Editorial summary

The company is seeking a Data Scientist for a project-based role in the central area, with the potential to convert to a permanent position. The role involves end-to-end project delivery, stakeholder engagement, and aligning data science and AI initiatives with business objectives. Candidates should have experience in data science or AI projects, with strong leadership and communication skills. The position offers a salary of SGD 6,000.

This summary is AI-generated and may contain inaccuracies. Please refer to the full job description below.

Job description

[This job id 25974 first appeared in Job-Q.com on 18 Aug 2026]

We are hiring and the details of the position are:

Job title: Data Scientist (Convertible to perm role, Data Science/AI project experience, Central area)
Office Location: Marina One

Core Focus Areas:

• End-to-End Delivery Leadership: Managing the full project lifecycle from initial problem definition, scoping, and milestone tracking to user testing, production deployment, and project closure.
• Stakeholder Engagement & Vision Alignment: Engaging directly with business stakeholders to understand pain points, shape project goals, and communicate complex outcomes in a business-friendly manner.
• Business-to-Technical Translation: Converting high-level business vision and challenges into precise project scopes, actionable tasks, clear deliverables, and defined success criteria.
• Cross-Functional Collaboration: Partnering closely with Technical Leads, Data Scientists, and Engineers to ensure proposed solutions are technically feasible and aligned with business needs.
• Risk Management & Governance: Proactively identifying and mitigating project risks, issues, and dependencies while ensuring required documentation, approvals, and operational handovers are completed.

Job Responsibilities:

Project Strategy & Business Requirements Elicitation:

• Engage directly with business stakeholders across various industry domains to deeply understand their pain points, operational challenges, and strategic objectives.
• Shape project goals and translate complex, high-level business challenges into clearly defined project problem statements, scopes, deliverables, and success criteria.
• Work closely with Technical Leads, Data Scientists, Engineers, and Developers to validate that proposed AI/ML solutions are technically feasible and structurally aligned with client requirements.

End-to-End Delivery & Execution Management:

• Lead end-to-end Data Science and AI projects, taking full ownership of problem definition, planning, progress tracking, resource coordination, and delivery.
• Adapt and apply modern project management methodologies (e.g., Agile, Scrum) tailored to the unique fl ow of AI and data science delivery.
• Guide solutions seamlessly through all maturity stages: from initial prototype and validation phases to user testing, production readiness, and official release.

Risk Management & Governance:

• Actively identify, track, and manage project risks, issues, assumptions, and cross-team dependencies, escalating critical matters appropriately to ensure timeline integrity.
• Manage required project governance, ensuring all essential documentation, formal approvals, and stakeholder sign-offs are obtained throughout the project lifecycle.

Stakeholder Communication & Value Articulation:

• Present project progress, technical findings, and final outcomes in a clear, accessible, and business-friendly manner to non-technical stakeholders.
• Continuously gather stakeholder feedback throughout the delivery cycle to refine project direction and maintain strong organizational alignment.
• Manage stakeholder expectations, facilitate cross-departmental alignment, and build consensus between business and technical teams.

Operational Handover & Project Closure:

• Coordinate smooth, formal handovers to business-as-usual (BAU), support, or operational teams following official release to ensure long-term solution sustainability.
• Conduct formal project closures, capturing key learnings and ensuring all technical and operational handshakes are completed smoothly

Job Requirements:

• Minimum Bachelor’s degree in Science, Technology, Engineering, or Mathematics (STEM).
• Minimum 3+ years of progressive experience as a Technical Business Analyst, Technical Project Manager, Technical Product Owner, or in a similar delivery role supporting AI, data science, or data-driven products.
• Proven track record of managing the full AI or data science project lifecycle—from ideation and problem definition through development, testing, production deployment, and operational handover.
• Strong practical knowledge of project management methodologies, including Agile and Scrum, with demonstrated ability to adapt them specifically to AI/ML delivery.
• Familiarity with major cloud platforms and AI infrastructure (e.g., Google Cloud Platform (GCP), Amazon Web Services (AWS), or Microsoft Azure).
• Highly proactive and accountable mindset, demonstrating strong ownership and the ability to operate independently with minimal supervision in a fast-paced environment.
• Exceptional stakeholder management, presentation, and communication skills, with a proven ability to bridge the gap between business leaders and technical engineering teams.

Interested applicants please send your resume to  and look for:

Rita Shi Tianhe

Recruit Express Pte Ltd

EA License No: 99C4599

EA Registration Number: R26162019

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