Lead Data Scientist

Company Description

Deloitte is the largest private professional services network in the world. Every day, approximately 312,000 professionals in over 150 countries affirm their commitment to a single vision: to be the standard of excellence, whilst working towards one purpose – to make an impact that matters. Click here to read more about Deloitte.

About the division 

Innovation, transformation, and leadership can happen in many ways. At Deloitte, our knack for solving clients’ most intricate problems is unparalleled. We provide strategy and execution, from business and technology perspectives, to help lead in the markets where our clients compete.

Are you a game changer? Do you believe in bringing an advantage at every level in everything you do? You might be one of us.

Deloitte consulting is expanding, focusing on growing our impressive teams across our spectrum of services. We're seeking savvy, accountable, innovative professionals with technical expertise and deep industry insights. The amalgamation of our six areas of expertise, our well-established industry structure, and our comprehensive signature solutions is a singular offering never witnessed before on the African continent.

Job Description

Manage multiple projects within the Data Science and Data Engineering realm. Engage with Stakeholders and Businesses, manage end-to-end delivery to clients by leading teams of Data Engineers and Data Scientists.

Qualifications

Bachelor’s Degree in Data Science, Computer Science, Engineering or other related fields.

Additional Information

• Execute and manage Data Engineering and Data Science projects.
• Create intelligent, scalable, and automated solutions using Data Science and Data Engineering teams.
• Formulate a Business Intelligence roadmap; prioritize business insight requests to balance tactical and strategic information needs.
• Design and manage end-to-end Data Science and Data Engineering Solutions.
• Collaborate with Technology teams on the development of new data capabilities & architecture, defining requirements and priorities.
• Develop, continually refine, and implement an efficient framework to identify, organize, and structure the team to deliver quality products/services to clients.
• Support the development of product specification documents, the scope of Work documents, Code of Conduct documents in line with project needs where necessary.
• Implement best practice pipeline framework adhering to (KDD,CRISP) and deploy the use cases identified in products & services using ML techniques
• Establish and meet the necessary SLAs and TAT for requirements.
• Understand business processes, risks, and controls.
• Comprehend and frame client problem statements and propose a data analytics or digital solution to meet client requirements.
• Utilize industry technologies to apply data analytics solutions including data analysis tools; business intelligence solutions; data science and data engineering tools.
• Apply SDLC methodologies to solution developments.
• Work with minimal supervision.
• Manage multiple engagements and projects simultaneously.
• Excellent interpersonal skills.
• Management and leadership skills.
• Possess problem-solving skills.
• Eagerness and willingness to mentor and train junior members of the team.
• Prior Business Engagement and Stakeholder Management experience.