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 Important Notice We have been alerted to the existence of fraudulent messages asking job seekers to set up payment to cover various costs associated with establishing employment at Accenture. No one is ever required to pay for employment at Accenture. If you are contacted by someone asking for payment, please do not respond, and contact us at india.fc.check@accenture.com immediately. Equal Employment Opportunity Statement All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Please read Accenture’s Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process.