Data Scientist (Project Lead - Data Science/AI)

JOB OVERVIEW:

The Data Scientist serves as the critical bridge between strategic business vision and successful AI delivery. This role is dedicated to leading end-to-end Data Science and AI projects by translating complex business challenges, pain points, and requirements into clearly defined project objectives, actionable plans, and high-impact solutions. By balancing strong business acumen with technical delivery leadership, the incumbent manages project risks, aligns cross-functional technical teams, and guides solutions across the entire project lifecycle—from ideation and prototyping to production deployment and official release. Ultimately, this role ensures seamless stakeholder alignment, high-quality execution, and the successful handover of scalable AI initiatives to operational teams.

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

Period:

• 1-year contract (Convertible to permanent based on performance)

Location:

• Marina Bay

Working hours:

• Mon to Fri: 8.30am - 5.30pm

Salary:

• $5,000 - $6,500 + 1 month completion bonus

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 proble definition through development, testing, production deployment, and operational handover.
• Strong practical knowledge of project management methodologies, including Agile and Scrum, wit demonstrated ability to adapt them specifically to AI/ML delivery.
• Familiarity with major cloud platforms and AI infrastructure (e.g., Google Cloud Platform (GCP), Amazo Web Services (AWS), or Microsoft Azure.
• Highly proactive and accountable mindset, demonstrating strong ownership and the ability to operat 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, kindly email your detailed resume (MS Word format is preferred):

[email protected] (Reg No: R1332758)

Please ensure that applications sent through email are no bigger than 1Mb.

We thank all applicants for your interest but regret to inform that only shortlisted candidates would be notified.

Success Human Resource Centre Pte Ltd (EA License Number: 97C4832)

160 Robinson Road, #13-07/08/09 SBF Center, Singapore 068914
T: [6337 3183](tel:6337 3183) | W: www.successhrc.com.sg