AI Architect - Senior Associate

The Opportunity Join our Acceleration Center India and help shape the future of business for our diverse client portfolio across geographies and jurisdictions. You’ll work at the heart of global teams across Advisory, Assurance, Tax and Business Services—solving real client challenges through connected collaboration. We’ll help you grow your skills so you can go further. With hands-on learning, cutting-edge tools and an inclusive culture, this is your opportunity to do inspiring work that makes a difference—every day. As an AI Architect - Senior Associate, you will play a pivotal role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth within our Data and Analytics Engineering practice. You will focus on leveraging advanced analytics and statistical techniques to extract insights from large datasets, working on exploratory and descriptive analysis, statistical modeling, and creating data visualizations to solve complex business problems and inform strategic decisions. As a Senior Associate, you will build meaningful client connections, learning how to manage and inspire others while navigating increasingly complex situations. You are expected to anticipate the needs of your teams and clients, delivering quality work and growing your personal brand and technical skills. Embracing increased ambiguity, you will be comfortable when the path forward isn’t clear, using these moments as opportunities to grow. In this role at PwC Acceleration Center India, you will leverage your skills to analyze complex concepts, interpret data to inform insights and recommendations, and uphold professional and technical standards. You will use a broad range of tools and methodologies to generate new ideas and solve problems, contributing to the firm's overall business strategies and client solutions.

Responsibilities

• Designing and developing advanced data solutions to transform raw data into actionable insights
• Leveraging statistical modeling and data science algorithms to solve complex business problems
• Conducting exploratory and descriptive analysis to inform strategic decision-making
• Creating data visualizations to effectively communicate insights and trends
• Utilizing machine learning and deep learning techniques to enhance data-driven decision-making
• Building and maintaining data pipelines and data lakes to support large-scale data processing
• Collaborating with clients to understand their data needs and deliver tailored solutions
• Applying programming languages such as C++, R, and MATLAB to develop and optimize data models
• Implementing data quality and data engineering practices to maintain data integrity
• Engaging in project management to oversee the execution of data science initiatives
• Embracing change and demonstrating intellectual curiosity to drive innovation in data analytics
• Interpreting data to provide insights and recommendations for business growth What You Must Have
• At least a Bachelor's degree
• At least 4 years of experience
• Oral and written proficiency in English required What Sets You Apart
• Preference for at least one of the following fields of study: Artificial Intelligence and Robotics, Business Analytics, Computer and Information Science, Computer Engineering, Computer Programming, Data Processing/Analytics/Science, Engineering, Information Technology, Machine Learning, Management Information Systems, Mathematics, Statistics, Systems Engineering
• Demonstrating proficiency in data science algorithms and workflows
• Utilizing machine learning and deep learning techniques effectively
• Excelling in complex data analysis and predictive modeling
• Leveraging programming languages such as Python, R, and MATLAB
• Applying natural language processing and neural network methodologies
• Navigating ambiguity while building meaningful client relationships
• End to End Infra to deploy AI model (Healthcare experience)
• LLM Framework, LLM Ops
• Rag pipeline