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Senior Manager - Data Science
Indegene
posted 14hr ago
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Job Description
Title: Senior Manager - Data Science
Date: 26 Dec 2024
Location:
Bangalore, KA, IN
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.
If this excites you, then apply below.
Role: Senior Manager - Data Science
Description:
Overview
======
We are seeking a dynamic and experienced Senior Manager to join our team who will play a pivotal role in understanding client requirements, assessing existing ecosystems, and leading the implementation for our pharma client.
Key Responsibilities:
=============
Work closely with clients to comprehend their requirements and varied objectives including (but not limited to) implementation of Omnichannel strategy
Lead the assessment of existing ecosystems across key pillars, including client portfolio plans & objectives, technical architecture, data models etc
Collaborate with cross-functional teams to design and implement the optimal solution, ensuring seamless integration with existing processes
Leverage pharma industry exposure to provide strategic insights and recommendations for stated client objectives
Demonstrate proficiency in understanding and working with diverse pharma datasets, and assess their suitability for integration into the proposed solution
Apply data science skills, with expertise in MLOps being a significant plus, to ensure robust and scalable model deployment
Foster strong client relationships, serving as a trusted advisor and ensuring client satisfaction throughout the implementation process
Provide training and support to internal teams to ensure smooth and continued success on project implementations
Handle multiple projects at any point in time, ensuring that progress is made across all the projects, with appropriate prioritization and workload distribution within the team
Develop and disseminate innovative analytical techniques, processes and tools, that can be leveraged across projects / engagements
Support business development activities by building new capabilities and participating in client meetings as a subject matter expert
Provide thought leadership by contributing to whitepapers and articles at the BU and organization level
Monitor industry trends and implement best practices to improve in-house capabilities
======
We are seeking a dynamic and experienced Senior Manager to join our team who will play a pivotal role in understanding client requirements, assessing existing ecosystems, and leading the implementation for our pharma client.
Key Responsibilities:
=============
Work closely with clients to comprehend their requirements and varied objectives including (but not limited to) implementation of Omnichannel strategy
Lead the assessment of existing ecosystems across key pillars, including client portfolio plans & objectives, technical architecture, data models etc
Collaborate with cross-functional teams to design and implement the optimal solution, ensuring seamless integration with existing processes
Leverage pharma industry exposure to provide strategic insights and recommendations for stated client objectives
Demonstrate proficiency in understanding and working with diverse pharma datasets, and assess their suitability for integration into the proposed solution
Apply data science skills, with expertise in MLOps being a significant plus, to ensure robust and scalable model deployment
Foster strong client relationships, serving as a trusted advisor and ensuring client satisfaction throughout the implementation process
Provide training and support to internal teams to ensure smooth and continued success on project implementations
Handle multiple projects at any point in time, ensuring that progress is made across all the projects, with appropriate prioritization and workload distribution within the team
Develop and disseminate innovative analytical techniques, processes and tools, that can be leveraged across projects / engagements
Support business development activities by building new capabilities and participating in client meetings as a subject matter expert
Provide thought leadership by contributing to whitepapers and articles at the BU and organization level
Monitor industry trends and implement best practices to improve in-house capabilities
Desired Profile:
Qualifications:
=========
Bachelors or Master s degree in Computer Science, Data Science, Pharmaceutical Sciences
9+ overall years of experience in leading analytical projects in pharma domain
7+ years of experience advanced analytics including AI, machine learning, predictive modelling, advanced analytics and statistics modelling
Experience in pharma commercial analytics is a plus
Proven track record of successfully implementing omnichannel strategy or similar technologies in the pharmaceutical or related industry
Strong understanding of the pharma ecosystem and familiarity with key data sources (Digital, sales, CRM, APLD), industry trends, and compliance requirements
Excellent understanding of machine learning techniques and algorithms, such as XGBoost, Random Forest, Linear, Logistic Regression, k-NN, Naive Bayes, SVM, Decision Trees, Neural Nets, Transfer Learning, NLP etc
Experience in areas of risk-score modelling, customer segmentation, impact assessment, attribution analytics, collaborative filtering, marketing mix modelling, recommendation engines and natural language processing is highly preferred
Proficiency in data science techniques and tools including Python, SQL, PySpark, Dataiku, AWS cloud services, Git, Tableau, PowerBI, etc.
Experience in MLOps being a significant advantage
Exceptional client management and communication skills, with a demonstrated ability to build and nurture relationships
Strong analytical and problem-solving abilities, with a keen attention to detail
Excellent project management skills, including the ability to prioritize tasks, manage timelines, and deliver on commitments
Willing to work in a highly demanding and result-oriented team environment
Excellent communication skills; able to grasp and communicate complex ideas clearly
Qualifications:
=========
Bachelors or Master s degree in Computer Science, Data Science, Pharmaceutical Sciences
9+ overall years of experience in leading analytical projects in pharma domain
7+ years of experience advanced analytics including AI, machine learning, predictive modelling, advanced analytics and statistics modelling
Experience in pharma commercial analytics is a plus
Proven track record of successfully implementing omnichannel strategy or similar technologies in the pharmaceutical or related industry
Strong understanding of the pharma ecosystem and familiarity with key data sources (Digital, sales, CRM, APLD), industry trends, and compliance requirements
Excellent understanding of machine learning techniques and algorithms, such as XGBoost, Random Forest, Linear, Logistic Regression, k-NN, Naive Bayes, SVM, Decision Trees, Neural Nets, Transfer Learning, NLP etc
Experience in areas of risk-score modelling, customer segmentation, impact assessment, attribution analytics, collaborative filtering, marketing mix modelling, recommendation engines and natural language processing is highly preferred
Proficiency in data science techniques and tools including Python, SQL, PySpark, Dataiku, AWS cloud services, Git, Tableau, PowerBI, etc.
Experience in MLOps being a significant advantage
Exceptional client management and communication skills, with a demonstrated ability to build and nurture relationships
Strong analytical and problem-solving abilities, with a keen attention to detail
Excellent project management skills, including the ability to prioritize tasks, manage timelines, and deliver on commitments
Willing to work in a highly demanding and result-oriented team environment
Excellent communication skills; able to grasp and communicate complex ideas clearly
EQUAL OPPORTUNITY
Employment Type: Full Time, Permanent
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(based on 102 Indegene interviews)
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Referral
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Recruitment Consultant
42%
13%
12%
7%
2%
1%
23% candidates got the interview through other sources.
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What people at Indegene are saying
Senior Data Science Manager salary at Indegene
reported by
2
employees
with 6-11
years exp.
₹52.2
L/yr - ₹57.8
L/yr
33%
more
than the average Senior Data Science Manager Salary in India
View more details
What Indegene employees are saying about work life
based on 1.1k employees
Flexible timing
Monday to Friday
No travel
Day Shift
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Indegene Bangalore / Bengaluru Office Locations
Bengaluru Office
Aspen G-4 Block, Manyata Embassy Business Park Nagawara 3rd Floor, Outer Ring Rd, Manayata Tech Park, Thanisandra, Bengaluru, Karnataka 560045, India
Bengaluru
560045
560045
Bengaluru Office
7/6, Brunton Road, Craig Park Layout, Ashok Nagar, Bengaluru, Karnataka 560025, India
Bengaluru
560025
560025
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