Senior Data Science AI Engineer.
This mandate is run by SYMPHONI HR, a Mumbai-based executive search firm, est. 2003. Applications are email-verified and reach the search team running the role — confidentially, always.
About the organisation.
Our client is a leading global professional services firm specializing in advisory, tax, and assurance services. They are committed to driving digital transformation and leveraging advanced analytics to solve complex business challenges for a diverse range of international clients. The firm fosters a culture of innovation, continuous learning, and collaborative problem-solving.
About the role.
This role involves leading the development of advanced machine learning and statistical models to address complex challenges within the healthcare sector. You will work in a hybrid environment to convert real-world data into scalable, actionable solutions while collaborating with global stakeholders to influence business strategy. The position is ideal for a seasoned professional looking to apply cutting-edge AI techniques to high-impact industry problems.
What you will 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.
- Deploy models into production environments to ensure real-world impact.
What you bring.
- 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 in Transformers, deep learning frameworks, and Graph Neural Networks.
- Familiarity with causal inference and decision-focused modeling.
- Strong proficiency in Python.
- Experience deploying models into production environments.
- Domain knowledge in healthcare, particularly the healthcare revenue cycle, is highly preferred.
- Full-time Bachelor of Engineering degree.
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