Senior Associate – Data Scientist, D&A, Advisory

Overview

As a Senior Data Scientist focused on healthcare, you will develop advanced machine learning and statistical models to solve complex healthcare problems and deliver scalable data science solutions.

What you'll do

• Lead the development of advanced machine learning 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 machine learning and healthcare analytics.

What you'll need

• 8+ years of experience in data science or a related quantitative field, such as Computer Science, Statistics, or Mathematics.
• Solid grounding in statistical modeling, machine learning, and complex problem-solving techniques.
• Proven experience handling large, high-dimensional datasets and delivering clear, actionable insights.
• Expertise with modern machine learning methods, including Transformers, such as NLP and representation learning.
• Expertise with deep learning frameworks and architectures.
• Expertise with graph-based machine learning, such as Graph Neural Networks.
• Comfort tackling ambiguous problems and pursuing impactful outcomes independently.
• Excellent collaboration and communication skills for engaging with a range of stakeholders.
• Experience deploying models into production environments.
• Full-time B.E. education.
• Required skill: Data Science.

Nice to have

• Familiarity with causal inference and decision-focused modeling is a plus.
• Prior experience or domain knowledge in healthcare, particularly healthcare revenue cycle, is preferred.
• Preferred skills: Python, Machine learning, Deep learning.

Details

• Location: Hyderabad - Salarpuria; the posting also states Hyderabad.
• Employment type: Full Time, Permanent.