Job
Description
At PwC, our focus in data and analytics is on leveraging data to drive insights and make informed business decisions. We utilize advanced analytics techniques to help clients optimize their operations and achieve strategic goals. In the field of data analysis at PwC, you will be tasked with utilizing advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. Your role will involve leveraging skills in data manipulation, visualization, and statistical modeling to support clients in solving complex business problems. Driven by curiosity, you are expected to be a reliable and contributing member of a team. In our fast-paced environment, you must be adaptable to working with a variety of clients and team members, each presenting varying challenges and scope. Every experience is viewed as an opportunity for learning and growth. You are expected to take ownership and consistently deliver quality work that drives value for our clients and contributes to the success of the team. As you progress within the Firm, you will build a brand for yourself, opening doors to more opportunities. Examples of the skills, knowledge, and experiences required to lead and deliver value at this level include but are not limited to: - Applying a learning mindset and taking ownership for your own development. - Appreciating diverse perspectives, needs, and feelings of others. - Adopting habits to sustain high performance and develop your potential. - Actively listening, asking questions to check understanding, and clearly expressing ideas. - Seeking, reflecting, acting on, and giving feedback. - Gathering information from a range of sources to analyze facts and discern patterns. - Committing to understanding how the business works and building commercial awareness. - Learning and applying professional and technical standards, upholding the Firm's code of conduct and independence requirements. Position: Senior Associate Domain: Data Science Conversational AI About Acceleration Center Mumbai/Bangalore: PwC connects people with diverse backgrounds and skill sets to solve important problems together and lead with purpose for clients, communities, and the world at large. Acceleration Centers (ACs) are diverse, global talent hubs focused on enabling growth for the organization and value creation for clients. The PwC Advisory Acceleration Center in Bangalore is part of our Advisory business in the US, focusing 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 a passion for excellence with a focus on diversity and inclusion. Collaboration and support from a network of people are provided to help achieve goals, along with global leadership development frameworks and the latest digital technologies to facilitate learning and career advancement. The firm's philosophy revolves around caring for its people, making PwC one of the most attractive employers globally according to Universum. Commitment to Responsible Business Leadership, Diversity & Inclusion, work-life flexibility, career coaching, and learning & development contribute to making PwC one of the best places to work, learn, and excel. We are seeking an experienced senior associate with a strong analytical and Conversational AI background (minimum 4 years of overall professional experience) to join our Digital Contact Solutions team within the Analytics Consulting practice. Senior Associates will work as integral parts of business analytics teams in India, collaborating with 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 like business analytics or informatics. Required Skills include: - 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 for training Conversational AI systems. - Strong problem-solving and analytical skills for troubleshooting and optimizing conversational AI systems. - Familiarity with NLP/NLG techniques such as parts of speech tagging, lemmatization, canonicalization, Word2vec, sentiment analysis, topic modeling, and text classification. - Expertise in NLP and NLU verticals, including Text to Speech (TTS), Speech to Text (STT), SSML modeling, Intent Analytics, Proactive Outreach Orchestration, OmniChannel AI & IVR, Intelligent Agent Assist, Contact Center as a Service (CCaaS), Modern Data for Conversational AI, and Generative AI. - Experience building chatbots using frameworks like RASA, LUIS, DialogFlow, Lex, etc., and building NLU model pipelines using feature extraction, entity extraction, intent classification, etc. - Understanding and experience with cloud platforms and their services for building Conversational AI solutions for clients. - Expertise in Python, PySpark, R, JavaScript frameworks, and visualization tools like Power BI, Tableau, Qlikview, Spotfire. - Experience in 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 skills: - Familiarity with data wrangling tools such as Alteryx, Excel, and Relational storage. - ML modeling skills: Experience in statistical techniques like 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 for handling unstructured and semi-structured data. Roles and Responsibilities: As an Associate, you will be involved in the end-to-end project cycle, developing proposals to delivering the final product. You will support PwC leadership and lead client conversations to build suitable products. Specific responsibilities include: - Developing and executing project & analysis plans under the guidance of the project manager. - Translating business needs into data science solutions and actionable insights. - Handling client interactions regarding business problems. - Driving and conducting analysis using advanced analytics tools, coaching junior team members. - Writing and deploying production-ready code. - Building storylines and making presentations for client teams and PwC project leadership teams. - Contributing to knowledge and firm-building activities. What We Offer: - Policies around Work-from-Home and flexible working hours. - Mid-year appraisal cycle to reward performance on time. - Opportunities to solve impactful problems for clients. - Continuous learning and upskilling opportunities. - Access to Massive Online Open Courses (MOOC) at no cost. - World-class leadership guidance. - Diverse peer group support. - Interaction with senior client leadership, potential client visits, and permanent relocations as needed.,
