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A career in our Advisory Acceleration Centre is the natural extension of PwC s leading class global delivery capabilities. We provide premium, cost effective, high quality services that support process quality and delivery capability in support for client engagements.

• Familiarity with the Conversational AI domain, conversational design & implementation, customer experience metrics, and industry-specific challenges
• Understanding of conversational (chats, emails and calls) data and its preprocessing (including feature engineering if required) to train Conversational AI systems.
• Strong problem-solving and analytical skills to troubleshoot and optimize conversational AI systems.
• Familiarity with NLP/NLG techniques such as parts of speech tagging, lemmatization, canonicalization, Word2vec, sentiment analysis, topic modeling, and text classification.
• NLP and NLU Verticals Expertise: Text to Speech (TTS), Speech to Text (STT), SSML modeling, Intent Analytics, Proactive Outreach Orchestration, OmniChannel AI & IVR (incl. Testing), Intelligent Agent Assist, Contact Center as a Service (CCaaS), Modern Data for Conversational AI and Generative AI.
• Experience building chatbots using bot frameworks like RASA/ LUIS/ DialogFlow/Lex etc and building NLU model pipeline using feature extraction, entity extraction, intent classification etc
• Understanding and experience on cloud platforms (eg, AWS, Azure, Google Cloud, Omilia Cloud Platform, Kore.ai, OneReach.ai, NICE, Salesforce, etc) and their services for building Conversational AI solutions for cliients
• Expertise in Python or PySpark. R and JavaScript framework.
• Expertise in visualization tools such as Power BI, Tableau, Qlikview, Spotfire etc
• Experience with evaluating and improving conversational AI system performance through metrics and user feedback
• Excellent communication and collaboration skills to work effectively with cross-functional teams and stakeholders.
• Proven track record of successfully delivering conversational AI projects on time and within budget.
• Familiarity with Agile development methodologies and version control systems.
• Ability to stay updated with the latest advancements and trends in conversational AI technologies.
• Strong strategic thinking and ability to align conversational AI initiatives with business goals.
• Excellent project management skills to prioritize tasks, manage resources, and ensure project success.
• Knowledge of regulatory and compliance requirements related to conversational AI applications.