S&C Global Network - AI - Hi Tech - Data Science Sr. Analyst job opportunity at Accenture Plc.

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Accenture Plc S&C Global Network - AI - Hi Tech - Data Science Sr. Analyst
Experience: General
Pattern: full-time
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AI & Data

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degreeBachelor's (B.Sc.)
loacation Gurugram, India
loacation Gurugram....India

Job Title - Decision Science Practitioner Sr. Analyst S&C GN Management Level: Sr. Analyst Location: Bangalore/ Kolkata/Gurugram/Hyderabad Must have skills: Generative AI Good to have skills: Data Science Experience: 4+ years in data science Educational Qualification: B tech, M tech in Computer Science, Statistics, Applied Mathematics, Engineering or related field Job Summary: We are seeking a highly skilled and motivated Data Science Sr. 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 Design and fine-tune GenAI models for NLP, CV, and multimodal use cases, ensuring enterprise scalability. Architect agentic AI solutions with orchestration frameworks (LangChain, LlamaIndex, AutoGen), integrating APIs and enterprise knowledge bases. Optimize agent workflows by defining monitoring, fine-tuning RAG pipelines, and improving context handling and reliability. Build scalable retrieval pipelines using vector databases (Pinecone, FAISS, Weaviate, Milvus) for high-performance enterprise integration. Cloud Platform Expertise Design scalable AI/ML workflows on Azure or AWS for cross-functional domains with cost and performance optimization. Leverage cloud-native MLOps tools (SageMaker, Azure ML) for model training, deployment, monitoring, and governance. Data Science and Engineering Develop advanced predictive models, recommendation engines, and optimization solutions, ensuring business relevance and measurable impact. Engineer robust data pipelines and feature stores to support GenAI and ML models across structured, unstructured, and multimodal datasets.

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