Data Scientist (Project Lead - Data Science/AI) #IJO

Recruit Express Pte Ltd.; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Recruit Express Pte Ltd in Singapore invites a Data Scientist (Project Lead) to steer AI/Data Science projects from problem framing to production. Based at Marina One, you will lead cross-functional teams, manage stakeholders, and translate business goals into clear technical plans, ensuring on-time delivery and governance.

The ideal candidate holds a STEM degree, 3+ years in AI project delivery, and thrives in fast-paced environments.

Qualifications

• Minimum Bachelor’s degree in Science, Technology, Engineering, or Mathematics (STEM).
• Minimum 3+ years of progressive experience in delivering AI/data science projects.
• Proven track record managing full AI/DS lifecycles from ideation to production handover.
• Strong knowledge of Agile and Scrum; adapt them for AI/ML delivery.
• Familiarity with cloud platforms (GCP/AWS/Azure) and AI infra.
• Proactive, accountable with ability to work independently in a fast-paced environment.
• Exceptional stakeholder management, presentation, and communication skills.

Responsibilities

• Lead end-to-end Data Science and AI projects with full ownership of scope and delivery.
• Collaborate with Technical Leads, Data Scientists, and Engineers to ensure feasibility.
• Translate business goals into precise project plans, milestones, and success criteria.
• Manage risks, issues, and dependencies with formal governance and sign-offs.
• Present findings and outcomes to non-technical stakeholders in business terms.
• Coordinate handover to BAU/support after release and ensure long-term sustainability.

Skills

Project Leadership

Stakeholder Management

AI/ML Delivery

Agile/Scrum

Communication

Education

Bachelor's degree in STEM

Tools

GCP

AWS

Azure

Job description

Recruit Express will never request for your Singpass details in our recruitment process. Please contact us at 6732 6006 or email to [e-mail] if you are unsure if it is a scam.

Data Scientist (Project Lead - Data Science/AI) #IJO

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.

Duties and 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 defi ned 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 refi ne 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

Qualifications and Experiences:

• 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.

Joanne Loo Sze Min

EA Personnel Registration Number: R26160686

Recruit Express Pte Ltd

Company Reg No. 199601303W

EA License No. 99C4599