Job Title: Senior Analyst – Data Science
Location: Bangalore, India
Experience Required: 5–6 Years
Employment Type: Full-Time
We are seeking a Senior Analyst – Data Science to lead end-to-end analytical solutioning and model development for pharmaceutical commercial analytics. You will contribute to omnichannel engagement strategies and deploy advanced ML models in real-world healthcare scenarios.
Partner with client stakeholders and internal teams to gather business requirements and translate them into machine learning and analytical solutions.
Design and implement Decision Engine workflows supporting Next Best Action (NBA) strategies.
Analyze complex datasets from sources such as APLD, CRM, patient claims, market share, and segmentation databases.
Perform deep-dive analyses and develop insights for commercial and medical teams.
Develop and maintain predictive models for use cases including patient journey analysis, HCP targeting, risk scoring, sales forecasting, and marketing mix modeling.
Deploy and maintain MLOps pipelines using platforms like Dataiku, Git, and AWS for scalable model operations.
Ensure data accuracy through systematic quality control, test case development, and validation protocols.
Mentor junior team members on best practices in coding, feature engineering, and model explainability.
Monitor evolving trends in data science, regulatory compliance, and life sciences analytics to continuously improve solutions.
5+ years of experience in pharmaceutical commercial analytics, with expertise in brand analytics, omnichannel engagement, and machine learning.
3+ years of experience developing and deploying predictive models in production environments.
Hands-on expertise in data platforms like Snowflake, Dataiku, and AWS.
Proficient in programming using PySpark, Python, and SQL.
Working knowledge of MLOps practices such as version control, model monitoring, and automation.
Deep familiarity with pharmaceutical datasets such as APLD, DDD, NBRx, TRx, CRM, and digital engagement data.
Proficient in ML techniques like XGBoost, Random Forest, SVM, Logistic Regression, Neural Networks, and NLP.
Strong experience with use cases like NBA, recommendation systems, segmentation, collaborative filtering, and marketing ROI.
Proven track record in building explainable models and using monitoring tools for model retraining.
Excellent communication skills for both technical and non-technical audiences.
Familiarity with dashboarding tools like Tableau or Power BI is a plus.
Ability to work under pressure and deliver high-quality results within tight deadlines.
Bachelor’s or Master’s Degree in Computer Science, Data Science, Statistics, or a related field.
Indegene is a healthcare solutions provider driven by innovation and purpose. With global growth opportunities, a technology-driven culture, and strong industry leadership, we empower individuals to make a global impact at the intersection of healthcare and data science.
