S&C Global Network - AI - Hi Tech - Data Science Analyst 3

Accenture in India; Bengaluru; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Accenture in India seeks a Data Science Analyst to lead innovative projects across Consumer Tech, Enterprise Tech, and Semiconductors. The role blends hands-on analytics with client delivery management to build GenAI, decision science, and cloud-based analytics solutions.

You will develop NLP/vision/multimodal models, implement retrieval pipelines with vector stores, and deploy scalable workflows on cloud platforms such as Azure or AWS, using Python, SQL, TensorFlow or PyTorch.

Qualifications

• Proficiency in Python, SQL, and ML frameworks such as TensorFlow/PyTorch.
• Experience with Generative AI model development and fine-tuning.
• Ability to build data science solutions for cloud-based analytics.

Responsibilities

• Lead projects in Generative AI, decision science, and analytics.
• Develop fine-tune models for NLP, CV, and multimodal tasks.
• Build retrieval pipelines with vector databases such as Pinecone/FAISS/Weaviate.
• Manage client delivery and project outcomes.

Skills

Python

SQL

Machine learning

Generative AI

Tools

LangChain

LlamaIndex

AutoGen

Pinecone

FAISS

Weaviate

Job description

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

• 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.