[What the role is]
MAS’ Data Analytics & Engineering Division (DAE) is a specialised team within the Data Technology and Architecture (DTA) Department within the Technology Group (TG) in MAS.DAE’s primary purpose is to partner internal MAS functions to generate business value through the enablement of effective and efficient use of data driven insights for business value creation. This is achieved through effective strategies, strong in-house development capability, standardization of processes, tooling enablement, establishing a product development mindset, promoting knowledge sharing within MAS and complementary external collaborations.
[What you will be working on]
Lead advanced data science projects using sophisticated techniques to uncover insights, refine problem statements to solve challenges and deliver business value
Develop and implement AI/ML products with machine learning models, including Generative and Agentic AI frameworks, for specific business domains
Build web applications powered by machine learning and generative AI models, transitioning from proof-of-concept to production
Collaborate on cloud application architecture, contribute design and implementation
Conduct business analysis to recommend solutions for complex problems, utilising Agile methodologies for project delivery
Manage the full product lifecycle, from roadmap development to market launch, coordinating with cross-functional teams to ensure successful product delivery
[What we are looking for]
Minimum of 5 years relevant working experience in data science, machine learning, and statistical analysis
Proficiency in Python with familiarity in frontend frameworks
Strong understanding of complex machine learning algorithms, including Generative and Agentic AI frameworks, and their practical implementation
Extensive experience in data wrangling, advanced analytical techniques, and statistical techniques
Current knowledge in artificial intelligence and machine learning techniques and familiarity with relevant tools, frameworks, and open-source libraries
Familiarity with Agile frameworks and cloud computing concepts and services
Demonstrated ability to analyse business problems and develop effective solutions
Experience in product management, including go-to-market strategies and lifecycle management
Excellent communication skills with the ability to collaborate across diverse teams and stakeholders
Commitment to continuous learning and staying updated with the latest developments in data science and machine learning
This is a 2-year contract role. All applicants will be notified on whether they are shortlisted or not within 4 weeks of the closing date of this job posting.
As part of the shortlisting process for this role, you may be required to complete a medical declaration and/or undergo further assessment.
Skills Required
- Minimum of 5 years relevant working experience in data science, machine learning, and statistical analysis
- Proficiency in Python with familiarity in frontend frameworks
- Strong understanding of complex machine learning algorithms including Generative and Agentic AI frameworks
- Extensive experience in data wrangling and advanced analytical techniques
- Knowledge in artificial intelligence and machine learning techniques
- Familiarity with Agile frameworks and cloud computing concepts
- Experience in product management including go-to-market strategies
- Excellent communication skills
What We Do
The Singapore Economic Development Board (EDB) is a government agency responsible for strategies that enhance Singapore’s position as a global centre for business, innovation, and talent. It undertakes investment promotion and industry development.
