Senior Manager - Data Science

We are a technology-led healthcare solutions provider driven by our purpose to enable healthcare organizations to be future-ready. We offer accelerated, global growth opportunities for individuals who are bold, industrious, and nimble. With Indegene, you will experience a unique career journey that celebrates entrepreneurship and is guided by passion, innovation, collaboration, and empathy. Looking to kick-start your career We understand the significance of the initial years of your professional journey, which lay the foundation for your future growth. At Indegene, we offer a differentiated career experience where you will work at the exciting intersection of healthcare and technology and be mentored by some of the brightest minds in the industry. We provide a global fast-track career path that aligns with Indegene's high-speed growth. At Indegene, we are purpose-driven, ensuring that healthcare organizations are future-ready, with customer obsession as our driving force. We are bold in our actions, nimble in decision-making, and industrious in our approach to work. Role: Senior Manager Data Science Overview: We are in search of a dynamic and experienced Senior Manager to join our team, playing a pivotal role in understanding client requirements, assessing existing ecosystems, and leading the implementation for our pharma clients. Key Responsibilities: - Collaborate closely with clients to understand their requirements and objectives, including implementing Omnichannel strategy. - Lead the assessment of existing ecosystems, including client portfolio plans, technical architecture, and data models. - Work with cross-functional teams to design and implement optimal solutions, ensuring seamless integration with existing processes. - Utilize pharma industry exposure to provide strategic insights and recommendations for client objectives. - Demonstrate proficiency in working with diverse pharma datasets and assess their suitability for integration into the proposed solution. - Apply data science skills, especially in MLOps, to ensure robust and scalable model deployment. - Build strong client relationships, act as a trusted advisor, and ensure client satisfaction throughout the implementation process. - Provide training and support to internal teams for successful project implementations. - Manage multiple projects simultaneously, ensuring progress across all projects with proper prioritization and workload distribution. - Develop and share innovative analytical techniques, processes, and tools that can be leveraged across projects and engagements. - Support business development activities by building new capabilities and participating in client meetings as a subject matter expert. - Contribute to thought leadership by writing whitepapers and articles at the BU and organization level. - Stay updated on industry trends and implement best practices to enhance in-house capabilities. Desired Profile: Qualifications: - Bachelor's or Master's degree in Computer Science, Data Science, or Pharmaceutical Sciences. - 9 years of experience leading analytical projects in the pharma domain. - 7 years of experience in advanced analytics, including AI, machine learning, predictive modeling, and statistics modeling. - Experience in pharma commercial analytics is advantageous. - Proven track record of successfully implementing omnichannel strategy or similar technologies in the pharmaceutical industry. - Strong understanding of the pharma ecosystem, key data sources, industry trends, and compliance requirements. - Proficiency in machine learning techniques and algorithms, such as XGBoost, Random Forest, Linear Regression, Logistic Regression, etc. - Experience in areas like risk-score modeling, customer segmentation, impact assessment, attribution analytics, etc., is preferred. - Proficiency in data science tools including Python, SQL, PySpark, Dataiku, AWS cloud services, Git, Tableau, PowerBI, etc. - Experience in MLOps is advantageous. - Strong client management and communication skills with the ability to build and nurture relationships. - Excellent analytical, problem-solving, and project management skills. - Willingness to work in a demanding and result-oriented team environment. - Excellent communication skills with the ability to convey complex ideas clearly. EQUAL OPPORTUNITY Locations: Bangalore, KA, IN If this opportunity excites you, apply below to explore a fulfilling career at the convergence of healthcare and technology with Indegene.,