Manager, Data Scientist - Group Internal Audit job opportunity at AIA Group.



DatePosted 4 Days Ago bot
AIA Group Manager, Data Scientist - Group Internal Audit
Experience: Highly Experienced
Pattern: full-time
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Data Scientist - Group Internal Audit

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degreeBachelor's (B.A.)
loacation Singapore, SG-AIA Group Office, Singapore
loacation Singapore, SG-..........Singapore

At AIA we’ve started an exciting movement to create a healthier, more sustainable future for everyone. As pioneering innovators for over 100 years, we’re now transforming our organisation to be faster, simpler and more connected. Because we want to be even better equipped to develop digital solutions and experiences that help more people live Healthier, Longer, Better Lives. To get there, we need people with tech/digital/analytics expertise and passion to help develop positive, sustainable change through digitally enhanced experiences that will impact the lives of millions of people and create a healthier future for everyone. If you believe in developing a better tomorrow, read on.  About the Role The individual will: • Develop and implement advanced analytics and AI solutions across the GIA Group. • Responsible for driving strategic AI initiatives within GIA while delivering customised solutions tailored to the needs of individual Local Business Units (LBUs). • Design, deploy, and maintain scalable, production-ready machine learning and Generative AI (GenAI) models across the GIA Group that enhance audit efficiency and effectiveness. Roles and Responsibilities: Lead AI and Data Science Projects: Drive end-to-end delivery of AI and machine learning initiatives across the GIA Group, ensuring alignment with GIA objectives Collaborate with LBU t or specialist audit teams to develop and implement tailored AI solutions for individual LBUs, addressing unique business challenges Identify opportunities to help and work across the business units (within GIA and with the other departments) to optimise the audit operational processes through AI Establish and maintain minimum standard for model deployment, monitoring, and lifecycle management Conduct user testing, gather feedback, and iterate on AI solutions Develop the GIA DA Specialists’ capabilities and support them in building data analytics expertise within local business units and specialised audit teams Keep abreast of emerging AI technologies and trends, providing strategic recommendations to enhance the GIA’s analytics capabilities Ensure all AI solutions adhere to regulatory, ethical, and data governance standards Prepare GIA AI projects update to management and Audit Committee Minimum Job Requirements: Experience/Qualifications Bachelor or master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field Eight years of experience in building data science/GenAI solutions related role preferably in audit, risk, compliance department, or control functions Proven track record of leading large-scale AI projects and delivering production-ready solutions Strong experience with GenAI workflows, MLOps/LLMOps, and CI/CD will be an advantage Knowledge Proficiency in Python, SQL skills, and familiarity with AI frameworks and tools Expertise in MLOps tools and practices Strong understanding of AI/ML concepts and Generative AI frameworks Strong understanding of cloud platform (Azure) and Databricks will be an advantage Other skills Superior communication, presentation, and interpersonal skills, with the ability to influence stakeholders at all levels Excellent analytical skills Strong project management skills will be preferred Self-motivated and good team player who is committed to achieve results Ability to adapt to changes quickly and multi-task Exhibit curiosity and proactivity, continuously exploring emerging tools, methods, and ideas to foster innovation and transformation Build a career with us as we help our customers and the community live Healthier, Longer, Better Lives. You must provide all requested information, including Personal Data, to be considered for this career opportunity. Failure to provide such information may influence the processing and outcome of your application. You are responsible for ensuring that the information you submit is accurate and up-to-date.

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