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Strong PwC brand and metro Hyderabad location increase applicant density despite senior, specialized ML focus.
Advanced ML expertise and healthcare domain preference limit easy cross-industry transferability.
Explicit 8+ years requirement plus specialized ML, deep learning, and deployment mandates make screening strict.
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Lead development of advanced ML and statistical models focused on healthcare challenges, particularly healthcare revenue cycle.
Establish best practices in modeling, experimentation, and analytical rigor while collaborating with global stakeholders to influence product and business strategies.
Mentor and enhance capabilities of the data science team and deploy models into production environments.
8+ years of experience in data science or a related quantitative field.
Bachelor of Engineering degree required.
Proven expertise with statistical modeling, machine learning, handling large datasets, and modern ML methods including Transformers, Deep Learning, and Graph Neural Networks.
Prior experience or domain knowledge in healthcare preferred; notice period not explicitly mentioned.
Experienced senior data scientist with strong technical skills in ML and statistical methods applied to healthcare.
Capable of independently solving ambiguous, complex problems and delivering scalable data science solutions.
Comfortable managing cross-functional collaboration and mentoring technical teams in a global environment.