LLM Engineer - Healthcare - Manager

PwC Acceleration Center India; Bengaluru; On-site; INR 3,500,000 - 6,000,000; Full time

Job summary

PwC Acceleration Center India in Bengaluru is seeking an experienced LLM Engineer - Healthcare Manager to lead data science initiatives and transform raw data into actionable insights for healthcare clients. You will guide teams across advisory, assurance, tax and business services, deploying advanced analytics, ML models, and data pipelines to solve complex business problems.

As a Manager, you will mentor junior staff, manage client accounts, and ensure high-quality delivery while promoting

Qualifications

• Bachelor's degree required in a relevant field.
• 8+ years of experience in data science or analytics.
• English proficiency required.

Responsibilities

• Lead data science initiatives to transform data into actionable insights.
• Guide development and deployment of analytics and ML models.
• Design data pipelines and data lakes for large-scale processing.
• Mentor team members and manage client accounts.
• Ensure quality delivery and adherence to standards.

Skills

Data science

Team leadership

ML techniques

Healthcare analytics

Python

R

C++

Education

Bachelor's degree

Tools

Python

R

C++

Job description

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. 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. You 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 informed decision‑making
• Guiding teams in the development and deployment of advanced analytics and statistical models
• Utilizing machine learning and artificial intelligence techniques to solve complex business problems
• Designing and implementing data pipelines and data lakes to support large‑scale data processing
• Overseeing the creation of data visualizations to communicate insights effectively to stakeholders
• Collaborating with cross‑functional teams to drive data‑driven decision‑making and business growth
• Mentoring team members to enhance their skills in data science and analytics
• Managing project timelines and deliverables to align with client expectations and business objectives
• Promoting the adoption of innovative technologies and methodologies in data science projects
• Validating data quality and integrity within analytics frameworks to support reliable outcomes

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

• 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 healthcare analytics
• Excelling in complex data analysis and predictive modeling
• 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