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 Familiarity with the contact center architecture domain, conversational design & implementation 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. Nice to Have: Familiarity with realtime streaming technologies, network and data security implications and methods.Understanding of NoSQL databases (e.g., MongoDB, Cassandra) for handling unstructured and semi-structured data. Strong problem-solving and analytical skills to troubleshoot and optimize conversational AI systems. Proficiency in using frameworks like Dialogflow, Rasa, Amazon Lex, IBM Watson, or Microsoft LUIS. Understanding of language models and techniques for improving intent recognition and entity extraction Understanding and experience on 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 clients Expertise in Python or PySpark. and JavaScript framework. Experience with RESTful APIs, webhooks, and integrating chatbots with other systems (CRM, databases, etc.). Understanding of serverless computing for building scalable and efficient conversational systems Excellent communication and collaboration skills to work effectively with cross-functional teams and stakeholders. 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 timeFamiliarity 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. Knowledge of regulatory and compliance requirements related to conversational AI applications Experience in the telecom industry or a similar fieldFamiliarity with customer service operations and CRM systemsCertifications in cloud solution architectures like AWS Solution Architect - Associate , GCP Cloud Engineer etc. Nice To Have Familiarity with realtime streaming technologies, network and data security implications and methods.Understanding of NoSQL databases (e.g., MongoDB, Cassandra) for handling unstructured and semi-structured data. Good Communication and presentation skills
