AI & GenAI Data Scientist-Senior Associate

Position Overview

At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. In this role, you will utilise advanced analytical techniques to extract insights from large datasets, drive data‐driven decision‐making, and support clients in solving complex business problems. Focused on relationships, you will build meaningful client connections and learn to manage and inspire others while deepening your technical expertise.

Key Responsibilities

• Building of GenAI and AI solutions, including analytical model development and implementation, prompt engineering, general 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 requirements, creating initial hypotheses, and developing solution approaches.
• Collaborating with client teams to understand business problems and select appropriate analytical models and approaches for AI and GenAI use cases.
• Designing and solutioning AI/GenAI architectures for clients, including plugin-based solutions (e.g., ChatClient application with plugins) and custom application builds.
• Processing unstructured and structured data to be used as context for LLMs, including embedding large text corpora, generative SQL query development, and building connectors to structured databases.
• Managing daily operations of a global data and analytics team on client engagements, reviewing developed models, providing feedback, and assisting in analysis.
• Directing data engineers and other data scientists to deliver efficient solutions that meet client requirements.
• Leading and contributing to the development of proofs of concept, pilots, and production use cases in cross-functional teams.
• Structuring, writing, communicating, and facilitating client presentations.
• Directing associates through coaching, providing feedback, and guiding work performance.
• Managing AI/GenAI application development teams including both back-end and front-end integrations.
• Using Python (e.g., Pandas, NLTK, Scikit-learn, Keras), LLM development frameworks (e.g., Langchain, Semantic Kernel), and working with relational (SQL) and non-relational (NoSQL) storage.
• Applying analytical techniques such as Machine Learning, Deep Learning, and Optimization.
• Utilizing vectorization, embedding, prompt engineering, and RAG (retrieval, augmented, generation) workflow development.
• Demonstrating hands-on experience with cloud platforms such as Azure, AWS, and/or Google Cloud.
• Working with Git Version Control, Unit/Integration/End-to-End Testing, CI/CD, and release management.

Required Qualifications

• Bachelor's Degree
• Minimum of 4 years of relevant experience

Benefits & Perks

• Compensation: $77,000 - $202,000 (Actual compensation depends on skills, experience, qualifications, location, and applicable employment laws) plus an annual discretionary bonus.
• Benefits: A wide range including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more.