Experience:6-15years

Job Location-Pan India(Metro Cities)

• Experience in data science or advanced analytics roles, developing and deploying machine learning or statistical models in an enterprise setting.

• Strong foundation in machine learning algorithms and statistical techniques (regression, classification, clustering, time-series forecasting, etc.), with ability to select appropriate methods for different problem types and interpret model outputs.

• Proficiency in programming with Python (preferred) or R for data analysis and model development, including use of relevant libraries and frameworks (e.g., pandas, NumPy, scikit-learn, TensorFlow/PyTorch).

• Experience in data manipulation and analysis, including cleaning large datasets, performing exploratory data analysis, and feature engineering to prepare data for modeling.

• Familiarity with data visualization tools and techniques (e.g., Matplotlib, Seaborn, Tableau) to effectively communicate insights and tell a story with data.





• Hands-on experience using ML model development tools or cloud-based ML platforms (such as AWS SageMaker, Azure ML Studio, or Google AI Platform) is a plus.

• Excellent problem-solving and analytical thinking skills, with the ability to work cross-functionally and communicate complex analytical concepts to non-technical stakeholders. Experience working in agile, collaborative teams to deliver data science projects on time.

• Excellent analytical skills and attention to detail, with the ability to troubleshoot data issues, ensure data quality, and document data processes. Effective communication skills to work with cross-functional teams in a fast-paced environment.

Key Responsibilities*
• Problem Definition & Data Collection: Engage with business stakeholders to understand analytical objectives and define data-driven problems. Identify and gather relevant internal and external data sources needed for analysis.

• Data Analysis & Feature Engineering: Conduct thorough explo

📌 Data Scientist (Hyderabad)
🏢 Tata Consultancy Services
📍 Hyderabad