Data Science & AI

Role: Vice President, Data Science & AI

Location: Singapore

Opportunity Overview: Robert Walter's has an exciting opportunity for an "Data Science & AI" to join the client for a Permanent position. This role will provide exposure to a truly international and multi-cultural environment that appreciates and respects individual

Department overview:

The Chief Data Office plays a key role in defining and implementing the firm's data, cloud and AI strategy, driving change through these capabilities, enforcing data, cloud and AI governance for the firm, and elevating Organization's data culture. Governance remains a critical focus area, and the Chief Data Office, in partnership with Business and Corporate functions, is responsible for ensuring that the firm's data assets are managed in line with the firm's data management framework, policy and standards.

Role description:

• Risk and control mindset: Conversant with Data, Cloud and AI risks and ability to interpret policies and frameworks for governance.
• Good understanding of responsible AI development and emerging risks of Generative AI.
• Modernize and automation of controls frameworks: Apply advanced analytics and AI/ML techniques to enhance and automate Data, Cloud and AI controls.
• Develop and optimize AI/ML models, ensuring model accuracy, scalability, and performance.
• Model evaluation: Establish best practices and techniques for model evaluation, testing and upgrades.
• Collaborate with cross-functional teams, including data engineers, software developers, and subject matter experts, to ensure seamless integration of data science and AI solutions.
• Solution Delivery: Design, develop, and build end-to-end solutions using AI/ML models, following SDLC standards, including data integration, application security, and scalable design.
• Communication: Collaborate with business stakeholders to identify opportunities and define solution requirements. Communicate effectively with stakeholders articulating risks, benefits and controls for data, cloud and AI
• Continuous learning: Stay up to date with the latest advancements in data science, machine learning, and AI technologies, and continuously improve existing solutions.

Skills, experience, qualifications and knowledge required:

• Master's degree in Data Science, Computer Science, Information Systems, Economics, Operations Research, or a similar field of study.
• At least 10 years of relevant experience in data and analytics roles.
• Expertise in machine learning algorithms, statistical modeling, and deep learning, ensuring model accuracy, scalability, and performance.
• Hands-on experience in building and managing model pipelines for testing, training, and deployment.
• Experience with cloud platforms (AWS, GCP, or Azure) and MLOps tools
• Proficiency with handling unstructured problems, managing complex structured, semi-structured and unstructured data
• Ability to evaluate models, test for responsible/ethical AI frameworks and apply controls to manage AI risk
• Excellent collaboration and communication skills to work effectively with cross-functional teams.
• Knowledge of SDLC standards, including data integration, application security, and scalable design.

Client promotes collaboration and aims to provide a supportive and inclusive environment where all individuals can maximize their full potential.

As we are continuously hiring for all our clients in the region, we will retain your CV in our database for any other positions that may fit your profile. Therefore, please let us know if you are not agreeable to that.