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S&c Global Network - Ai - Hi Tech - Data Science Analyst @ Sr Hr Recruiter-day

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

Job Description


 About The Role  Job Title - Decision Science Practitioner Analyst S&C GN Management Level:Analyst Location:Bangalore/ Kolkata/ Gurugram/HyderabadMust have skills:Generative AI
Good to have skills:Data ScienceJob
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.
    • Required
    Qualifications
  • Experience:2+ 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
     Qualification 
    Experience:2+ years in data science
    Educational Qualification:B tech,     M tech in Computer Science, Statistics, Applied Mathematics, Engineering or related field

    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): Bengaluru

    + View Contact

    Keyskills:   python natural language processing sql computer vision machine learning algorithms scikit-learn amazon redshift microsoft azure machine learning data engineering tensorflow data science stakeholder management gcp pytorch bigquery aws

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