AI & GenAI Data Scientist-Senior Associate

• Respond effectively to the diverse perspectives needs and feelings of others.
• Use a broad range of tools methodologies and techniques to generate new ideas and solve problems.
• Use critical thinking to break down complex concepts.
• Understand the broader objectives of your project or role and how your work fits into the overall strategy.
• Develop a deeper understanding of the business context and how it is changing.
• Use reflection to develop self awareness enhance strengths and address development areas.
• Interpret data to inform insights and recommendations.
• Uphold 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.

• 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.

• 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.

What We Do

Build what’s next — with tech that matters PwC provides professional services across Audit and Assurance Advisory and Tax — powered by a global network of over 370000 people in 149 countries. You may know us for our business expertise but technology is core to how we help clients move faster build trust and deliver meaningful outcomes. As a technologist you’ll work on agile teams with experienced engineers and product thinkers — using AI cloud cybersecurity and more to design scalable real-world solutions. You’ll keep learning stay challenged and be part of a network where your growth is built in — and your work drives what’s next.

Why Work With Us

At PwC our professionals include technologists engineers programmers and consultants working across AI cloud cybersecurity data and more. You’ll explore innovative ways to help clients transform their business through technology—reducing complexity unlocking value and shaping a more agile data-driven future.

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