[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 valueDevelop and implement cutting-edge machine learning models, including generative AI, for specific business domainsBuild web applications powered by machine learning and generative AI models, transitioning from proof-of-concept to productionCollaborate on cloud application architecture, contribute design and implementationConduct business analysis to recommend solutions for complex problems, utilising Agile methodologies for project deliveryManage 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 analysisProficiency in Python with familiarity in frontend frameworksStrong understanding of complex machine learning algorithms, including generative AI, and their practical implementationExtensive experience in data wrangling, advanced analytical techniques, and statistical techniquesCurrent knowledge in machine learning techniques and familiarity with relevant tools and open-source librariesFamiliarity with Agile frameworks and cloud computing concepts and servicesDemonstrated ability to analyse business problems and develop effective solutionsExperience in product management, including go-to-market strategies and lifecycle managementExcellent communication skills with the ability to collaborate across diverse teams and stakeholdersCommitment to continuous learning and staying updated with the latest developments in data science and machine learningAs part of the shortlisting process for this role, you may be required to complete a medical declaration and/or undergo further assessment.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.