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Data Science Programme Lead

2 months ago


Johannesburg, Gauteng, South Africa E-Merge Full time

Job Summary

E-Merge is seeking a highly skilled Data Science Programme Lead to join our team in Johannesburg. As a Data Science Programme Lead, you will be responsible for creating and managing stored procedures, functions, views, and triggers for efficient data processing and generating financial data required for revenue services and financial authorities.

Key Responsibilities

  • Project Management: Proven experience in managing and coordinating projects, ensuring timely completion and meeting deadlines.
  • Team Coordination: Assist the Data Science Lead in coordinating the activities of the data science team, ensuring that projects are on track and deadlines are met.
  • Task Allocation and Progress: Oversee the allocation and progress of tasks within the team, ensuring that each team member is effectively contributing to project goals.
  • Administrative Support: Provide administrative and logistical support for ongoing projects, including meeting preparation, documentation, and follow-up on action items.
  • Communication: Facilitate clear and effective communication between team members, stakeholders, and external partners to ensure alignment on project objectives and deliverables.
  • Reporting: Prepare and maintain detailed reports on project status, team performance, and any potential risks or issues that may arise.
  • Process Improvement: Identify opportunities to streamline processes and improve the efficiency of project execution within the Data Science Lab.
  • Stakeholder Liaison: Liaise with internal and external stakeholders.

Qualifications and Experience

  • Education: Bachelors Degree in Computer Science, Information Technology, or a related field.
  • Experience: 10 years of experience in a similar role within a data science, analytics, or technology-focused environment. Experience in the healthcare or insurance industry is a plus.
  • Technical Skills: A solid understanding of data analytics and familiarity with tools such as SQL, Python, or R is beneficial. Experience and keen interest in ML, LLMs, and GenAi.