Job
Description
About The Role
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
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.
Required
Qualifications
Experience:3+ 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:3+ years in data science
Educational Qualification:B tech, M tech in Computer Science, Statistics, Applied Mathematics, Engineering or related field