Industry/Sector

Specialism

Management Level

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 - Healthcare - Senior Manager, 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 Manager, you will leverage your skills and professional network to deliver quality results. You will motivate and coach others, coming together to solve complex problems. With increased autonomy, you will apply sound judgment, recognizing when to take action and when to escalate.

In this role at PwC Acceleration Center India, you will craft and convey clear, impactful messages that tell a holistic story. You will apply systems thinking to identify underlying problems and opportunities, validate outcomes with clients, and share alternative perspectives. Directing the team through complexity, you will demonstrate composure through ambiguous, challenging, and uncertain situations. Your ability to develop and sustain high-performing, diverse, and inclusive teams, along with your commitment to excellence, will contribute to the success of our firm.

Responsibilities

- Leading the design and development of advanced data solutions to transform raw data into actionable insights
- Guiding teams in leveraging advanced analytics and statistical techniques to solve complex business problems
- Utilizing data science workflows and algorithms to drive data-driven decision-making and strategic planning
- Building and managing data pipelines and data lakes to support large-scale data analysis
- Applying machine learning and natural language processing techniques to enhance data modeling and predictive analytics
- Overseeing the deployment of data visualization tools to communicate insights effectively
- Collaborating with clients to validate outcomes and incorporate feedback into data solutions
- Directing teams through complex and ambiguous situations, maintaining composure and focus
- Coaching and mentoring team members to develop their skills and foster a diverse and inclusive environment
- Promoting the use of innovative technologies and practices in data engineering and analytics
- Confirming data quality and compliance within analytics frameworks to support informed decision-making

What You Must Have

- At least a Bachelor's degree
- At least 12 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
- Applying systems thinking to identify underlying problems and opportunities
- Leading teams through complex data engineering projects
- Excelling in strategic questioning and storytelling to convey insights
- Innovating processes with AI-driven automation and cognitive solutions

- End to End Infra to deploy AI model (Healthcare experience) - LLM Framework, LLM Ops - Rag pipeline

Travel Requirements

Job Posting End Date