinformatics, Epidemiology, or related field.
• 4+ years of experience as a Data Scientist, with a track record of applying advanced analytics to healthcare/pharma or life sciences contexts; experience with pharma datasets (e.g., sales data from IQVIA, Symphony; CRM data from Veeva) is a plus.
• Solid understanding of pharmaceutical commercial operations (sales force effectiveness, marketing, market access, CRM).
• Experience with real-world patient data (claims, EHR, pharmacy data, patient registries) and patient journey understanding.
• Strong programming skills in Python (Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch) and/or R; proficient in SQL.
• Experience with ML frameworks, data visualization tools (Tableau, Power BI) and visualization libraries.
• Familiarity with cloud platforms (AWS, Azure, GCP) and big data technologies (Spark, Hadoop) is advantageous.
• Desirable: NLP, Generative AI, LLMs, prompt engineering, fine-tuning LLMs, Hugging Face models or major LLM APIs (OpenAI, Anthropic, Google); MLOps experience (MLflow, Kubeflow, Docker, Kubernetes).
• Knowledge of pharma/biotech regulations (HIPAA, CCPA, SOC, etc.).
• Excellent communication, presentation, and interpersonal skills; ability to work independently and in cross-functional teams; strong leadership and mentoring capabilities.

Benefits

• Competitive salary and benefits package.
• Opportunity to work on cutting-edge analytics projects in life sciences.
• Collaborative and supportive work environment; opportunities for professional development and growth.

Location: Pune, Maharashtra, India