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

Accenture; Bengaluru; On-site; INR 900,000 - 1,500,000; Full time

Job summary

Accenture is seeking a Data Science Analyst to lead innovative projects in Generative AI, cloud analytics, and data engineering. The role combines hands-on technical work with client-delivery management in consumer tech, enterprise tech, and semiconductors.

You will develop and fine-tune models, build retrieval pipelines, and implement scalable data workflows on Azure/AWS, using Python, SQL and ML frameworks. Bengaluru-based with Hi-Tech client exposure.

Qualifications

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

Responsibilities

• Develop fine-tune models for NLP, Computer Vision, and multimodal applications.
• Build autonomous workflows using prompt engineering, API/tool integration, and orchestration frameworks.
• Monitor, debug, and fine-tune AI agents for improved context handling 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 analytics projects.
• Perform analytics using Python, SQL, and ML frameworks like TensorFlow or PyTorch.
• Develop predictive models, recommendation systems, and optimization solutions.
• Manage large-scale datasets, preprocessing pipelines, and feature engineering.

Skills

Python

SQL

NLP libraries

Computer Vision libs

Education

BTech / MTech in CS/Stats/Math

Tools

Hugging Face

OpenCV

SageMaker

Azure ML

AWS

LangChain

LlamaIndex

Hugging Face Transformers

FAISS

Pinecone

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

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

Equal Employment Opportunity Statement

We believe that no one should be discriminated against because of their differences.All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law.Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.