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S&c Global Network - Ai - Hi Tech - Data Science Sr. Analyst @ Accenture

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Accenture  S&c Global Network - Ai - Hi Tech - Data Science Sr. Analyst

Job Description


 About The Role  Job Title - Decision Science Practitioner Sr. Analyst S&C GN Management Level:Sr. Analyst Location:Bangalore/ Kolkata/ Gurugram/HyderabadMust have skills:Generative AI
Good to have skills:Data ScienceExperience: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.

    •  Qualification 
    Required
    Qualifications
  • Experience:4+ years in data engineering/data science
  • Education:B tech, M tech in Computer Science, Statistics, Applied Mathematics, or related field

    • Technical Skills
  • Programming: Proficiency in Python, SQL, and libraries for NLP and Computer Vision (e.g., Hugging Face, OpenCV).
  • GenAI Expertise: Hands-on experience in model development (selection, fine-tuning), model evaluation and optimization, deployment architecture (design, API/integration design), multi-step reasoning workflows, and autonomous agents
  • Cloud Platforms: Experience with Azure and/or AWS in data science workflows.
  • Data Science Tools: Expertise in machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch).
  • GenAI & LLM Tooling :LangChain, LlamaIndex, Hugging Face Transformers, vector databases (e.g., FAISS, Pinecone)
  • Familiarity with cloud platforms like AWS, Azure, or GCP, especially services like S3, Redshift, BigQuery, or Azure Data Lake.

    • Preferred Skills
  • Experience in decision science projects focused on marketing, supply chain, or sales.
  • Strong analytical and problem-solving skills with a results-oriented mindset.
  • Excellent communication and stakeholder management capabilities.

    • Additional Information:
    - The ideal candidate will possess a strong educational background in quantitative discipline and experience in working with Hi-Tech clients- This position is based at our Bengaluru (preferred), Kolkata and Hyderabad office.About Our Company | Accenture

    Job Classification

    Industry: IT Services & Consulting
    Functional Area / Department: Data Science & Analytics
    Role Category: Data Science & Analytics - Other
    Role: Data Science & Analytics - Other
    Employement Type: Full time

    Contact Details:

    Company: Accenture
    Location(s): Noida, Gurugram

    + View Contact

    Keyskills:   data science sales sql tensorflow model evaluation redshift gcp use cases pytorch bigquery architecture azure s3 python c ai llm machine learning marketing nlp stakeholder management azure ml computer vision aws opencv

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