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

Accenture in India; Bengaluru; On-site; INR 1,400,000 - 2,000,000; Full time

Job summary

Accenture in India seeks a Data Science Analyst to lead innovative projects in Generative AI, decision science, and cloud-based analytics.

You will combine hands-on technical work with client delivery, developing end-to-end models and AI workflows while collaborating with cross-functional teams across consumer tech, enterprise tech, and semiconductors.

Qualifications

• Hands-on data science with Python, SQL and ML frameworks.
• Experience building Generative AI solutions and decision science projects.
• Experience with cloud-based analytics on Azure or AWS.

Responsibilities

• 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
• 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).
• 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.

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.