Industry/Sector
Not Applicable
Specialism
Data Analytics & AI
Management Level
Manager
Job Description & Summary
A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities including business intelligence data management and data assurance that help our clients drive innovation growth and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data understand and navigate risk and help our clients gain a competitive edge.
As part of our Analytics and Insights Consumption team youll analyze data to drive useful insights for clients to address core business issues or to drive strategic outcomes. Youll use visualization statistical and analytics models AI/ML techniques Modelops and other techniques to develop these insights.
Total Exp: 8 Yrs
Must Have:
- Familiarity with the Conversational AI domain conversational implementation and testing customer experience metrics and industry-specific challenges.
- Expertise in various NLU based testing methodologies including conversational flow end to end testing NLP and API testing functional testing regression testing integration testing performance testing and user experience testing on Conversational AI systems
- Understanding of conversational (chats emails and calls) data to test and train Conversational AI systems
- Understanding the critical factors in Performance Load and Stress Testing for Platform Evaluation and Integration Assessment
- Understanding of cloud platforms (e.g. AWS Azure Google Cloud Omilia Cloud Platform NICE Salesforce etc.) and their services for building and testing Conversational AI solutions for clients
- NLP and NLU Verticals Expertise: Text to Speech (TTS) Speech to Text (STT) SSML modeling Intent Analytics Proactive Outreach Orchestration OmniChannel AI & IVR () Intelligent Agent Assist Contact Center as a Service (CCaaS) Modern Data for Conversational AI and Generative AI
- Familiarity with sentiment analysis topic modeling and text classification techniques
- Experience with test automation tools and frameworks such as Cyara Botium Postman Qmetry Qtest Selenium IBM Watson Assistant Toolkits Cognigy Test Case Builder or similar to streamline and automate the testing process for chatbots.
- Strong problem-solving skills with the ability to identify analyze and troubleshoot issues encountered during testing
- Strong understanding of diverse testing methods across different devices to verify the Conversational AI system
- Proficiency in programming languages such as JavaScript
- Excellent communication skills
Nice to Have:
- Proficiency in programming languages such as Python/Pyspark/R/SQL
- Proficiency in any of the data visualization tools like Tableau Power BI Quicksight and others
- Experience in survey analytics organizational functions such as pricing sales marketing operations customer insights etc.
Roles and Responsibilities:
- Develop evaluate and execute on project test plans test books to include details about unit testing end to end testing and chatbot conversation transcripts under the guidance of project manager
- Analyze chatbot performance metrics and generate insightful reports for client presentations
- Collaborate and address identified issues with development and coach the junior team members
- Devise complex testing scenarios for quality delivery of products
- Identify and address potential vulnerabilities in Conversational AI system ensuring data privacy and protection.
- Ability to test and deploy production ready code.
- Build storylines and make presentations for the client team and/or PwC project leadership team.
- Contribute to the knowledge and firm building activities
Travel Requirements
0%
Job Posting End Date
Required Experience:
Manager