Predictive Modelling

Key Responsibilities:

• Analyse large datasets from various sources (Claims, Sales, Promotions, etc.) to uncover insights and drive decision-making processes.
• Develop and implement sophisticated data analysis, machine learning, and deep learning models to interpret complex pharmaceutical data & provide solutions as an individual contributor to business questions and problems in the field of Predictive Modelling
• Collaborate with cross-functional teams to integrate AI-driven solutions across various platforms and services.
• Fosters collaboration with the team; mentor a small team of Associate Analysts/ Analysts/Senior Analysts in delivering projects.
• Deliver through structured project management approach with appropriate documentation and communication throughout project delivery cycle.
• Support in creation and maintenance of standard operating procedures (SOPs), quality checklists (QCs) that will enable excellent quality outputs within the function.
• Support in design and experiments for predictive analytics to optimize patient journey & HCP behavioural outcomes.
• Support the exploration and integration of cutting-edge AI technologies, particularly in the field of generative AI & LLM technologies.
• Contribute to team recruitment and on-boarding of new associates within the organization.
• Comply with all internal functional operating procedures like time & KPIs tracking, and other internal systems and processes.

Essential Requirements:

• Minimum of 5 years of experience in data science, with 2-3 years of experience in the pharmaceutical healthcare industry, especially in patient / HCP predictive modelling.
• Deep understanding of Machine Learning, Deep Learning algorithms, Foundational/ LLM models, Statistics, and Predictive Analytics
• Proficient in programming languages such as Python, PySpark, Databricks, R
• Experience in building and deploying scalable machine learning models (e.g. cloud-based services such as AWS and Azure)