PwC · 2 months ago
AI & GenAI Data Scientist-Senior Associate
PwC is a leading professional services firm that focuses on leveraging data and analytics to drive insights and informed business decisions. The role of AI & GenAI Data Scientist-Senior Associate involves utilizing advanced analytical techniques to extract insights from large datasets, support clients in solving complex business problems, and manage AI and GenAI solutions development.
AccountingBusiness DevelopmentConsultingFinanceFinancial ServicesTax Consulting
Responsibilities
Building of GenAI and AI solutions, including but not limited to analytical model development and implementation, prompt engineering, general all-purpose programming (e.g., Python), testing, communication of results, front end and back-end integration, and iterative development with clients
Documenting and analyzing business processes for AI and Generative AI opportunities, including gathering of requirements, creation of initial hypotheses, and development of GenAI and AI solution approach
Collaborating with client team to understand their business problem and select the appropriate analytical models and approaches for AI and GenAI use cases
Designing and solutioning AI/GenAI architectures for clients, specifically for plugin-based solutions (i.e., ChatClient application with plugins) and custom AI/GenAI application builds
Processing 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
Support management of daily operations of a global data and analytics team on client engagements, review developed models, provide feedback and assist in analysis
Directing data engineers and other data scientists to deliver efficient solutions to meet client requirements
Leading and contributing to development of proof of concepts, pilots, and production use cases for clients while working in cross-functional teams
Structuring, write, communicate and facilitate client presentations; and
Directing associates through coaching, providing feedback, and guiding work performance
Qualification
Required
Bachelor's Degree
4 year(s) of experience
Building of GenAI and AI solutions, including but not limited to analytical model development and implementation, prompt engineering, general all-purpose programming (e.g., Python), testing, communication of results, front end and back-end integration, and iterative development with clients
Documenting and analyzing business processes for AI and Generative AI opportunities, including gathering of requirements, creation of initial hypotheses, and development of GenAI and AI solution approach
Collaborating with client team to understand their business problem and select the appropriate analytical models and approaches for AI and GenAI use cases
Designing and solutioning AI/GenAI architectures for clients, specifically for plugin-based solutions (i.e., ChatClient application with plugins) and custom AI/GenAI application builds
Processing 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
Support management of daily operations of a global data and analytics team on client engagements, review developed models, provide feedback and assist in analysis
Directing data engineers and other data scientists to deliver efficient solutions to meet client requirements
Leading and contributing to development of proof of concepts, pilots, and production use cases for clients while working in cross-functional teams
Structuring, write, communicate and facilitate client presentations
Directing associates through coaching, providing feedback, and guiding work performance
Managing AI/GenAI application development teams including back-end and front-end integrations
Using Python (e.g., Pandas, NLTK, Scikit-learn, Keras etc.), common LLM development frameworks (e.g., Langchain, Semantic Kernel), Relational storage (SQL), Non-relational storage (NoSQL)
Experience in analytical techniques such as Machine Learning, Deep Learning and Optimization
Vectorization and embedding, prompt engineering, RAG (retrieval, augmented, generation) workflow dev
Understanding or hands on experience with Azure, AWS, and / or Google Cloud platforms
Experience with Git Version Control, Unit/Integration/End-to-End Testing, CI/CD, release management, etc
Benefits
Medical
Dental
Vision
401k
Holiday pay
Vacation
Personal and family sick leave
And more
Company
PwC
At PwC, we help clients drive their companies to the leading edge.
Funding
Current Stage
Late StageTotal Funding
unknownKey Investors
Apparel Impact Institute
2023-09-19Grant
Leadership Team
Recent News
Bizjournals.com Feed (2025-11-12 15:43:17)
2026-01-09
Financial Mirror
2025-12-18
Company data provided by crunchbase