We are looking for an experienced senior associate with a strong analytical and a Conversational AI background (and overall professional experience of 4+ years) to work in our Digital Contact Solutions team within the Analytics Consulting practice. 

Senior Associate’s will work as an integral part of business analytics teams in India alongside clients and consultants in the U.S., leading teams for high-end analytics consulting engagements and providing business recommendations to project teams.   

Education: Advanced Degree in a quantitative discipline such as Computer Science, Engineering, Econometrics, Statistics or Information Sciences such as business analytics or informatics    

Required Skills: 

• 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 of cloud platforms (e.g., 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 skills. 

• Familiarity with Agile development methodologies and version control systems. 

• Ability to stay updated with the latest advancements and trends in conversational AI technologies. 

• Strong attention to detail and ability to deliver high-quality work within deadlines. 

Nice to Have:   

• Familiarity with data wrangling tools such as Alteryx, Excel and Relational storage (SQL) 

• ML modeling skills: Experience in various statistical techniques such as Regression, Time Series Forecasting, Classification, XGB, Clustering, Neural Networks, Simulation Modelling, Etc. 

• Experience in survey analytics, organizational functions such as pricing, sales, marketing, operations, customer insights, etc. 

• Understanding of NoSQL databases (e.g., MongoDB, Cassandra) for handling unstructured and semi-structured data.   

Roles and Responsibilities: As an SA, you will be involved in the end-to-end project cycle starting from developing proposals to delivering the final product. Other than supporting the elite PwC leadership, you will also be leading various client conversations that will help you build a suitable product. Some of the specific responsibilities include are to:  

• Develop and execute project & analysis plans under the guidance of project manager.  

• Translate business needs into data science solutions and actionable insights. 

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