Title: Senior Analyst - Data Science

Date: 3 Jun 2025

Location:

Bangalore, KA, IN

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 is 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

What if we told you that you can move to an exciting role in an entrepreneurial organization without the usual risks associated with it?

We understand that you are looking for growth and variety in your career at this point and we would love for you to join us in our journey and grow with us. At Indegene, our roles come with the excitement you require at this stage of your career with the reliability you seek. We hire the best and trust them from day 1 to deliver global impact, handle teams and be responsible for the outcomes while our leaders support and mentor you.

We are a profitable rapidly growing global organization and are scouting for the best talent for this phase of growth. With us, you are at the intersection of two of the most exciting industries of healthcare and technology. We offer global opportunities with fast-track careers while you work with a team that is fueled by purpose. The combination of these will lead to a truly differentiated experience for you.

If this excites you, then apply below.

Role: Senior Analyst - Data Science

Descriptions: We are looking for a results-driven and hands-on Lead Data Scientist / Analyst with 5–6 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.

Must Have

• 5+ years of hands-on experience in pharmaceutical commercial analytics, with exposure to cross-functional brand analytics, omnichannel measurement, and ML modeling.
• At least 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.

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.