Were looking for an experienced Data Science & AI professional who can bridge advanced technical work with strong governance and risk control. Youll help modernise and automate our controls frameworks, apply analytics and machine learning to improve how we govern data, cloud, and AI, and collaborate with multiple teams to deliver high-impact solutions.
Job Description
- Bring a risk-aware mindset to all things Data, Cloud, and AI interpreting policies and frameworks and embedding them in solutions.
- Design, develop, and optimise AI/ML models, ensuring accuracy, scalability, and performance.
- Establish best practices for model evaluation, testing, and upgrades, with a focus on responsible and ethical AI.
- Modernise and automate governance controls by applying advanced analytics and AI/ML techniques.
- Partner with data engineers, software developers, and subject matter experts to integrate AI/ML solutions seamlessly.
- Collaborate with business stakeholders to identify opportunities, define requirements, and clearly communicate risks, benefits, and controls.
- Deliver end-to-end solutions following SDLC standards including data integration, application security, and scalable design.
- Stay current on developments in data science, machine learning, and AI continuously improving the way we work.
Requirements
- A Masters degree in Data Science, Computer Science, Information Systems, Economics, Operations Research, or a related field.
- 10+ years of relevant experience in data and analytics roles.
- Deep expertise in machine learning algorithms, statistical modelling, and deep learning.
- Hands-on experience building and managing model pipelines for testing, training, and deployment.
- Familiarity with cloud platforms (AWS, GCP, or Azure) and MLOps tools.
- Ability to handle complex structured, semi-structured, and unstructured data.
- Proven ability to evaluate models, apply responsible/ethical AI frameworks, and implement controls to manage AI risk.
- Excellent collaboration and communication skills you can work effectively with both technical and non-technical stakeholders.
- Working knowledge of SDLC standards, data integration, application security, and scalable design principles.
Those who are keen for the role and would like to discuss the opportunity further, please click 'Apply Now' or email Kin Long at [Confidential Information] with your updated CV.
Only shortlisted candidates will be responded to, therefore if you do not receive a response within 14 days, please accept this as notification that you have not been shortlisted.
Kin Long Fok
Morgan McKinley Pte Ltd
EA Licence No: 11C5502 | EAP Registration No: R2095054
