MAS
Data Analytics & Engineering
SeniorData/DataScientist(Contract)
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optimal for Senior candidates.
“Senior Data/Data Scientist (Contract) at MAS. Skills: Data Science, Machine Learning, Statistical Analysis, Python. Lead advanced data science projects. Develop AI/ML products”
What You'll Achieve.
generate business value; deliver business value; successful product delivery
Industry & Context.
refine problem statements to solve challenges; recommend solutions for complex problems; analyse business problems
2-year contract role, medical declaration, undergo further assessment
What They're Looking For.
Must Have
5 years relevant working experience, data science, machine learning, statistical analysis, Python, data wrangling, advanced analytical techniques, statistical techniques, artificial intelligence, machine learning techniques, Agile frameworks, cloud computing concepts, analyse business problems, develop effective solutions, product management, go-to-market strategies, lifecycle management, continuous learning
Nice to Have
Generative AI frameworks, Agentic AI frameworks, frontend frameworks, cloud application architecture
What You'll Do.
Lead advanced data science projects
Develop AI/ML products
Build web applications
Conduct business analysis
Manage full product lifecycle
How You'll Work.
Team & Collaboration
Collaborate on cloud application architecture; coordinating with cross-functional teams; collaborate across diverse teams and stakeholders
Communication Scope
Excellent communication skills
Process & Methodology
Agile methodologies for project delivery, roadmap development, market launch
Full Job Description
**[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 machi
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