AI/ML Computational Science Analyst

Skill required: Data Scientist - Data Science
Designation: AI/ML Computational Science Analyst
Qualifications:Any Graduation,MCA,Any Graduation
Years of Experience:3-5 Years
About Accenture
Accenture is a global professional services company with leading capabilities in digital, cloud and security.Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song— all powered by the world’s largest network of Advanced Technology and Intelligent Operations centers. Our 784,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities.Visit us at www.accenture.com
What would you do? Accenture is a global professional services company with leading capabilities in digital, cloud and security. Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song— all powered by the world’s largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities. Visit us at www.accenture.com.A Data Scientist is a professional who analyzes and interprets complex data to help organizations make informed decisions. They use statistical methods, algorithms, and machine learning to extract insights, identify trends, and solve problems. Their work involves data collection, cleaning, modeling, and visualization.We are seeking a highly skilled and experienced Senior Data Scientist with deep expertise in Conversation Analytics to join our Data & AI team. In this role, you will be responsible for designing and deploying advanced AI/ML models and GenAI applications to analyze customer-agent interactions, drive actionable insights, and enhance both customer experience and operational efficiency.The ideal candidate will have a strong background in machine learning, natural language processing (NLP), large language models (LLMs), and a solid understanding of contact center operations, agent performance metrics, and customer journey analytics.
What are we looking for? • Bachelor’s/master’s degree in computer science, Data Science, AI/ML, Statistics, or related fields• 5+ years of experience in Data Science, with at least 2–3 years in Conversation Analytics or NLP-focused roles• Proven track record in building and deploying AI/ML models in production environments• Hands-on experience with GenAI / LLM APIs (OpenAI, Anthropic, Google PaLM, Azure OpenAI, etc.)• Proficient in Python, SQL, and ML libraries (Scikit-learn, XGBoost, TensorFlow, PyTorch, Hugging Face Transformers)• Strong in NLP techniques: NER, sentiment analysis, embeddings, summarization, classification, etc• Experience with Vector DBs, LangChain, RAG, and prompt engineering• Experience in working with speech data, Speech to Text models (e.g., Whisper, AWS Transcribe), and conversational datasets• Strong understanding of evaluation metrics and model governance in enterprise AI applications• Strong analytical thinking and problem-solving abilities• Excellent communication and storytelling skills – able to translate analytics into actionable business recommendations• Collaborative mindset with ability to work in cross-functional global teams• Self-starter with curiosity for innovation and experimentation• Experience in customer support, contact center analytics, agent coaching, or customer experience analytics is a strong plus• Familiar with tools like Databricks, Azure ML, MLflow, or similar• Exposure to agent assist tools, QA automation, or AI-enabled contact center platforms (e.g., NICE, Five9, Genesys, Observe.AI)• Experience in building GenAI co-pilots or chatbots• Understanding of data privacy, PII handling, and ethical AI principles
Roles and Responsibilities: • Design, develop, and deploy AI/ML and NLP models to analyze voice, chat, and email conversations• Leverage GenAI and LLMs (e.g., GPT, Claude, Mistral) for tasks such as summarization, sentiment analysis, intent detection, response generation, and QA automation• Develop models and dashboards to track agent performance, quality, and productivity using structured and unstructured data• Conduct root cause analysis for customer dissatisfaction, churn signals, or escalation drivers through deep conversation analytics• Translate business requirements into analytical solutions and partner with cross-functional teams including Ops, CX, Quality, and Product• Work on speech-to-text processing, topic modeling, emotion analysis, and AI-powered coaching insights• Build and maintain robust, scalable pipelines for data ingestion, feature engineering, model training, and deployment• Stay abreast of the latest advancements in GenAI and conversational AI and evaluate their applicability• Drive innovation through POCs and model experimentation in the conversational analytics space• Mentor junior data scientists and contribute to team knowledge and skill development