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 - 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. You will work on exploratory and descriptive analysis, statistical modeling, and creating data visualizations to help solve complex business problems and inform strategic decisions.

As a Manager, you will lead teams and manage client accounts, focusing on strategic planning and mentoring junior staff. You are accountable for confirming project success and maintaining standards. Enhancing your leadership style, you motivate, develop, and inspire others to deliver quality. You are responsible for coaching, leveraging team members' unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way.

In this role at PwC Acceleration Center India, you will embrace technology and innovation to enhance your delivery and encourage others to do the same.

Responsibilities

- Leading data science initiatives to transform raw data into actionable insights for healthcare clients
- Guiding teams in the development and deployment of advanced analytics solutions using machine learning and artificial intelligence
- Utilizing data engineering techniques to design and maintain robust data pipelines and data lakes
- Conducting complex data analysis and statistical modeling to inform strategic decision-making
- Developing and implementing predictive models and algorithms to solve business challenges
- Overseeing the creation of data visualizations to communicate insights effectively to stakeholders
- Mentoring team members to enhance their skills in data science workflows and troubleshooting
- Collaborating with client teams to identify opportunities for data-driven decision making
- Promoting the adoption of innovative technologies and practices in data analytics
- Validating data quality and compliance within analytics frameworks

What You Must Have

- At least a Bachelor's degree
- At least 8 years of experience
- Oral and written proficiency in English required

What Sets You Apart

- Leveraging experience with programming languages such as Python, R, and C++
- Implementing data-driven decision-making strategies in client projects
- Navigating and managing data pipelines and data lakes effectively

- End to End Infra to deploy AI model (Healthcare experience)

- LLM Framework, LLM Ops

- Rag pipeline

- 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 machine learning and deep learning techniques effectively
- Managing complex data analysis and predictive modeling projects
- Excelling in coaching and mentoring team members
- Leveraging data-driven decision-making to enhance client outcomes
- Embracing change and innovation in data engineering practices

Travel Requirements

Job Posting End Date