Conversational AI Data Scientist - Senior Manager

Key Skills

Alteryx, Amazon Lex, AWS, Azure, BERT, Data Engineering, Data Modeling, Framework, Java Programming, Leadership, Natural Language Processing (NLP), Natural Language Toolkit - NLTK, NoSQL, Pandas, PowerBI, Python Programming, R Programming, SQL, Tableau

Job Description

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.

To really stand out and make us fit for the future in a constantly changing world, each and every one of us at PwC needs to be a purpose-led and values-driven leader at every level. To help us achieve this we have the PwC Professional; our global leadership development framework. It gives us a single set of expectations across our lines, geographies and career paths, and provides transparency on the skills we need as individuals to be successful and progress in our careers, now and in the future.

As a Senior Manager, you'll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. PwC Professional skills and responsibilities for this management level include but are not limited to:

• Encourage everyone to have a voice and invite opinion from all, including quieter members of the team.
• Deal effectively with ambiguous and unstructured problems and situations.
• Initiate open and candid coaching conversations at all levels.
• Move easily between big picture thinking and managing relevant detail.
• Anticipate stakeholder needs, and develop and discuss potential solutions, even before the stakeholder realises they are required.
• Contribute technical knowledge in area of specialism.
• Contribute to an environment where people and technology thrive together to accomplish more than they could apart.
• Navigate the complexities of cross-border and/or diverse teams and engagements.
• Initiate and lead open conversations with teams, clients and stakeholders to build trust.
• Uphold the firm's code of ethics and business conduct.

Basic Qualifications:

• Minimum Degree Required: Bachelor Degree
• Minimum Years of Experience: 9 year(s)
• Preferred Qualifications: Preferred Knowledge/Skills:

Demonstrates thought leader-level abilities with, and/or a proven record of success directing efforts in the majority of the following areas:

• Analyzing Conversational (Chats, Emails and Calls) data, and the use of this data to build Natural Language (NLP) modeling pipelines for intent classification, training & deploying chatbots etc.;
• Leveraging NLP/NLG techniques such as parts of speech tagging, lemmatization, canonicalization, Word2vec, BERT and other NLP Models; 
• Collaborating with client team to understand their business problem and select the appropriate models for Conversational AI use cases;
• Building machine learning models and systems, interpret their output, and communicate their results to internal/client teams and how those outcomes realize business value;
• Designing and storyboarding Conversational AI use-cases;
• Directing data engineers and other data scientists to deliver efficient algorithms to meet client requirements;
• Leading and contributing to development of proof of concepts and/or pilots for clients while working in cross-functional teams;
• Managing daily operations of a global data and analytics team on client engagements, review developed models, provide feedback and assist in analysis;
• Structuring, writing, communicating, and facilitating client presentations; and,
• Directing associates/senior associates through coaching, providing feedback, and guiding work performance.

Demonstrates thought- leader abilities and/or a proven record of success learning and performing in functional and technical capacities, including the following areas:

• Using Python (e.g., Pandas, NLTK, etc.), Relational storage (SQL), Non-relational storage (NoSQL), RASA bot framework, LUIS, Azure; and,
• Understanding or hands on experience with Lex, Dialog Flow, AWS and Google Cloud, R, Power BI, Tableau, Alteryx.