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S&C Global Network - AI - Hi Tech - Data Science Analyst 3

Exclusive opportunity

Onsite

S&C Global Network - AI - Hi Tech - Data Science Analyst 3

Accenture in India

S&C Global Network - AI - Hi Tech - Data Science Analyst 3

Skills

SQL QueriesPythonData SciencePyTorchTensorFlowData AnalysisMachine LearningAIAWSNLP / Natural Language ProcessingSupply ChainAzure

1 month ago

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Important information


Contract type:

Permanent

Location:

Bengaluru, Karnataka, India

Work mode:

Onsite

Published on:

25 September 2026

What they need


Job Summary: We are seeking a highly skilled and motivated Data Science Analyst to lead innovative projects and drive impactful solutions in domains such as Consumer Tech , Enterprise Tech , and Semiconductors . This role combines hands-on technical expertise , and client delivery management to execute cutting-edge projects in Generative AI, decision science, and cloud-based analytics.

Key Responsibilities Generative AI Expertise

  • Develop fine-tune models for NLP, Computer Vision, and multimodal applications, leveraging GenAI frameworks.
  • Build autonomous workflows using prompt engineering, API/tool integration, and orchestration frameworks (LangChain, LlamaIndex, AutoGen)
  • Monitor, debug, and fine-tune AI agents to improve context handling, error recovery, and response quality.
  • Build retrieval pipelines using vector databases such as Pinecone, FAISS, Weaviate or Milvus

Cloud Platform Expertise

  • Implement scalable data science workflows on Azure or AWS for marketing, supply chain, or sales analytics projects.
  • Leverage cloud-native tools for model training, deployment, and monitoring (e.g., SageMaker, Azure Machine Learning).

Data Science and Engineering

  • Perform advanced analytics using Python, SQL, and machine learning frameworks like TensorFlow or PyTorch.
  • Develop predictive models, recommendation systems, and optimization solutions tailored to business needs.
  • Manage large-scale datasets, preprocessing pipelines, and feature engineering for diverse data modalities.

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