Job Description
Job Title:  Associate Manager - Data Science
Posting Start Date:  28/04/2026
Job Description: 

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: Associate Manager - Data Science
Description: 
Associate Manager Data Science - Design, develop and execute analytics techniques on large, complex, structured and unstructured data sets (including big data) to help clients make better fact-based decisions. You will develop new offerings/solutions to drive client impact by delivering client solutions and shape Indegene’s point of view in this space. You will be responsible for applying analytical techniques to model complex business problems, uncovering insights, and identifying opportunities using statistical, algorithmic, mining, and visualization techniques. We are seeking a highly skilled Data Science Manager to lead end to end delivery of Advanced Analytics and Data Science initiatives for enterprise clients. This role requires a blend of technical expertise, project leadership, and stakeholder management. The ideal candidate has significant experience managing interdisciplinary data teams, delivering complex analytical solutions, and owning senior level client engagements


Responsibilities: 
1.    Business Insights and Analytics Programs 
o    Lead the delivery of analytics programs and projects, overseeing project intake, process design, development, testing, and deployment. 
o    Collaborate with internal data leads, business operations, and technical development partners to deliver data solution projects within service level agreements. 
o    Support analytics solution design, KPI development, and perform ad hoc analytics to support priority projects as needed. 
o    Translate complex data into clear, actionable insights and recommendations
o    Drive consistency and quality across recurring deliverables (monthly reads, campaign analyses)
2.    Client & Stakeholder Management 
o    Serve as a primary point of contact for brand, media, and digital stakeholders
o    Lead client readouts with clarity, confidence, and structured storytelling
o    Proactively identify risks, gaps, and opportunities
o    Build trusted advisor relationships through consistent, high-quality delivery 
3.    Project Management and Monitoring 
o    Monitor project progress and tracking work activity, resolving issues, publishing status reports, and recommending next steps. 
o    Proactively identify risks or delays, working with relevant teams to drive resolution and keep projects on track. 
4.    Test & Learn / Experimentation 
o    Design and evaluate test & control experiments across media and marketing initiatives
o    Translate experiment results into business impact (e.g., script lift, patient starts, engagement)
o    Partner with data science teams to ensure methodological rigor and scalability 

Good to have

About You (Desired Profile): 
•    You have 8-10 years of core experience in Data Science / Statistics, ideally within the Life Sciences, Pharmaceutical or Healthcare industry, with deep expertise in campaign performance measurement.
•    You have hands-on experience designing and interpreting: A/B tests, matched market tests and incrementality studies
•    You are skilled at translating business requirements into actionable technical specifications for database delivery teams. 
•    You possess exceptional problem-solving, organizational, and communication skills, with the ability to distil complex concepts into clear, actionable plans. 
•    You are adept at building relationships with cross-functional stakeholders and driving alignment toward shared objectives. 
•    You have a consultative approach, with the ability to ask probing questions, identify gaps, and guide teams toward effective solutions. 
•    You are highly organized, with strong planning, time management, and stakeholder communication skills. 
•    You have hands-on experience with project management tools like JIRA and a strong understanding of analytics workflows and data solution design. 
•    You hold a bachelor’s degree in business, data science, analytics, or a related field; an advanced degree (e.g., MBA) is a plus. 

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.