Data Science Practitioner

Project Role : Data Science Practitioner
Project Role Description : Formulating, design and deliver AI/ML-based decision-making frameworks and models for business outcomes. Measure and justify AI/ML based solution values.
Must have skills : Data Science
Good to have skills : NA
Minimum 5 year(s) of experience is required
Educational Qualification : 15 years full time education

AI Engineer / Data Scientist – NLP & Generative AI

Experience: 6–7 years
Location: India

Role Summary

Build and productionize NLP and generative AI capabilities — from classical NLP through LLM-based agentic workflows — for real-time, high-scale enterprise applications, with a focus on prompt engineering, RAG, and conversational AI experiences.

Key Responsibilities
Design, fine-tune, and optimize prompts for production LLM features (summarization, classification, sentiment, Q&A, translation, knowledge-gap analysis)
Build agentic workflows (e.g., CrewAI, LangChain, LangGraph, or equivalent) to orchestrate RAG pipelines and multi-step evaluation/validation tasks
Apply classical NLP techniques (clustering, sentiment analysis, NER, topic modeling, text classification) using transformer models alongside LLMs where appropriate
Develop and deploy real-time inference APIs to serve AI features to production applications at scale
Integrate speech-to-text and text-to-speech capabilities for conversational/simulation use cases
Build monitoring/analytics pipelines for productivity and quality metrics derived from AI outputs
Iterate on model performance through hyperparameter tuning, feedback loops, and evaluation against production data
Work across open-source and hosted LLMs, selecting the right model/deployment for cost, latency, and accuracy needs
Partner with data engineering on ingestion/synchronization pipelines across relational and vector data stores
Present KPI metrics, model performance, and insights to business stakeholders via dashboards

Required Skills & Experience

6+ years in NLP / data science / AI engineering with production deployment experience
Strong Python experience serving ML/AI models via production APIs
NLP fundamentals: text classification, NER, clustering, topic modeling, summarization, sentiment analysis
Transformer model experience: BERT/RoBERTa/T5/BART or equivalent
LLM and agentic tooling: prompt engineering, RAG, agentic frameworks (e.g., CrewAI, LangChain, LangGraph), and LLM APIs (e.g., GPT, Claude, or open-source models)
Classical ML: supervised/unsupervised algorithms and evaluation methodology
Hands-on depth with Azure AI and compute services — Azure AI Foundry, Azure Function Apps, Azure Logic Apps — or equivalent AWS/GCP AI and serverless stacks
SQL databases plus exposure to a vector store
Preferred
Knowledge graph / graph-based retrieval techniques for RAG (e.g., Neo4j or equivalent)
Production deployment experience across multiple major cloud platforms (AWS, Azure, and GCP) — spanning AI/ML services, managed databases, and serverless compute
Speech-to-text/text-to-speech integration experience for conversational AI use cases
Experience with no-code/low-code platforms (e.g., Microsoft Power Platform, Copilot Studio, or equivalent) for rapid agent/bot prototyping
Dashboarding (Power BI/Tableau)
Exposure to healthcare or other regulated-data domains

Education
Bachelor's/master's in data science, Computer Science, Statistics, or related field
15 years full time education

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 atwww.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, militaryveteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicablelaw. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.