Senior/Manager, Data Science & Analytics (2-Year Contract)

About the role

The Health Promotion Board's Chief Data Officer's Office (CDOO) oversees the organisation's data strategy, governance, engineering and analytics/AI capabilities. As a key member of the Data Science & Analytics (DSA) department within CDOO, you will work with data scientists and business analysts across HPB and WOG agencies (e.g. GovTech) and with external partners (public healthcare institutions, academics and technology players) to co-develop and deploy GenAI (e.g. digital twins) and classical machine learning models.

Key responsibilities

• Work with big data from real-world sources such as intra-minute heart rate data from wearables, meal logging and sports participation data from apps like Healthy 365, and health sector data such as the Healthier SG Admin Repository.
• Facilitate data feature engineering and AI use cases.
• Strengthen analytics rigour and expand data science applications to deliver AI-powered productivity tools (chatbots, automated workflows) and predictive models for personalised health interventions.

Required profile

• Bachelor, Master or PhD in AI, Data Science, Analytics, Computer Science, Computer Engineering or Information Systems from a recognised university.
• At least 1-3 years of hands-on data science experience developing and deploying machine learning models in production, including cloud-based analytics platforms and tools (e.g. Microsoft Azure, Spark ecosystems).
• Professional certifications in data science, ML engineering or business analytics from accredited bodies are acceptable for graduates from other disciplines.
• Ability to manage multiple complex projects in agile, matrix environments, with strong problem-solving, negotiation and communication skills, and experience presenting to senior leadership and external stakeholders.
• Demonstrated success linking data science capabilities to business outcomes, and a passion for digital health and healthcare.

Required skills

• Python, SQL, R, PySpark for model development
• Cloud-based analytics platforms and tools (e.g. Microsoft Azure, Spark)

Successful candidates will be offered a 2-year contract.