S&C Global Network - AI - Hi Tech - Data Science Analyst 2

Accenture PLC; Bengaluru; Hybrid; INR 1,400,000 - 2,100,000; Full time

Job summary

Accenture seeks a Data Science Analyst to lead innovative AI-based analytics projects across Consumer Tech, Enterprise Tech and Semiconductors. The role combines hands-on data science with client delivery management to drive Generative AI, decision science and cloud analytics initiatives.

You will develop NLP, CV, and multimodal models, build retrieval pipelines, and implement scalable data workflows on Azure or AWS, using Python, SQL, and leading ML frameworks.

Qualifications

• 2+ years of data engineering/data science experience.
• Bachelor or Master in CS, Statistics, Applied Math or related field.

Responsibilities

• Lead Generative AI initiatives including model development and fine-tuning.
• Build and optimize retrieval pipelines using vector databases.
• Develop scalable data science workflows on cloud platforms (Azure/AWS).
• Collaborate with clients on analytics solutions for marketing, supply chain and sales.

Skills

Python

SQL

HuggingFace

OpenCV

TensorFlow

PyTorch

Education

B.Tech / M.Tech in CS, Statistics, Applied Math

Tools

LangChain

LlamaIndex

HuggingFace Transformers

FAISS

Pinecone

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.

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