AI & GenAI Data Scientist – Senior Manager

PwC•Tampa, FL

About The Position

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. Growing as a strategic advisor, you leverage your influence, expertise, and network to deliver quality results. You motivate and coach others, coming together to solve complex problems. As you increase in autonomy, you apply sound judgment, recognising when to take action and when to escalate. You are expected to solve through complexity, ask thoughtful questions, and clearly communicate how things fit together. Your ability to develop and sustain high performing, diverse, and inclusive teams, and your commitment to excellence, contributes to the success of our Firm. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Craft and convey clear, impactful and engaging messages that tell a holistic story. Apply systems thinking to identify underlying problems and/or opportunities. Validate outcomes with clients, share alternative perspectives, and act on client feedback. Direct the team through complexity, demonstrating composure through ambiguous, challenging and uncertain situations. Deepen and evolve your expertise with a focus on staying relevant. Initiate open and honest coaching conversations at all levels. Make difficult decisions and take action to resolve issues hindering team effectiveness. Model and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements.

Requirements

Managing development teams in building of GenAI solutions, including but not limited to prompt engineering, general all-purpose programming (e.g., Python), testing, communication of results, front end and back end integration, and iterative development with clients
Leading a team to document and analyze business processes for Generative AI opportunities, including gathering of requirements, creation of initial GenAI hypotheses, and development of GenAI solution approach
Collaborating with client team to understand their business problem and select the appropriate models and approachesÊfor GenAI use cases
Managing teams to process unstructured and structured data to be consumed as context for LLMs, including but not limited to embedding of large text corpus, generative development of SQL queries, building connectors to structured databases
Directing architects to design and solution GenAI architectures for clients, specifically for plugin based solutions (i.e., ChatClient application with plugins) and custom GenAI application builds
Directing data engineers and other data scientists to deliver efficient solutions to meet client requirements
Managing daily operations of a global data and analytics team on client engagements, review developed models, provide feedback and assist in analysis
Facilitating and conducting executive level presentations to showcase GenAI solutions, development progress, and next steps
Managing associates and senior associates through coaching, providing feedback, and guiding work performance
Leading business development activities for clients, including but not limited to facilitating the sales cycle of GenAI proposals
Leading internal asset development to build foundational GenAI practice
Managing GenAI application development teams including back-end and front-end integrations
Using Python (e.g., Pandas, NLTK, etc.), common LLM development frameworks (e.g., Langchain, Semantic Kernel), Relational storage (SQL), Non-relational storage (NoSQL)
Vectorization and embedding, prompt engineering, RAG (retrieval, augmented, generation) workflow dev
Possessing hands on experience with Azure, AWS, and / or Google Cloud platforms
Demonstrating experience with Git Version Control, Unit/Integration/End-to-End Testing, CI/CD, release management, etc.
Delivering successful technology creation, functional code, AI solutions and Data Platforms