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

8140 ASOL - Gurugram Non STPI Company; Bengaluru; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Accenture is seeking a data science analyst to lead Generative AI-driven projects across consumer tech, enterprise tech, and semiconductors. Responsibilities include building fine‑tuned NLP/vision models, autonomous workflows, and retrieval pipelines using vector databases.

You will deploy scalable DS workflows on Azure/AWS, leveraging SageMaker and AML, with strong Python/SQL and ML framework skills. The role requires 2+ years in data science, a BTech/MTech in CS/statistics/applied maths, and

Qualifications

• Experience: 2+ years in data engineering/data science.
• BTech/B.Tech or MTech in Computer Science, Statistics, Applied Mathematics, or related field.
• Proficiency in Python, SQL, and libraries for NLP and Computer Vision (e.g., Hugging Face, OpenCV).
• GenAI experience: model development, evaluation, optimization, deployment architecture, and autonomous agents.
• Cloud platforms: Azure and/or AWS in data science workflows.
• Data science tools: scikit-learn, TensorFlow, PyTorch.
• GenAI & LLM tooling: LangChain, LlamaIndex, Hugging Face Transformers, vector databases (FAISS, Pinecone).
• Experience with AWS/Azure/GCP services like S3, Redshift, BigQuery, Azure Data Lake.

Responsibilities

• Lead Generative AI projects and drive innovative analytics solutions.
• Develop fine‑tuned NLP/vision/multimodal models.
• Build autonomous workflows via prompt engineering and integrations (LangChain, LlamaIndex).
• Create and optimize retrieval pipelines with vector databases (FAISS, Pinecone, etc.).
• Deploy scalable DS workflows on Azure/AWS for marketing, supply chain, or sales analytics.
• Leverage cloud-native tools for model training, deployment, and monitoring (SageMaker, AML).
• Perform advanced analytics using Python/SQL with TensorFlow/PyTorch.
• Develop predictive models, recommendations, and optimization solutions for business needs.
• Manage preprocessing pipelines and large datasets across modalities.

Skills

Python

SQL

NLP

Computer Vision

GenAI

LangChain

LlamaIndex

Hugging Face Transformers

vector databases

TensorFlow

PyTorch

AWS

Azure

GCP

BigQuery

SageMaker

Education

B.Tech in Computer Science

M.Tech in Computer Science/Statistics/Applied Mathematics

Tools

OpenCV

scikit-learn

SageMaker

Azure Machine Learning

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).
• 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

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.

General Information

Bring your incredible skills and join our global team of innovators. We come together from different backgrounds across the world and work with the latest technologies to create value and growth for our clients. With us, you’ll continue to learn and grow so you can advance in your career. Your personal dreams and ambitions are just as important to us; that’s why we offer support any way we can—when you thrive, we all thrive.

Explore your next step at Accenture Belong. Grow. Thrive. Join a great place to work for reinventors who drive meaningful change for our clients, communities, and the world. World. Explore your next step at Accenture.