Data Scientist (Project Lead)

Roles & Responsibilities

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

Tell employers what skills you have

Communication
Liaising with cross functional teams
Technical Analysis
Industry Stakeholders
Agile Project Management
End to End Solution Development
AWS
Project Scope
Mathematics
requirements from stakeholders
Computer Science
Stakeholder Engagement
Potential Risks
Production Deployment
GCP
Deployment