Lead Data Scientist

We are hiring a Lead Data Scientist Pharma Analytics to lead client-facing analytics engagements and deliver advanced AI/ML solutions for global pharmaceutical organizations.

The ideal candidate will possess deep expertise in Pharma Commercial Analytics Marketing Analytics Machine Learning Advanced Analytics and Data Science delivery with strong hands-on experience in Python SQL Cloud technologies and pharma datasets. The role requires balancing technical excellence stakeholder management and team leadership while translating complex business problems into scalable analytics solutions.

• Partner with business stakeholders and clients to understand business challenges and translate them into analytical solutions.
• Design and deliver scalable data science and advanced analytics solutions.
• Lead end-to-end analytics projects from problem definition through deployment and impact measurement.
• Develop predictive models forecasting solutions machine learning algorithms and optimization frameworks.
• Drive insights generation through statistical modelling machine learning segmentation forecasting and performance analytics.
• Present actionable recommendations and storytelling-driven insights to senior client stakeholders.
  
  

• Lead mentor and develop a team of Data Scientists and Analysts.
• Conduct technical solution reviews code reviews and mentoring sessions.
• Drive adoption of best practices across Data Science AI/ML Cloud GenAI and Analytics delivery.
• Ensure high-quality and timely project execution.
  
  

• Collaborate closely with Pharma Commercial Marketing Brand Sales Market Access and Strategy teams.
• Participate in solution design capability building proposal development and client presentations.
• Build strong relationships with senior stakeholders and act as a trusted analytics advisor.

• Advanced proficiency in Python
• Advanced proficiency in SQL
• Strong expertise in:
  • Machine Learning
  • Predictive Modeling
  • Statistics
  • Hypothesis Testing
  • Feature Engineering
  • Model Validation
  • Forecasting
• Data Visualization:
  • Power BI (Preferred)
  • Tableau (Alternative)
• Cloud exposure in at least one:
  • AWS
  • Azure
  • GCP

Hands-on experience in one or more of:

• Commercial Analytics
• Sales Analytics
• Market Analytics
• Brand Analytics
• Performance Analytics
• Forecasting Analytics
  
  

Strong working knowledge of at least some of the following:

• IQVIA
• Symphony Health
• MMIT
• Truven
• HealthJump
• Prescription Data
• Claims Data
• Patient-Level Commercial Data
  
  

• Sales Force Effectiveness
• Territory Alignment
• Targeting & Segmentation
• Commercial Performance Measurement
• Incentive Compensation Analytics
• Launch Analytics
• Market Share Analytics

Strong experience in commercial and marketing analytics within pharmaceutical or life sciences organizations.

Hands-on experience in one or more of:

• Marketing Mix Modeling (MMM/MMX)
• Multi-Touch Attribution (MTA)
• Campaign Effectiveness
• Customer Segmentation
• Omnichannel Analytics
• Customer Journey Analytics
• Next Best Action (NBA)
• Forecasting Models

Experience in:

• Predictive Analytics
• Machine Learning
• Time Series Forecasting
• Recommendation Engines
• NLP Applications
• Customer Analytics
• Physician Analytics
• GenAI Solutions
• LLM-based Applications

• Generative AI and Agentic AI applications
• NLP and LLM-based Analytics
• Time Series Forecasting
• MLOps
• Databricks
• Snowflake
• Healthcare/Pharma Consulting experience
• Experience working with global pharmaceutical clients
• Exposure to advanced cloud-based ML deployments

• Strong analytical and problem-solving mindset.
• Ability to independently drive client conversations.
• Proven stakeholder management skills.
• Experience mentoring and developing analytics teams.
• Ability to manage multiple projects simultaneously.
• Strong written and verbal communication skills.
• Ability to influence senior stakeholders through data-driven recommendations.

• Bachelors or Masters degree in:
  • Statistics
  • Mathematics
  • Computer Science
  • Engineering
  • Data Science
  • Analytics
• MBA is an added advantage.

Required Experience:

Senior IC