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PwC India is seeking a Senior Associate AI Engineer in Gurgaon within the Advisory GCC. The role focuses on leading development of advanced ML and statistical models for healthcare problems, promoting best practices, and transforming real-world challenges into scalable data science solutions.
You will collaborate with global stakeholders, mentor the data science team, and stay current with ML advances in healthcare analytics, delivering impactful insights and outcomes across advisory services.
IN_Sr Associate_ AI Engineer_GCC_Advisory_Gurgaon Line of Service Advisory Industry/Sector Not Applicable Specialism Managed Services Management Level Senior Associate
Job Description & Summary At PwC, our people in customer consulting specialise in providing consulting services focused on customer-related strategies and initiatives. These individuals analyse client needs, develop customer-centric solutions, and offer guidance and support to help clients enhance their customer experience and drive business growth. As a customer consulting generalist at PwC, you will join other individuals who possess a broad range of skills and experience in customer consulting. You will analyse client needs, provide consulting services across different customer-related areas, and offer guidance and support to help clients develop and implement effective strategies to enhance their customer experience, drive business growth, and improve overall customer satisfaction.
At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us . At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations.
Job Description & Summary A career within Data & Analytics Services will provide you with the opportunity to help our clients leverage transformation to enhance their customer experiences.
Senior Data Science AI Engineer
What You Will Do: Lead the development of advanced machine learning (ML) and statistical models to solve complex healthcare problems. Establish and promote best practices in modeling, experimentation, and analytical rigor. Convert real-world healthcare challenges into scalable data science solutions. Collaborate with global stakeholders to influence product and business strategy. Mentor and enhance the technical capabilities of the data science team. Keep up to date with the latest advances in ML and healthcare analytics.
Python, Machine learning , Deep learning Years of experience required 8+ years
Full time B. E Education (if blank, degree and/or field of study not specified)
MBA (Master of Business Administration), Bachelor of Engineering
Certifications (if blank, certifications not specified)
Graphic Design
Accepting Feedback, Accepting Feedback, Active Listening, AI Fluency, AI-Human Collaboration, Analytical Thinking, Business Case Development, Business Development, Business Expansion, Business Model Development, Business Transformation, Channel Partner Management, Communication, Creativity, Customer Analysis, Customer Engagement, Customer Experience (CX) Strategy, Customer Insight, Customer Relationship Management, Customer Retention, Customer Service, Customer Strategy, Customer Success, Customer Transformation, Digital Tooling {+ 20 more}
Not Specified
No
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June 23, 2026
Senior Level