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. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In data analysis at PwC, you will extract insights from large datasets using data manipulation, visualisation, and statistical modelling. Focused on building meaningful client relationships and managing teams, you will anticipate needs, deliver quality results, and use ambiguous situations as opportunities to grow.

Key Responsibilities

• Develop and implement GenAI and AI solutions, including analytical model development, prompt engineering, programming (e.g., Python), testing, front-end and back-end integration, and iterative development with clients.
• Document and analyse business processes for identifying AI and Generative AI opportunities, including gathering requirements and formulating solution approaches.
• Collaborate with client teams to understand business problems and select appropriate analytical models and approaches for AI and GenAI use cases.
• Design and propose AI/GenAI architectures for clients, including plugin-based solutions and custom application builds.
• Process both unstructured and structured data for use as context in large language models, including developing SQL queries and building database connectors.
• Manage daily operations of a global data and analytics team on client engagements, review models, provide feedback, and support analysis.
• Direct data engineers and data scientists to deliver efficient solutions that meet client requirements.
• Lead and contribute to proof of concepts, pilots, and production use cases within cross-functional teams.
• Structure, write, communicate, and facilitate client presentations.
• Coach and guide associates by providing feedback and setting performance expectations.

Required Qualifications

• Bachelor's Degree
• Minimum 4 years of relevant experience
• Experience in managing AI/GenAI application development teams with both back-end and front-end integrations
• Proficiency in Python (e.g., Pandas, NLTK, Scikit-learn, Keras), LLM development frameworks (e.g., Langchain, Semantic Kernel), SQL, and NoSQL
• Experience with analytical techniques such as Machine Learning, Deep Learning, and Optimization
• Knowledge of vectorization, embedding, prompt engineering, and RAG (retrieval, augmented, generation) workflows
• Familiarity with cloud platforms like Azure, AWS, or Google Cloud and version control systems such as Git with CI/CD practices

Benefits & Perks

• Compensation: $77,000 - $202,000, dependent upon skills, experience, qualifications, and location, plus an annual discretionary bonus.
• Benefits: Medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more.
• Opportunity to work with global teams and a diverse portfolio of projects.
• Exposure to cutting-edge AI and data analytics technologies.