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Data Scientist Associate

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Onsite

Data Scientist Associate

Tata Consultancy Services

Data Scientist Associate

Skills

Google Cloud PlatformDeep LearningPythonData ScienceNumPypandasPyTorchTensorFlowRData AnalysisMachine LearningAIAWSNLP / Natural Language ProcessingAzure

1 month ago

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Important information


Contract type:

Permanent

Work mode:

Onsite

Published on:

23 September 2026

What they need


Greetings from TCS!!

We are seeking a Data Scientist who can independently own the full data science workflow from problem framing and data exploration through modeling, validation, deployment, and monitoring.

Role Name: Data Scientist

Must Have Skills:

  • 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.

Interview mode: Virtual

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

Experience Range: 7-18 years

Qualifications: Graduate

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