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 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 Conversational AI domain, conversational design & implementation, customer experience metrics, 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. 

Strong problem-solving and analytical skills to troubleshoot and optimize conversational AI systems. 

Familiarity with NLP/NLG techniques such as parts of speech tagging, lemmatization, canonicalization, Word2vec, sentiment analysis, topic modeling, and text classification. 

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. 

Experience building chatbots using bot frameworks like RASA/ LUIS/ DialogFlow/Lex etc. and building NLU model pipeline using feature extraction, entity extraction, intent classification etc.  

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. R and JavaScript framework. 

Expertise in visualization tools such as Power BI, Tableau, Qlikview, Spotfire etc. 

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 time

Familiarity 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 field 

Familiarity with customer service operations and CRM systems 

Nice to Have:  

Familiarity with data wrangling tools such as Alteryx, Excel and Relational storage (SQL)

ML modeling skills: Experience in various statistical techniques such as Regression, Time Series Forecasting, Classification, XGB, Clustering, Neural Networks, Simulation Modelling, Etc.

Experience in survey analytics, organizational functions such as pricing, sales, marketing, operations, customer insights, etc.

Understanding of NoSQL databases (e.g., MongoDB, Cassandra) for handling unstructured and semi-structured data.  

Good Communication and presentation skills

Education (if blank, degree and/or field of study not specified)

Degrees/Field of Study required:

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Artificial Intelligence, Big Data, C++ Programming Language, Communication, Complex Data Analysis, Creativity, Data-Driven Decision Making (DIDM), Data Engineering, Data Lake, Data Mining, Data Modeling, Data Pipeline, Data Quality, Data Science, Data Science Algorithms, Data Science Troubleshooting, Data Science Workflows, Deep Learning, Embracing Change, Emotional Regulation, Empathy {+ 17 more}

Desired Languages (If blank, desired languages not specified)

Travel Requirements

0%

Available for Work Visa Sponsorship?

No

Government Clearance Required?

No

Job Posting End Date