Principal Analyst, Machine Learning - Group Finance Analytics

About the role

SingHealth is seeking a Principal Analyst to support its drive towards value creation and strategic decision-making through artificial intelligence and machine learning solutions. You will build prototypes and scalable solutions, develop machine learning models, robotic process automation and visualisation platforms that give data-driven insights for better patient outcomes and financial sustainability.

Key responsibilities

• Establish data analytics support for clinical and financial initiatives such as value-based care, Choosing Wisely programmes, patient-reported outcome measures, capitation payment models, population health management and EHR integration, while advising analysts technically.
• Lead commissioned data analytics projects to deliver insights and recommendations, collaborating with cross-functional teams and regional health stakeholders.
• Provide training on analytics tools to institutional teams and assist with additional projects as assigned to advance the cluster's healthcare transformation objectives.

Required profile

• Bachelor's degree in Computer Science, Engineering, Statistics, Mathematics, Business Analytics or another quantitative discipline.
• At least 5 years of technical experience and 2 years in a supervisory role; healthcare or finance experience preferred.
• Strong theoretical understanding of financial/statistical modelling, machine learning, data mining and related techniques.
• Strong analytical and problem-solving skills, and excellent verbal and written communication and presentation skills.
• Ability to work independently and in a team in a fast-paced environment.

Required skills

• Data wrangling, data preparation and dashboard visualisation with Tableau, Qlik Sense or Power BI.
• UiPath, Microsoft Power Automate and other AI automation tools.
• OpenAI and Databricks experience is an advantage.