Associate Principal/Senior/Analyst, Data Science, Group Finance Analytics (Contract)

SingHealth Group

Singapore

Presencial

SGD 70.000 - 100.000

Jornada completa

Hace 9 días
Generador de candidaturas

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Descripción de la vacante

SingHealth Group is seeking an Associate Principal/Senior/Analyst in Data Science for Group Finance Analytics on a contract. You will drive analytics from planning through prototyping, building data environments and delivering insights.

You will collaborate to support finance, clinical quality and population health teams and guide junior staff. The role emphasizes practical data science techniques, RFP support, and cross-functional partnership to enable research breakthroughs within SingHealth

Formación

  • Bachelor's degree in a quantitative field with 2–5 years of relevant experience preferred.
  • Advanced understanding of statistical modelling and machine learning.
  • Experience with coding in R/Python/SQL; familiarity with MATLAB, SPSS and STATA is a plus.
  • Strong analytical, problem-solving and communication skills; able to work independently in a fast-paced environment.

Responsabilidades

  • Champion development of new data science techniques and analytics delivery from planning to prototyping and implementation.
  • Construct databases and computing environments; visualise complex data for business insights.
  • Provide technical support for researchers’ data needs and RFPs within SingHealth’s VADAR initiative.
  • Collaborate with stakeholders across value/bundle care, population health, clinical quality and finance.
  • Mentor lower-level team members and influence stakeholders in a data-driven research agenda.

Conocimientos

Statistical modelling
Machine learning
Problem solving
Communication skills
Independent worker
Team player

Educación

Bachelor's Degree in Finance, Statistics, Mathematics, Computer Science/ Engineering, Business Analytics or other quantitative disciplines

Herramientas

R
Python
SQL
MATLAB
SPSS
STATA

Descripción del empleo

Associate Principal/Senior/Analyst, Data Science, Group Finance Analytics (Contract)

Job Category: Administration

Posting Date: 6 Sept 2026

You will champion the development of new data science techniques, methodologies and delivery of analytics projects from planning through to prototyping, testing, implementation and publication. You will identify and develop core data science components for the delivery of projects, construct dedicated databases and computing environments, and explore and visualise complex data sets to provide business insights. As a key member of the Value Driven Analytics Research (VADAR) initiative, you will provide technical expertise to researchers’ data needs, and/or RFPs and related commercial activities. Your duties include working on data analytics projects that are commissioned by institutions within SingHealth and provide recommendations based on the clinical, operational and financial analysis performed. You will collaborate with various stakeholders and cross-functional teams, especially the value/bundle care, population health, clinical quality and finance offices within the cluster.

For the Senior Analyst position, you will also guide and mentor lower-level team members and are expected to influence key stakeholders, spearheading a data-driven approach to contribute to research breakthroughs.

Other responsibilities include projects as and when assigned.

Requirements:

  • Bachelor’s Degree in Finance, Statistics, Mathematics, Computer Science/ Engineering, Business Analytics or other quantitative disciplines with preferably 2 to 5 years of relevant experience
  • Advanced theoretical understanding of statistical modelling, machine learning, developing simulation models
  • Experience with algorithms and coding proficiency with tools such as R/ Python/ SQL
  • Good understanding of MATLAB, SPSS, and STATA
  • Meticulous and possesses strong analytical and problem-solving skills
  • Excellent verbal and written communication skills
  • A team player who is also able to work independently in a fast-paced environment
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