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PwC brand and metro location increase competition, but seniority and specialized ML-healthcare skills narrow candidate pool.
Advanced ML skills are transferable, but healthcare revenue-cycle knowledge increases domain specificity.
Requires 8+ years, advanced ML expertise, production deployment experience, and healthcare domain knowledge.
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Lead development of advanced machine learning and statistical models addressing complex healthcare problems, focusing on healthcare revenue cycle.
Establish and promote best practices in modeling, experimentation, and analytic rigor, collaborating with global stakeholders to influence product and business strategy.
Mentor data science team members and stay updated with latest machine learning and healthcare analytics advances; responsible for deploying models into production.
8+ years of experience in data science or related quantitative field (e.g., Computer Science, Statistics, Mathematics).
Bachelor of Engineering degree.
Proven experience with statistical modeling, machine learning, handling large datasets, advanced ML methods (Transformers, deep learning, graph-based ML).
Location: Hyderabad; Full Time, Permanent role.
Experienced in healthcare domain, particularly healthcare revenue cycle analytics.
Capable of independently solving ambiguous problems and delivering impactful data science solutions.
Strong communicator and collaborator able to engage a range of stakeholders and mentor junior team members.