Deloitte IT / Telecom Jobs in Johannesburg
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At Deloitte, our Purpose is to make an impact that matters for our clients, our people, and society. This is the lens for which our global strategy is set. It unites Deloitte professionals across geographies, businesses, and skills. It makes us better at what we do and how we do it. It enables us to deliver on our promises to stakeholders, while creating the lasting impact we seek.
Deloitte offers career opportunities across Audit & Assurance (A&A), Tax & Legal (T&L) and our Consulting services business, which is made up of Strategy, Risk & Transactions Advisory (SR&T) and Technology & Transformation (T&T).
Job Description
- Manage Multiple Projects within Data Science and Data Engineering space. Perform Stakeholder and Business Engagement and manage the end-to-end delivery to client by leading teams of Data Engineers and Data Scientists.
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Responsibilities
- Deliver and manage the execution of Data Engineering and Data Science projects.
- Produce intelligent, scalable, and automated solutions by leveraging Data Science and Data Engineering teams.
- Develop a Business Intelligence roadmap; prioritize business insight requests to balance the tactical and strategic information needs.
- Design and manage the end-to-end Data Science and Data Engineering Solutions.
- Work with Technology teams on the development of new data capabilities & architecture to define requirements and priorities.
- Develop, continuously improve, and execute an efficient framework to identify, organize and structure the team to deliver quality products/services to client.
- Support where required in developing product specification documents, scope of Work documents, Code of Conduct document with regards to project needs.
- Implement best practice pipeline framework adhering to (KDD,CRISP) and deployment of use cases identified in products & services by using ML techniques
- Establish and meet required SLAs and TAT for requirements
- Ability to understand business processes, risk and controls.
- Ability to understand and frame client problem statements and put forward a data analytics or digital solution to meet client requirements.
- Ability to utilize industry technologies to apply data analytics solutions including data analysis tools; business intelligence solutions; data science and data engineering tools.
- Ability to apply SDLC methodologies to solution developments
- Ability to work with minimal supervision.
- Ability to manage multiple engagements and projects simultaneously.
- Excellent interpersonal skills.
- Management and leadership skills.
- Problem-Solving Skills.
- Drive a willingness to mentor and train junior members of the team.
- Prior Business Engagement and Stakeholder Management experience.
Qualifications
- Bachelor’s Degree in Data Science, Computer Science, Engineering or other related Degrees
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