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

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

Job summary

Accenture in Bengaluru seeks a Data Science Analyst to lead GenAI-driven projects across Consumer Tech, Enterprise Tech, and Semiconductors. You will apply Python, SQL, and ML frameworks to build predictive models and optimization solutions, while ensuring robust client delivery and scalable analytics.

The role emphasizes hands-on technical work, model evaluation, and end-to-end deployment on cloud platforms like Azure or AWS in marketing, supply chain, and sales analytics contexts.

Qualifications

• Experience: 2+ years in data engineering/data science.
• Education: BTech/MTech in CS, Statistics, Applied Mathematics, or related field.

Responsibilities

• Develop fine-tune models for NLP, Computer Vision, and multimodal apps using GenAI frameworks.
• Build retrieval pipelines with vector databases and orchestrate prompts and APIs.
• Implement scalable data science workflows on Azure or AWS and monitor models in production.

Skills

Python

SQL

NLP

Computer Vision

GenAI

Prompt Engineering

Education

B.Tech / M.Tech in CS/Math/Stats

Tools

Hugging Face Transformers

LangChain

LlamaIndex

Pinecone

FAISS

Milvus

Azure ML

SageMaker

TensorFlow

PyTorch

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.

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

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