Principal Analyst, Machine learning, Group Finance Analytics

SingHealth Group; Singapore; On-site; SGD 80,000 - 110,000; Full time

Job summary

A leading healthcare institution in Singapore is seeking a Principal Analyst to drive strategic decision-making through innovative AI and Machine Learning solutions. The ideal candidate will have a Bachelor's degree in a quantitative discipline and extensive experience in analysis and supervision. This role involves building scalable solutions, collaborating with cross-functional teams, and providing training on analytics tools. Strong communication skills and technical expertise are essential.

Qualifications

• At least 5 years of technical experience and 2 years in a supervisory role.
• Experience in the healthcare or finance industry is preferred.
• Strong understanding of machine learning and data mining techniques.
• Proficiency in building visualisation dashboards.

Responsibilities

• Support value creation through AI and Machine Learning solutions.
• Build prototypes and scalable solutions for data-driven insights.
• Lead data analytics projects and collaborate with stakeholders.

Skills

Machine learning

Data analysis

Statistical modelling

Data wrangling

Automation applications (UiPath, Power Automate)

Communication skills

Education

Bachelor's Degree in Computer Science, Engineering, Statistics, Mathematics, or Business Analytics

Tools

Tableau

Qlik Sense

Power BI

OpenAI

Databricks

Job description

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.

Qualifications & Experience

• 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.

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