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Senior Data Scientist

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Onsite

Senior Data Scientist

Tata Consultancy Services

Senior Data Scientist

Skills

Google Cloud PlatformDeep LearningPythonData ScienceNumPypandasPyTorchTensorFlowRData AnalysisMachine LearningAIAWSNLP / Natural Language ProcessingAzure

2 months ago

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Important information


Contract type:

Permanent

Location:

Bengaluru, Karnataka, India

Work mode:

Onsite

Published on:

11 August 2026

What they need


About the Unit:

TCS AI is driving the vision of becoming the worlds largest AI-led technology services company, helping enterprises transform across the entire AI stackfrom infrastructure to intelligence. With an action-oriented approach that goes beyond experimentation, TCS combines enterprise-grade AI platforms, model engineering, and human-centred design to deliver measurable business impact. At the heart of this transformation is data, enabling organisations to modernise their data ecosystems and infuse AI across customer value chains. For TCS, AI is not just a technology It is the foundation of the next economy.

Role: Data Scientist

Responsibilities:

  • Advanced degree in mathematics, statistics, computer science, or related field.
  • Strong knowledge of statistical analysis, machine learning, and deep learning.
  • Developing advanced algorithms and models to extract valuable insights from complex datasets, with a focus on generative AI and large language models (LLMs).
  • Conducting thorough exploratory data analysis (EDA) to uncover patterns, anomalies, and correlations in the data for NLP/Time series/Vision capability streams.
  • Fine-tuning pre-trained models to optimize their performance for specific tasks and domains.
  • Collaborating with cross-functional teams to define project objectives and deliverables and integrating AI models into production environments.
  • Applying statistical techniques, machine learning algorithms, and deep learning architectures to solve complex business problems and generate accurate predictions.
  • Utilizing cloud-based AI services (e.g., AWS, Azure, GCP) to build scalable and efficient AI solutions.
  • Implementing MLOps practices for model deployment, monitoring, and management.
  • Proficiency in Python or R, along with relevant libraries (e.g., pandas, NumPy, scikit-learn, TensorFlow, PyTorch).
  • Staying updated with the latest advancements in data science, generative AI, and cloud AI services.
  • Experience in developing and deploying AI/Gen AI based systems in production.
  • Mentoring junior data scientists and providing technical guidance.

Location: PAN India**,** preferably Pune, Chennai, Bangalore, Hyderabad, Kolkata, NCR, Mumbai

Experience Range: 10-17 years

Mode of Interview: Virtual

Qualification: Graduate

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