Data Scientist â 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
⢠Bachelorâs 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 â 5:30 PM
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