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 6+ years of hands on experience
Must Have:
Familiarity with the CCaaS domain, contact center operations, customer experience metrics, and industry-specific challenges
Understanding of conversational ( c hats, emails and c alls) data to train Conversational AI systems
In-depth knowledge of CCaaS platforms like NiceCX , Genesys, Cisco etc , including their architecture, functionalities, and integration capabilities
Familiarity with contact center metrics, such as average handle time (AHT), first call resolution (FCR), and customer satisfaction (CSAT)
Familiarity with sentiment analysis, topic modeling, and text classification techniques
Proficiency in data visualization tools like Tableau, Power BI , Quicksight and others
Understanding of cloud platforms (eg, AWS , Azure, Google Cloud) and their services for scalable data storage, processing, and analytics
NLU Verticals Expertise: ASR g eneration, SSML m odeling, Intent Analytics, c onversational AI t esting, Agent Assist, Proac tive Outreach Orchestration, and Generative AI
Excellent communication skills
Nice to Have:
Strong understanding of data science principles, statistical analysis, and machine learning techniques.
Proficiency in programming languages such as Python/ Pyspark / R / SQL
Experience in p redictive m odeling
Skilled in techniques like regression analysis, time series forecasting, clustering and NLP techniques
Knowledge of distributed computing frameworks like Hadoop and Spark for processing large volumes of data.
Understanding of NoSQL databases (eg, MongoDB, Cassandra) for handling unstructured and semi-structured data.
Job Classification
Industry: Accounting / Auditing Functional Area: Accounting / Auditing Role Category: Data Science & Machine Learning Role: Data Science & Machine Learning - Other Employement Type: Full time
Contact Details:
Company: PwC Service Delivery Location(s): Hyderabad