Data Scientist

5 days ago

Singapur, Singapore User Experience Researchers Pte Ltd (Singapore) Full time

Data Scientist (AI Governance and Implementation) The Data Scientist will play a key role in advancing the organisation’s AI strategy by standardising implementation practices, developing governance frameworks, and driving responsible AI adoption across business units. You will collaborate with cross‑functional teams to create playbooks, ensure compliance with regulatory standards, and align AI initiatives with organisational goals. This role involves close partnership with internal stakeholders and external collaborators to accelerate AI integration and ensure ethical, efficient, and scalable deployment of AI technologies. Key Responsibilities Lead the documentation and standardisation of AI implementation practices as part of board‑wide AI strategy implementation, including creating playbooks and guidelines for different use cases across the organisation. This involves collaborating with various business units to capture learnings and establish common frameworks for AI adoption. Develop and implement AI governance guidelines that align with evolving industry standards and regulatory requirements for AI. This involves working with legal, risk, and compliance teams to establish protocols for responsible AI development and deployment, including data privacy, ethical considerations, and risk management frameworks. Build and maintain relationships with key stakeholders across the organisation to understand their AI needs and challenges, ensuring alignment between technical capabilities and business requirements. This includes regular engagement with key technical and business stakeholders, as well as senior management on AI strategy implementation. Work hand‑in‑hand with DSA teams AI Partnership Lead to execute collaboration projects with external partners to accelerate AI adoption. You will work closely with DSA, the rest of CDOO, the Chief Information Officers Office (CIOO), Client Business Divisions, and Technical Professionals. Required Qualifications Bachelor / Master / PhD in Analytics, AI / Data Science, Computer Science, Computer Engineering or Information Systems with major in business analytics and / or data science from a recognised university. Professional certifications in business analytics / data science / ML engineering from accredited professional bodies coupled with a few years of related working experience for graduates from other disciplines, are also acceptable for the position. Minimum 1 year of experience in AI governance, and at least 1 year in AI/ML implementation. Adaptive in a fast‑paced matrix environment, overseeing multiple projects concurrently within an agile environment. Possesses strong problem resolution, attention to detail and effective communication skills to manage and deliver complex projects involving internal and external stakeholders. Strong understanding of AI technologies, frameworks, and their practical applications in business contexts. Knowledge of current AI regulations and industry best practices for responsible AI implementation is an advantage. #J-18808-Ljbffr

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