Senior Data Science AI Engineer

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.

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.

Responsibilities

• 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.

Requirements

• 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.