Principal Analyst, Machine learning, Group Finance Analytics

Singapore Health Services Pte Ltd (SingHealth HQ); Singapore; On-site; SGD 80,000 - 100,000; Full time

Job summary

A leading healthcare provider in Singapore seeks a Principal Analyst to enhance decision-making through innovative Machine Learning and AI solutions. You'll build prototypes, develop machine learning models, and lead data analytics projects aimed at improving patient outcomes and financial sustainability. Ideal candidates will have a Bachelor’s degree and significant experience in relevant fields, with a strong understanding of analytical tools and techniques. This is an excellent opportunity to contribute to healthcare transformation efforts.

Qualifications

• Bachelor's Degree in relevant quantitative discipline with ideally 5 years of technical experience.
• Experience in healthcare or finance is preferred.
• Strong understanding of financial/statistical modeling and machine learning.

Responsibilities

• Support strategic decision-making through AI and Machine Learning solutions.
• Develop machine learning models and visualisation platforms.
• Lead data analytics projects and provide insights for healthcare transformation.

Skills

Machine learning

Data visualization

Analytical skills

Communication skills

Problem-solving

Education

Bachelor's Degree in Computer Science or related fields

Tools

Tableau

Qlik Sense

Power BI

UiPath

Microsoft Power Automate

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.

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