Data Science Engineer

V2 Solutions; Hyderabad; On-site; INR 1,100,000 - 2,100,000; Full time

Job summary

TCS invites Data Science professionals for a Face-to-Face Interview Drive on 11th July 2026 across multiple cities including Bangalore, Hyderabad, Kolkata and Pune. The role targets experienced candidates able to design, develop and deploy ML models using Python, SQL, and cloud platforms.

Candidates should showcase proficiency in ML algorithms, data preprocessing and model evaluation. Exposure to Deep Learning and NLP/Time Series/Recommendation systems will be valued.

Qualifications

• Strong Python skills with NumPy, Pandas, Scikit-learn.
• Experience building end-to-end ML models (training, validation, deployment).
• Proficiency in SQL and handling large datasets.

Skills

Python

ML algorithms

Statistics & Probability

Data preprocessing

Data analysis

SQL

Model evaluation & tuning

Deep Learning

NLP/Time Series/RecSys

Cloud platforms

Tools

TensorFlow

PyTorch

AWS

Job description

Greetings from TCS Recruitment Team! Face-to-Face Interview for Data Science Professionals For all those Data Science Professionals, we are coming bigger with a Face-to-Face Interview Drive on 11th July 2026 (Saturday) in Bangalore, Kolkata, Pune, and Hyderabad. It is a Face-to-Face Interview Drive planned to attract great talent in Data Science. We believe that your skills and expertise are a great match for the opportunities we have to offer.

Role - Data Science

Experience - 6 to 12 years

Location - Bangalore, Hyderabad, Kolkata, Pune.

• Strong expertise in Python (NumPy,Pandas,Scikit-learn)
• Hands-on experience with ML algorithms (Regression,Classification,Clustering)
• Strong knowledge of Statistics & Probability
• Experience in data preprocessing, feature engineering, and data analysis
• Proven experience building end-to-end ML models (training,validation,deployment)
• Strong proficiency in SQL and working with large datasets
• Experience with model evaluation & tuning techniques
• Exposure to Deep Learning (TensorFlow/PyTorch) for midsenior roles
• Experience in at least one domain: NLP/Time Series/Recommendation Systems
• Basic understanding of ML model deployment (APIs/batch/real-time)
• Familiarity with Cloud platforms (AWS/Azure/GCP)