Description

You will own data science initiatives end-to-end, from problem framing and exploratory analysis to model development, validation, and production support.

This role is on-site.

Responsibilities

• Apply statistical and classical machine learning methods, including regression, classification, tree-based models, ensembles, and time-series, to solve business problems.
• Design, develop, and evaluate predictive and analytical models using rigorous statistical and ML techniques.
• Perform feature engineering, model selection, tuning, and performance evaluation, clearly documenting assumptions and tradeoffs.
• Build advanced machine learning and deep learning models using PyTorch and/or TensorFlow, supporting production-quality implementation.

Required Skills

• 11-13 years of experience in analytics, AI/digital product development, or data-driven platform roles.
• End-to-end ML lifecycle ownership, including development, validation, deployment, and monitoring.
• Advanced proficiency in Python and SQL for analytics and model development.
• Hands-on machine learning and deep learning experience using scikit-learn, PyTorch, and/or TensorFlow.
• Strong statistical modelling skills with the ability to translate ambiguous business problems into structured analytical approaches.
• Bachelor’s or master’s degree in Statistics, Mathematics, Computer Science, Data Science, or a related quantitative field; PhD preferred.

Preferred Skills

• Agentic AI experience.
• Familiarity with AI experimentation for iterative product development.

Key Skills

Education

Any Graduate