Job Description

We are a technology-led healthcare solutions provider. We are driven by our purpose to enable healthcare organizations to be future-ready. We offer accelerated, global growth opportunities for talent that’s bold, industrious, and nimble. With Indegene, you gain a unique career experience that celebrates entrepreneurship and is guided by passion, innovation, collaboration, and empathy. To explore exciting opportunities at the convergence of healthcare and technology, check out www.careers.indegene.com Looking to jump-start your career? We understand how important the first few years of your career are, which create the foundation of your entire professional journey. At Indegene, we promise you a differentiated career experience. You will not only work at the exciting intersection of healthcare and technology but also will be mentored by some of the most brilliant minds in the industry. We are offering a global fast-track career where you can grow along with Indegene’s high-speed growth. We are purpose-driven.  We enable healthcare organizations to be future ready and our customer obsession is our driving force. We ensure that our customers achieve what they truly want. We are bold in our actions, nimble in our decision-making, and industrious in the way we work.

Must Have

Role: Data Analyst - Data Science
 
Descriptions: We are looking for a results-driven and hands-on Data Scientist / Analyst with 3 years of experience to lead analytical solutioning and model development in the pharmaceutical commercial analytics domain. The ideal candidate will play a central role in designing and deploying Decision Engine frameworks, implementing advanced analytics solutions, and mentoring junior team members.

Key Responsibilities:
•    Partner with cross-functional teams and client stakeholders to gather business requirements and translate them into robust ML/analytical solutions.
•    Design and implement Decision Engine workflows to support Next Best Action (NBA) recommendations in omnichannel engagement strategies.
•    Analyze large and complex datasets across sources like APLD, sales, CRM, call plans, market share, patient claims, and segmentation data.
•    Perform ad hoc and deep-dive analyses to address critical business questions across commercial and medical teams.
•    Develop, validate, and maintain predictive models for use cases such as patient journey analytics, HCP targeting, sales forecasting, risk scoring, and marketing mix modeling.
•    Implement MLOps pipelines using Dataiku, Git, and AWS services to support scalable and repeatable deployment of analytics models.
•    Ensure data quality through systematic QC checks, test case creation, and validation frameworks.
•    Lead and mentor junior analysts and data scientists in coding best practices, feature engineering, model interpretability, and cloud-based workflows.
•    Stay up to date with industry trends, regulatory compliance, and emerging data science techniques relevant to life sciences analytics.
•    Around 3 years of hands-on experience in pharmaceutical commercial analytics, with exposure to cross-functional brand analytics, omnichannel measurement, and ML modeling.
•    Around 3 years of experience developing and deploying predictive models and ML pipelines in real-world settings.
•    Proven experience with data platforms such as Snowflake, Dataiku, AWS, and proficiency in PySpark, Python, and SQL.
•    Experience with MLOps practices, including version control, model monitoring, and automation.
•    Strong understanding of pharmaceutical data assets (e.g., APLD, DDD, NBRx, TRx, specialty pharmacy, CRM, digital engagement).
•    Proficiency in ML algorithms (e.g., XGBoost, Random Forest, SVM, Logistic Regression, Neural Networks, NLP).
•    Experience in key use cases: Next Best Action, Recommendation Engines, Attribution Models, Segmentation, Marketing ROI, Collaborative Filtering.
•    Hands-on expertise in building explainable ML models and using tools for model monitoring and retraining.
•    Familiarity with dashboarding tools like Tableau or PowerBI is a plus.
•    Strong communication and documentation skills to effectively convey findings to both technical and non-technical audiences.
•    Ability to work in a dynamic, fast-paced environment and deliver results under tight timelines.

Good to have

EQUAL OPPORTUNITY

Indegene is proud to be an Equal Employment Employer and is committed to the culture of Inclusion and Diversity. We do not discriminate on the basis of race, religion, sex, colour, age, national origin, pregnancy, sexual orientation, physical ability, or any other characteristics. All employment decisions, from hiring to separation, will be based on business requirements, the candidate’s merit and qualification. We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, national origin, gender identity, sexual orientation, disability status, protected veteran status, or any other characteristics.