Data Scientist (Project Lead)

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Description

Data Scientist – AI/ML Project Lead 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 tea

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