Principal Analyst, Machine learning, Group Finance Analytics

Singapore National Eye Centre; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Singapore National Eye Centre seeks a Principal Analyst to drive AI/ML initiatives within Group Finance Analytics. You will build prototypes and scalable solutions, develop ML models, and create automation and visualization platforms for data-driven insights to improve patient outcomes and financial sustainability.

You will lead analytics projects, collaborate with cross‑functional teams and regional stakeholders, and train analysts on analytics tools while supporting EHR integration and

Qualifications

• Bachelor's degree in quantitative discipline; 5+ years in technical roles; 2+ years in supervisory capacity.
• Healthcare or finance domain experience preferred.
• Strong modelling, data mining and ML knowledge; data wrangling and dashboards.

Responsibilities

• Lead data analytics projects to deliver insights and recommendations.
• Build prototypes and scalable ML solutions for decision support.
• Collaborate with cross-functional teams and regional health stakeholders.
• Provide training on analytics tools to institutional teams and support EHR integration.

Skills

Analytical thinking

Problem solving

Communication skills

Team collaboration

Independent work

Education

Bachelor's degree in quantitative discipline

Tools

Tableau

Qlik Sense

Power BI

UiPath

Power Automate

OpenAI

Databricks

Job description

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Principal Analyst, Machine learning, Group Finance Analytics

Job Category: Administration

Posting Date: 2 Sept 2026

Principal Analyst, Machine learning, Group Finance Analytics

We are seeking a Principal Analyst to support our drive towards value creation and strategic decision-making through innovative Artificial Intelligence and Machine Learning solutions. You will build prototypes and scalable solutions, develop machine learning models, robotic process automation and visualisation platforms that enable data-driven insights for better patient outcomes and financial sustainability.

You will establish data analytics support for clinical and financial initiatives including value-based care, choosing wisely programmes, patient reported outcome measures, capitation payment models, population health management and Electronic Health Records (EHR) integration, whilst providing technical advisory to analysts.

You will lead commissioned data analytics projects to deliver insights and recommendations, collaborate 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.

Job Requirements:

• Bachelor's Degree in Computer Science, Engineering, Statistics, Mathematics, Business Analytics or other quantitative disciplines, with preferably at least 5 years of technical experience and 2 years in a supervisory role
• Experience in the healthcare or finance industry is preferred
• Strong theoretical understanding of financial/statistical modelling, machine learning, data mining and related techniques
• Technical experience with data wrangling, data preparation and building visualisation dashboards with Tableau/Qlik Sense/Power BI
• Proficiency in UiPath, Microsoft Power Automate and other Artificial Intelligence automation applications
• Experience with OpenAI, Databricks will be an advantage
• Strong analytical and problem-solving skills
• Excellent verbal and written communication and presentation skills
• Ability to work independently as well as in a team in a fast-paced environment