CORE DESCRIPTION

Responsible to execute the strategic roadmap and create value through delivery of internal and external artificial intelligence solutions and products. Oversight of a portfolio of data science projects, providing strategic and technical guidance on solving a variety of use cases across the Group and for its customers. Develop machine learning and deep learning competencies and manage and develop a ‘full-stack’ team of data science specialists. The role’s focus will be on NLP, both text and speech, but projects can span Computer Vision and other domains.

JOB RESPONSIBILITIES

  • Define and implement the AI strategy and product roadmap in relation to the TKG strategy, and provide input into the broader strategic direction of Strategic Insights
  • Cultivate and manage working relationships with a variety of stakeholders to support the design and delivery of data science projects and solutions
  • Develop business cases for new solutions or products, and establish the value for existing projects
  • Determine the most appropriate data science tools/ approaches for specific projects
  • Execute end to end data science projects and product development processes
  • Engage with our data engineering team to ensure any AI products or solutions are managed
  • Identify and manage resource requirements including people and systems
  • Lead and develop a team of data scientists and provide hands on guidance
  • Establish, document and champion data science best practices in the team
  • Help Strategic Insights become thought leaders in the areas of data science and artificial intelligence
  • Stay abreast of new developments and solutions in the market to ensure we don’t fall behind
  • Contribute to our agile way of work and our innovation culture
  • Consistent documentation of all implemented systems and processes

CORE COMPETENCIES

FUNCTIONAL KNOWLEDGE
Statistical and mathematical foundations; Data science and analytics frameworks (NLP and Computer Vision); Programming (Python, R, Git, Linux); Cloud computing (GCP preferable); Big Data (Cloudera, Hadoop, Spark)

FUNCTIONAL SKILLS
Strategic thinking; Innovative thinking; Communication (written and verbal); Stakeholder management; Planning & organizing (Miro, Confluence & Jira); Research & development

ATTITUDES/ LEADERSHIP COMPETENCIES
Business Leadership; Market Leadership; Personal Leadership; Problem solver; Takes initiative; Hard working; Can do attitude; Innovative thinker; Works well in teams; Works well under pressure; Relishes dynamic/ changing environment; Time management

MINIMUM PERSON REQUIREMENTS

REQUIRED CERTIFICATION/PROFESSIONAL REGISTRATION
Data science and cloud certifications will be advantageous (GCP, Azure, AWS).

QUALIFICATIONS
Post graduate degree in Computer Science, Mathematics, Statistics, Engineering, or a related field (NQF level 7); OR a qualified Actuary with data science experience. A Master’s degree (NQF level 9) will be an advantage

EXPERIENCE
7 years of work experience in the field of data science with at least 2 years having been on management/ specialist level. Experience in ICT/ Telecommunications will be an advantage.

SPECIAL REQUIREMENTS

Experience in Natural Language Processing. Strong statistical & mathematical foundations. Experience with Google Cloud Platform.
Expected to stay abreast of new data science developments and to put them into practice.

KEY STAKEHOLDERS (INTERNAL/EXTERNAL) KEY DECISION-MAKING AUTHORITY

KEY METRICS

  • Do you have a degree in Computer Science, Mathematics, Statistics, Engineering OR a Qualified Actuary Degree with Data Science
  • Indicate you qualification – without the relevant qualification, you cannot be considered
  • Must have at least 7 years working experience with Data Science – 2 years at least in a management role / level (how many people reporting into him / her)
  • Must highlight their experience as a Data Scientist

Must have cloud certification (GCP, Azure, AWS) – non negotiable

Desired Skills:

  • Lead data scientist
  • data science
  • IT
  • GCP
  • data migration
  • cloud based
  • Azure
  • AWS

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