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

8114 ASOL - Pune 3 SEZ Company; Bengaluru; On-site; INR 1,400,000 - 2,100,000; Full time

Job summary

Accenture Bengaluru is seeking a Data Science Sr. Analyst to lead GenAI and analytics projects across Consumer Tech, Enterprise Tech, and Semiconductors. You will drive model development, orchestration, and cloud-based analytics while coordinating client delivery and stakeholder expectations.

The role emphasizes hands-on modeling, scalable pipelines, and responsible governance within a global delivery framework, based in Bengaluru with opportunities for collaboration across India offices.

Qualifications

• Proficiency in Python, NLP/Computer Vision libraries, and model deployment
• Experience with GenAI model development, evaluation, and optimization
• Strong understanding of NLP, CV, and multimodal workloads

Responsibilities

• Design and fine-tune GenAI models for enterprise use cases
• Architect AI solutions with orchestration frameworks and APIs
• Optimize AI workflows, monitoring, and RAG pipelines
• Build scalable data pipelines and vector DB integrations for enterprise systems
• Develop MLOps pipelines on Azure or AWS for model training and governance
• Create predictive models and recommendation systems with measurable business impact
• Collaborate with stakeholders across domains to deliver client-ready analytics solutions

Skills

Python

SQL

NLP

Computer Vision

Hugging Face

OpenCV

TensorFlow

PyTorch

LangChain

LlamaIndex

APIs

Cloud Platforms

Education

B.Tech / BE in CS/IT

M.Tech in CS/Statistics/Applied Math

Tools

LangChain

LlamaIndex

Hugging Face Transformers

FAISS

Pinecone

Azure

AWS

GCP

Job description

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

• 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.
• 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.
• 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: 4+ 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

About Accenture Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities. Visit us at www.accenture.com

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