Lead - Data Science and GenAI

Indegene Inc.

India

On-site

EUR 110,000 - 170,000

Full time

8 days ago

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Job summary

Indegene Inc. in Germany is seeking a Lead Data Scientist to drive advanced analytics across pharma commercial domains. You will lead engagements, develop innovative analytical solutions, and present data-driven insights to clients to shape strategic decisions.

Strong leadership and cross-functional collaboration are essential for success. The role requires 8+ years of consulting in Commercial Analytics with Pharma, plus expertise in MMM, Python, SQL, and visualization tools.

Qualifications

  • 8+ years of consulting experience in commercial analytics and pharma/life sciences.
  • Bachelor's in a quantitative field.
  • Experience delivering analytics projects to Pharma clients in the US market.
  • Proficiency in MS Excel, R, SQL, Python; exposure to Tableau/Power BI.
  • Strong leadership and communication skills.

Responsibilities

  • Lead engagements in commercial analytics areas like segmentation, targeting, MMM, promotion response, digital analytics.
  • Develop innovative analytical solutions to optimize commercial strategies across the pharmaceutical lifecycle.
  • Present findings to clients using storytelling and data visualization techniques.
  • Collaborate with clients to identify value-creating opportunities from data-driven insights.
  • Oversee analytics project execution from inception to delivery, ensuring client alignment and quality.

Skills

Marketing Mix Modeling
Python
SQL
Advanced Excel

Education

Bachelor's degree in a quantitative field

Tools

MS Excel
R
Tableau
Power BI

Job description

Job Title: Lead - Data Science and GenAI

Posting Start Date: 10/08/2026

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

Lead Data Scientist

You will be responsible for:

  • Lead engagements pertaining to any of the Commercial Analytics areas like Segmentation, Targeting, Market Mix Modelling, Promotion Response, Digital Analytics, etc.
  • Develop innovative analytical solutions to address specific business questions and optimize commercial strategies across various stages of the pharmaceutical product lifecycle
  • Present findings and recommendations to clients in a compelling and understandable manner, leveraging storytelling and data visualization techniques
  • Collaborate closely with clients to identify opportunities for value creation through data-driven insights and recommendations
  • Oversee the execution of analytical projects from inception to delivery, ensuring alignment with client expectations, timelines, and quality standards
  • Coordinate cross-functional efforts within the team and across departments to address complex client challenges effectively
  • Stay abreast of industry trends, market dynamics, and emerging technologies to continuously enhance the value proposition offered to clients

About you:

Your impact:

  • 8+ years' strong Consulting experience in Commercial Analytics, Marketing Mix & Pharma / Life Sciences domain
  • Bachelor's degree in a quantitative field such as Statistics, Mathematics, Economics, Computer Science, or related disciplines
  • Experience of having delivered consulting projects to Pharma clients for the US market.
  • Proven track record of successfully delivering impactful analytics solutions to drive business outcomes.
  • Proven experience in tools such as MS Excel, R, SQL, Python; relevant exposure to Tableau, Power BI.
  • Strong leadership and people management skills, with the ability to inspire and motivate a diverse team of analysts and consultants.
  • Excellent communication and presentation skills, with the ability to communicate complex concepts to both technical and non-technical audiences effectively.
  • Proven ability to frame a business issue, design the right solution, and deliver results.
  • Strategic mindset with a focus on innovation, problem-solving, and driving continuous improvement in analytics methodologies and practices.
  • Familiarity/expertise in pharmaceutical data sets, such as prescriber-plan data, patient-level data, transactional claims, EMR/EHR data, SPP Hub data, diagnostic data, etc., is a big plus.

Key skills : Marketing Mix Models

Sub skills : Marketing Mix Modeling, Python, SQL, Advanced Excel

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.

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