LLM - Engineer - Senior Associate

Industry/Sector Not ApplicableSpecialism Data, Analytics & AIManagement Level Senior AssociateJob 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. Youll work at the heart of global teams across Advisory, Assurance, Tax and Business Servicessolving real client challenges through connected collaboration. Well 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 differenceevery day. As an LLM - Engineer - Senior Associate, you will play a pivotal role in delivering data-driven solutions within our Data and Analytics practice. You will engage directly with clients, leveraging your skills to analyze complex data sets and provide actionable insights. As a Senior Associate, you will focus on building meaningful client connections and developing a deeper understanding of the business context. You will guide and mentor others, navigating complex situations to deliver quality work and grow your personal brand. In this role at PwC Acceleration Center India, you will be part of a dynamic team within our AI-Driven Automation & Cognitive Solutions sector. You will collaborate with professionals in Cloud Engineering, Data & Analytics, and the Data, Analytics & AI network to drive innovation and deliver impactful solutions. This position offers the opportunity to enhance your technical skills while contributing to cutting-edge projects that shape the future of data analysis. Responsibilities Conducting complex data analysis to derive actionable insights for client engagementsDeveloping and implementing data models and algorithms to support AI-driven solutionsUtilizing tools such as Alteryx, Power BI, and Tableau for data visualization and dashboard creationManaging data pipelines and confirming data integrity and security throughout the analysis processCollaborating with cross-functional teams to integrate data-driven insights into business strategiesPerforming exploratory data analysis to identify trends and patterns in large datasetsBuilding predictive models using machine learning techniques to forecast business outcomesPreparing and presenting detailed reports and visualizations to communicate findings to stakeholdersEngaging in continuous learning to stay updated with the latest advancements in data analytics and AI technologies What You Must Have At least a Bachelor's degreeAt least 4 years of experienceOral and written proficiency in English required What Sets You Apart Preference for at least one of the following fields of study: Accounting, Engineering, Data Processing/Analytics/Science, Computer and Information Science, Economics, FinanceAt least one of the following: A Certification in databases (Databricks, MS SQL), visualization tools (Power BI), cloud platforms (AWS, Azure, GCP), or predictive modeling/ML (Python, SAS)Utilizing advanced data analysis techniques to drive insightsDeveloping complex algorithms for AI-driven automation solutionsLeveraging cloud engineering skills to optimize data processesExcelling in client-focused communication and relationship buildingNavigating ambiguity with critical thinking and problem-solving skills Travel Requirements Not SpecifiedJob Posting End Date .