Data Scientist (Project Lead)
Flintex Consulting Pte Ltd Singapore · SGD 60K–SGD 78K/yr
Staffing and Recruiting · 11-50 employees
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About the role
Manage end-to-end AI/ML projects from initial planning and stakeholder engagement through to deployment and operational handover. Coordinate with cross-functional technical teams to ensure project milestones, timelines, and success criteria are met.
What they look for
Requirements
Requires a bachelor's degree in a STEM field and at least 3 years of experience in data science project delivery or technical project management. Candidates must possess strong stakeholder management skills and familiarity with cloud platforms and Agile methodologies.
Full description
Data Scientist – AI/ML Project Delivery
Key Responsibilities
- Manage end-to-end Data Science and AI/ML projects, from problem definition and planning through testing, deployment, and handover.
- Engage business stakeholders to understand requirements, challenges, and expected outcomes.
- Translate business needs into clear project scope, deliverables, tasks, and success criteria.
- Collaborate with Data Scientists, Engineers, Developers, and Technical Leads to deliver practical AI/ML solutions.
- Track project timelines, milestones, risks, issues, and dependencies.
- Coordinate user testing, production readiness, deployment, and operational handover.
- Present project progress, technical findings, and outcomes clearly to both technical and non-technical stakeholders.
- Maintain required project documentation, approvals, and stakeholder sign-offs.
Requirements
- Bachelor’s degree in Computer Science, Data Science, Engineering, Mathematics, or related STEM field.
- 3+ years of relevant experience in Data Science/AI project delivery, Technical Business Analysis, Technical Project Management, or similar roles.
- Experience managing AI/ML or data-driven projects from requirements through production deployment.
- Good understanding of Agile/Scrum project methodologies.
- Familiarity with cloud platforms such as AWS, Azure, or GCP.
- Strong stakeholder management, communication, and problem-solving skills.
- Able to work independently and effectively with cross-functional technical teams.
Working Hours:
Monday to Friday, 8:30 AM – 5:30 PM
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