Data Scientist :
Modeling: gradient boosting (XGBoost/LightGBM), GLMs, time series or NLP (depending on your roadmap) Experimentation: A/B testing, causal inference basics, uplift modeling (where relevant) Feature engineering: robust feature pipelines, leakage prevention, validation discipline Responsible AI / model governance awareness: explainability, bias checks, documentation Python Datascience stack: pandas, scikit-learn, MLflow (or similar), model evaluation rigor Ability to work with partners: translating business problems into ML framing.

Keyskills: Artificial Intelligence Al Machine Learning
Wipro Ltd (NYSE:WIT) is a global information technology, consulting and outsourcing company with 170,000+ workforce serving clients in 175+ cities across 6 continents. \r\n\r\nWipro helps customers do business better by leveraging our industry-wide experience, deep technology expertise, comprehensiv...