Job description

***Dear Job Seekers,*** ***Greetings from TATA Consultancy Services!!!*** ***Hope you and your family are safe and well.*** **We are conducting face to face Interview for Data Science** **If interested Kindly revert with your updated CV for further process with TCS.** **Walk In Drive Date: 25th** **Jul 2026 (Saturday), Hyderabad.** **Registration Time: 9.00 AM 1.00 PM** **Venue- Tata Consultancy Services Ltd, Synergy Park Non-Sez,RSW-Z01- Non Sez (2nd floor), RAPTI - CMC Campus, Premises 2-1/36, Survey Number 26, Gachibowli, Hyderabad - 500032** **Role - Data Scientist** **Experience - 3 to 10 years** **Location - Hyderabad** **Roles and Responsibilities:** * Strong proficiency in **Python** , with hands-on experience using libraries such as **NumPy, Pandas, and Scikit-learn**. * Solid understanding and practical application of **Machine Learning algorithms** , including **Regression, Classification, and Clustering** techniques. * Strong foundation in **Statistics, Probability, and Data Analysis**. * Experience in **data preprocessing, feature engineering, data cleaning, and exploratory data analysis (EDA)**. * Proven expertise in developing **end-to-end Machine Learning solutions**, from data preparation and model training to validation, deployment, and monitoring. * Advanced knowledge of **SQL** and experience handling **large-scale datasets**. * Hands-on experience with **model evaluation, hyperparameter tuning, and performance optimization**. * Exposure to **Deep Learning frameworks** such as **TensorFlow or Py-Torch** (preferred for mid-to-senior level roles). * Practical experience in at least one specialized domain, including: * **Natural Language Processing (NLP)** * **Time Series Forecasting** * **Recommendation Systems** * Understanding of **ML model deployment strategies**, including API-based, batch, and real-time inference solutions. * Familiarity with major **cloud platforms** such as **AWS, Microsoft Azure, or Google Cloud Platform (GCP)**. **Preferred Candidate Profile:** * Strong analytical and problem-solving skills. * Ability to translate business requirements into scalable machine learning solutions. * Experience working in Agile environments and collaborating with cross-functional teams. * Excellent communication and stakeholder management skills.