Data Scientist - AI/ML - Engineer - 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 a Data Scientist - AI/ML - Engineer - Senior Associate, you will leverage advanced analytics and statistical techniques to transform raw data into actionable insights, enabling informed decision-making and driving business growth. Within our Technology Consulting practice, you will focus on building meaningful client connections and learning how to manage and inspire others. Navigating increasingly complex situations, you will grow your personal brand, deepen your technical skills, and enhance your awareness of strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. In this role at PwC Acceleration Center India, you will work on exploratory and descriptive analysis, statistical modeling, and creating data visualizations to help solve complex business problems and inform strategic decisions. You will use a broad range of tools, methodologies, and techniques to generate new ideas and solve problems. By interpreting data to inform insights and recommendations, you will uphold and reinforce professional and technical standards, contributing to the firm's overall business strategies. This position offers a unique opportunity to develop a deeper understanding of the business context and how it is evolving, while embracing increased ambiguity and using these moments as opportunities to grow. Responsibilities - Developing and implementing advanced data solutions to transform raw data into actionable insights - Leveraging statistical modeling and machine learning techniques to solve complex business problems - Conducting exploratory and descriptive analysis to inform strategic decision-making - Designing and maintaining data pipelines and workflows for efficient data processing - Utilizing programming languages such as Python, R, and C++ for data analysis and model development - Collaborating with cross-functional teams to integrate data-driven insights into business strategies - Building and optimizing data lakes and data warehouses to support large-scale data analysis - Applying data science algorithms and tools like TensorFlow and Scikit-Learn to enhance predictive modeling capabilities - Confirming data quality and integrity throughout the data lifecycle - Creating data visualizations to effectively communicate insights to stakeholders 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 programming languages such as C++, R, and MATLAB - Applying machine learning techniques to complex data analysis - Leveraging data engineering skills for data pipeline and data lake management - Excelling in predictive modeling and statistical analysis - Navigating ambiguity while building meaningful client connections