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, you'll analyze data to drive useful insights for clients to address core business issues or to drive strategic outcomes. You'll use visualization, statistical and analytics models, AI/ML techniques, Modelops and other techniques to develop these insights.
Years of Experience: Candidates with 4+ years of hands on experience
Required Skills
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, Kore.ai, OneReach.ai, 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 (incl.Testing), 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.
Good Communication and presentation skills
