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Tier-1 PwC brand, mid-level ML role, metro Hyderabad, and popular Data Scientist title raise competition.
Core ML skills are transferable; healthcare experience is optional, so industry specificity is low.
Explicit 4–7 years plus mandatory modern ML, NLP, deep learning, and production experience increases filtering.
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Lead development of advanced machine learning and statistical models for complex healthcare problems.
Drive best practices in modeling, experimentation, and analytical rigor; translate real-world problems into scalable data science solutions.
Collaborate with global stakeholders to influence product and business decisions and mentor the data science team to enhance technical expertise.
4+ years of experience in data science or a related quantitative field (Computer Science, Statistics, Mathematics, etc.).
Educational requirement: B.Tech, M.Tech, M.E, MCA, or B.E degree.
Mandatory skills include modern machine learning techniques such as Transformers (NLP, representation learning), deep learning, and graph-based methods (Graph Neural Networks).
Experience required with large, high-dimensional datasets and deploying models to production.
Experienced in healthcare or healthcare revenue cycle domain preferred but not mandatory.
Capable of handling ambiguous problems with high-impact data science solutions and strong stakeholder collaboration skills.
Proficient in cutting-edge ML advances including causal inference/decision-focused modeling and able to mentor others in technical data science depth.