Job Title - Decision Science Practitioner Analyst S&C GN
Management Level: Analyst
Location: Bangalore/ Kolkata/Gurugram/Hyderabad
Must have skills: Generative AI
Good to have skills: Data Science
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
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Develop fine-tune models for NLP, Computer Vision, and multimodal applications, leveraging GenAI frameworks.
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Build autonomous workflows using prompt engineering, API/tool integration, and orchestration frameworks (LangChain, LlamaIndex, AutoGen)
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Monitor, debug, and fine-tune AI agents to improve context handling, error recovery, and response quality.
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Build retrieval pipelines using vector databases such as Pinecone, FAISS, Weaviate or Milvus
Cloud Platform Expertise
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Implement scalable data science workflows on Azure or AWS for marketing, supply chain, or sales analytics projects.
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Leverage cloud-native tools for model training, deployment, and monitoring (e.g., SageMaker, Azure Machine Learning).
Data Science and Engineering
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Perform advanced analytics using Python, SQL, and machine learning frameworks like TensorFlow or PyTorch.
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Develop predictive models, recommendation systems, and optimization solutions tailored to business needs.
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Manage large-scale datasets, preprocessing pipelines, and feature engineering for diverse data modalities.
Required Qualifications
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Experience: 2+ years in data engineering/data science
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Education: B tech, M tech in Computer Science, Statistics, Applied Mathematics, or related field
Technical Skills
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Programming: Proficiency in Python, SQL, and libraries for NLP and Computer Vision (e.g., Hugging Face, OpenCV).
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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
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Cloud Platforms: Experience with Azure and/or AWS in data science workflows.
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Data Science Tools: Expertise in machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch).
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GenAI & LLM Tooling : LangChain, LlamaIndex, Hugging Face Transformers, vector databases (e.g., FAISS, Pinecone)
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Familiarity with cloud platforms like AWS, Azure, or GCP, especially services like S3, Redshift, BigQuery, or Azure Data Lake.
Preferred Skills
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Experience in decision science projects focused on marketing, supply chain, or sales.
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Strong analytical and problem-solving skills with a results-oriented mindset.
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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
Experience: 2+ years in data science
Educational Qualification: B tech, M tech in Computer Science, Statistics, Applied Mathematics, Engineering or related field