Line of Service
Advisory
Industry/Sector
Not Applicable
Specialism
Data, Analytics & AI
Management Level
Associate
Job Description & Summary
At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals.
In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems.
Driven by curiosity, you are a reliable, contributing member of a team. In our fast-paced environment, you are expected to adapt to working with a variety of clients and team members, each presenting varying challenges and scope. Every experience is an opportunity to learn and grow. You are expected to take ownership and consistently deliver quality work that drives value for our clients and success as a team. As you navigate through the Firm, you build a brand for yourself, opening doors to more opportunities.
Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:
- Apply a learning mindset and take ownership for your own development.
- Appreciate diverse perspectives, needs, and feelings of others.
- Adopt habits to sustain high performance and develop your potential.
- Actively listen, ask questions to check understanding, and clearly express ideas.
- Seek, reflect, act on, and give feedback.
- Gather information from a range of sources to analyse facts and discern patterns.
- Commit to understanding how the business works and building commercial awareness.
- Learn and apply professional and technical standards (e.g. refer to specific PwC tax and audit guidance), uphold the Firm's code of conduct and independence requirements.
Position: Senior Associate
Industry: Digital Contact Solutions (DCS), Telecommunications-Media-Technology (TMT), Health Industries (Payers, Providers, Life Sciences), CPG/Retail, Financial Services, Industrial Products and Services (IPS), Deals
Domain: Data Science – Conversational AI
About Acceleration Center Mumbai/Bangalore
At PwC, we connect people with diverse backgrounds and skill sets to solve important problems together and lead with purpose—for our clients, our communities and for the world at large. It is no surprise therefore that 429 of 500 Fortune global companies engage with PwC. Acceleration Centers (ACs) are PwC’s diverse, global talent hubs focused on enabling growth for the organization and value creation for our clients. The PwC Advisory Acceleration Center in Bangalore is part of our Advisory business in the US. The team is focused on developing a broader portfolio with solutions for Risk Consulting, Management Consulting, Technology Consulting, Strategy Consulting, Forensics and vertical specific solutions. PwC's high-performance culture is based on passion for excellence with a focus on diversity and inclusion. You will collaborate with and receive support from a network of people to achieve your goals. We will also provide you with global leadership development frameworks and the latest in digital technologies to learn and excel in your career. At the core of our firm's philosophy is a simple construct: We care for our people. Globally PwC is ranked the 3rd most attractive employer according to Universum. Our commitment to Responsible Business Leadership, Diversity & Inclusion, work-life flexibility, career coaching and learning & development makes our firm one of the best places to work, learn and excel
We are looking for an experienced senior associate with a strong analytical and a Conversational AI background (and overall professional experience of 4+ years) to work in our Digital Contact Solutions team within the Analytics Consulting practice.
Senior Associate’s will work as an integral part of business analytics teams in India alongside clients and consultants in the U.S., leading teams for high-end analytics consulting engagements and providing business recommendations to project teams.
Education: Advanced Degree in a quantitative discipline such as Computer Science, Engineering, Econometrics, Statistics or Information Sciences such as business analytics or informatics
Familiarity with the Conversational AI domain, conversational design & implementation, customer experience metrics, and industry-specific challenges
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.
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
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.
Roles and Responsibilities: As an SA, you will be involved in the end-to-end project cycle starting from developing proposals to delivering the final product. Other than supporting the elite PwC leadership, you will also be leading various client conversations that will help you build a suitable product. Some of the specific responsibilities include are to:
At PwC, we care for the mental & physical wellbeing of our people and respect the flexibility that is needed in these difficult times. Keeping these factors in mind, we have introduced policies around Work-from-Home. Anywhere and flexible working hours.
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, Algorithm Development, Alteryx (Automation Platform), Analytic Research, Big Data, Business Data Analytics, Communication, Complex Data Analysis, Conducting Research, Customer Analysis, Customer Needs Analysis, Dashboard Creation, Data Analysis, Data Analysis Software, Data Collection, Data-Driven Insights, Data Integration, Data Integrity, Data Mining, Data Modeling, Data Pipeline, Data Preprocessing, Data Quality {+ 33 more}
Desired Languages (If blank, desired languages not specified)
Travel Requirements
Available for Work Visa Sponsorship?
Government Clearance Required?
Job Posting End Date