Requirements :

- 15+ years of overall experience in Data Science / Advanced Analytics, including at least 5+ years of Pharma commercial analytics experience.

- Demonstrated hands-on capability (not only oversight) in predictive modelling, Machine Learning, Deep Learning, Generative AI, and Agentic AI solutions.

- Proven experience managing large data science teams (30+ associates) across multiple concurrent client engagements.

- Strong track record of client relationship management with top pharmaceutical/life sciences companies.

- Experience contributing to pre-sales, proposal development, and account growth in a consulting/analytics services environment.

- Excellent executive communication, storytelling, and stakeholder management skills.

- Strong business acumen with the ability to translate analytics into commercial impact and ROI.

Key Responsibilities :

- Define and execute the overarching data strategy to ensure alignment with client business objectives and long-term product roadmaps.

- Architect robust AI and machine learning frameworks that can be deployed at scale across diverse enterprise environments.

- Lead and mentor multidisciplinary teams of data scientists and analysts to foster a culture of technical rigor and continuous innovation.

- Oversee the end-to-end lifecycle of machine learning models, from initial hypothesis generation to MLOps integration and performance monitoring.

- Partner with senior leadership to identify new market opportunities for data-driven interventions, directly influencing revenue growth and operational efficiency.

- Establish best practices for statistical modeling and deep learning to ensure high-quality, reproducible, and ethical AI outputs for global clients.