Data Scientist (Project Lead - Data Science/AI) (Full-Time) #IAC

RECRUIT EXPRESS PTE LTD; Singapore; On-site; SGD 90,000 - 130,000; Full time

Job summary

RECRUIT EXPRESS PTE LTD in Singapore seeks a Technical Business Analyst / Technical Project Manager to lead AI and data science projects. You will define goals with stakeholders, manage end-to-end delivery, and ensure smooth handovers to BAU.

Strong Agile/Scrum experience and cloud familiarity are essential. Candidates should have a STEM degree and 3+ years in delivery roles supporting AI or data-driven products.

Qualifications

• Minimum 3+ years in Technical Business Analyst, Technical PM, or Technical PO delivery roles for AI/data projects.
• Bachelor’s degree in STEM required; strong understanding of AI/data-driven product lifecycles.
• Proven ability to manage full lifecycle from ideation to production handover.

Responsibilities

• Engage with business stakeholders to elicit strategic objectives and translate into project goals.
• Lead end-to-end AI/data science projects including planning, tracking, and delivery.
• Apply Agile/Scrum tailored to AI/ML delivery and ensure governance and approvals.
• Communicate progress and results to non-technical stakeholders clearly.
• Coordinate handover to BAU/support and document key learnings.

Skills

3+ years experience in technical roles

Agile / Scrum delivery

Education

Bachelor's degree in STEM

Tools

GCP

AWS

Azure

Job description

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 flow 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
• Any other ad-hoc duties as assigned by supervisor

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).