Data Science Engineer (TCS Pan India)

The Data Science Engineer will build end-to-end ML models including training, validation, and deployment with expertise in Python, NumPy, Pandas, and Scikit-learn. The engineer will perform data preprocessing, feature engineering, and data analysis, apply ML algorithms including Regression, Classification, and Clustering, and work with large datasets using SQL. Experience in at least one domain such as NLP, Time Series, or Recommendation Systems is required along with understanding of ML model deployment and familiarity with cloud platforms. The role provides exposure to enterprise-scale data ecosystems, offering opportunities for professional growth while working alongside experienced data scientists and cross-functional technology teams. This position also offers exposure to enterprise-wide analytics transformation programs and the chance to influence strategic decision-making at a senior level.

6-12 years of Data Science experience with strong Python, ML algorithms, Statistics, and SQL expertise. Experience in building end-to-end ML models. Exposure to Deep Learning with TensorFlow/PyTorch. Domain expertise in NLP/Time Series/Recommendation Systems. Any Graduate qualification. Excellent verbal and written communication skills are essential, along with the ability to explain complex technical concepts clearly to both technical and non-technical stakeholders. Candidates should demonstrate strong analytical thinking, attention to detail, and the ability to manage multiple priorities in a fast-paced, deadline-driven environment.