Predictive Modelling

7 days ago

Chennai Hyderabad, India Agilisium Full time ₹ 12,00,000 - ₹ 36,00,000 per year

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)

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