About this role
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 an LLM - Engineer - 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 and drive data-driven decision-making. 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 solutions even when the path forward isn’t clear.
In this role at PwC Acceleration Center India, you will engage in 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.
Responsibilities
- Designing and developing data solutions to transform raw data into actionable insights - Leveraging advanced analytics and statistical techniques to extract insights from large datasets - Conducting exploratory and descriptive analysis to inform strategic decision-making - Creating data visualizations to solve complex business problems - Utilizing data science algorithms and machine learning techniques to enhance data-driven decision-making - Building and managing data pipelines and confirming data quality and integrity - Collaborating with clients to understand their data needs and deliver tailored solutions - Applying programming languages such as C++, R, and MATLAB to develop data models and predictive analytics - Implementing artificial intelligence and natural language processing to improve data analysis workflows - Mentoring junior team members and guiding them in technical problem-solving and project execution
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 - Utilizing advanced data science algorithms and workflows - Navigating complex data analysis and predictive modeling - Excelling in machine learning and deep learning techniques - Developing neural network models and natural language processing solutions - Managing data pipelines and confirming data quality - Demonstrating proficiency in programming languages such as C++, R, and MATLAB - Relevant certifications in data science or GenAI technologies - Excelling in programming with Python, R, or Scala - Skilled in machine learning libraries like TensorFlow and PyTorch
Travel Requirements Not Specified Job Posting End Date July 30, 2026