**Industry/Sector** Not Applicable **Specialism** Data, Analytics & AI **Management Level** Senior Associate **Job Description & Summary** 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 Data and Analytics Engineering practice, you will focus on exploratory and descriptive analysis, statistical modeling, and creating data visualizations to help solve complex business problems and inform strategic decisions. As a Senior Associate, you will build meaningful client connections and learn how to manage and inspire others. You will navigate increasingly complex situations, growing your personal brand and deepening your technical skills. You are expected to anticipate the needs of your teams and clients, delivering quality work even when the path forward isn’t clear. In this role at PwC Acceleration Center India, you will use a broad range of tools and methodologies to generate new ideas and solve problems, interpret data to inform insights and recommendations, and uphold professional and technical standards. This position offers a unique opportunity to develop a deeper understanding of the business context and how it is evolving, while contributing to impactful client solutions. Responsibilities - Leveraging advanced analytics and statistical techniques to extract insights from large datasets - Designing and developing robust data solutions to transform raw data into actionable insights - Conducting exploratory and descriptive analysis to solve complex business problems - Creating data visualizations to inform strategic decisions and drive business growth - Utilizing machine learning and artificial intelligence to enhance data-driven decision making - Building and managing data pipelines and data lakes to support analytics initiatives - Applying data science algorithms and predictive modeling to optimize business processes - Collaborating with clients to understand their needs and deliver tailored data solutions - Mentoring junior team members and guiding them in data science methodologies - Upholding professional and technical standards in all client engagements - Interpreting data to provide insights and recommendations for business strategies - Navigating complex situations and using critical thinking to address challenges 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 advanced machine learning techniques for predictive modeling - Excelling in complex data analysis and data-driven decision making - Leveraging programming languages such as Python, R, and MATLAB - Applying natural language processing and neural network methodologies - Navigating ambiguity while building meaningful client relationships - Utilize cloud platforms such as Azure, AWS, or GCP for model training, deployment, and scaling. - Exposure Generative AI or advanced AI frameworks (Langchain, Crew AI etc.) **Travel Requirements** Not Specified **Job Posting End Date**