Data Science - Convo AI Senior Associate at PwC

Line of Service: Advisory

Industry/Sector: Not Applicable

Specialism: Data, Analytics & AI

Management Level: Senior Associate

Job Description & Summary

A career within Data and Analytics services at PwC provides the opportunity to assist organizations in uncovering enterprise insights and driving business results through smarter data analytics. We prioritize enhancing organizational technology capabilities like business intelligence, data management, and data assurance to encourage innovation, growth, and change. By blending mind and machine, we leverage data to navigate risks and help our clients gain a competitive edge.

As part of our Analytics and Insights Consumption team, you will analyze data to generate valuable insights that address core business issues or drive strategic outcomes. You will employ visualization, statistical and analytics models, AI/ML techniques, ModelOps, and other methods to develop these insights.

Job Title

Data Science - Convo AI

Experience

6+ years

Required Skills

• Familiarity with the Conversational AI domain, conversational design & implementation, customer experience metrics, and industry-specific challenges.
• Understanding of conversational data (chats, emails, calls) and its preprocessing to train Conversational AI systems including feature engineering as needed.
• Strong problem-solving and analytical skills to troubleshoot and optimize conversational AI systems.
• Knowledge of NLP/NLG techniques such as parts of speech tagging, lemmatization, canonicalization, Word2vec, sentiment analysis, topic modeling, and text classification.
• Expertise in NLP and NLU Verticals: 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 in building chatbots using frameworks like RASA, LUIS, DialogFlow, Lex, etc., and developing NLU model pipelines for feature extraction, entity extraction, intent classification, etc.
• Understanding cloud platforms (AWS, Azure, Google Cloud, Omilia Cloud Platform, Kore.ai, OneReach.ai, NICE, Salesforce, etc.) for building Conversational AI solutions.
• Proficiency in programming languages such as Python or PySpark, with knowledge of R and JavaScript frameworks.
• Skills in visualization tools like Power BI, Tableau, Qlikview, Spotfire, etc.
• Experience in 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 the ability to deliver high-quality work within deadlines.

Education

Degrees/Field of Study required: None specified

Degrees/Field of Study preferred: None specified

Certifications

Certifications required: None specified

Desired Languages

None specified

Travel Requirements

0%

Work Visa Sponsorship

Available: No

Government Clearance Required

Required: No

Company Name

PwC

Job Posting End Date

Not specified