Senior Data Scientist - ML, Python (IN)

We are seeking a hands-on Data Scientist who can operate across data engineering and machine learning to deliver production-ready analytics/AI solutions. This role includes building data pipelines and curated datasets, developing and evaluating ML models, and supporting model operationalization with MLOps practices across the ML lifecycle (from data discovery through deployment and monitoring).

Partner with business and technical stakeholders to translate problems into data-driven and ML solutions, communicating insights and model outcomes clearly

Perform exploratory data analysis, feature engineering, and build predictive/advanced analytics models using Python-based DS libraries.

Design, build, and maintain data pipelines and datasets to support analytics and model training (batch/near-real-time as needed).

Apply MLOps discipline across the ML lifecycle: data validation, packaging, deployment support, and performance monitoring concepts.

Collaborate in Agile delivery (sprint goals, user stories, iteration based on feedback).

Strong hands-on Python for data analysis and ML model development.

Experience with data engineering fundamentals: data integration, data processing, and pipeline/orchestration concepts.

Solid grounding in ML lifecycle / MLOps concepts (validation, versioning, deployment, monitoring).

Ability to assess data sources for quality, relevance, and usability; translate business rules into analytics logic.