We are looking for a highly skilled Lead Data Scientist / Data Scientist with strong expertise in Causal Modelling and Classical Machine Learning to work on advanced analytics initiatives. The primary focus of this role will be on Automated Insights Generation, where causal inference techniques will be applied to identify key drivers and relationships within complex datasets. The ideal candidate should have hands-on experience in both DAG-based and non-DAG causal algorithms, strong ML fundamentals, and experience in deploying machine learning models into production environments. The role will also have exposure to future Generative AI initiatives, making familiarity with GenAI concepts an added advantage.
Key Responsibilities
• Design and implement causal inference models using both DAG-based and non DAG-based algorithms to generate actionable insights.
• Work on Automated Insights Generation systems that identify cause-effect relationships from large-scale datasets.
• Develop, train, validate,
and optimize classical machine learning models for predictive and analytical use cases.