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.
Main duties:
- Define and implement the AI strategy and product roadmap in relation to the Group strategy, and provide input into the broader strategic direction of company 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
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 Requirement:
- 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.
Desired Skills:
- Statistical Analysis
- Mathematical foundations
- Cloud platform
- Computer science
- Azure
Desired Work Experience:
- 5 to 10 years
Desired Qualification Level:
- Masters
About The Employer:
Our client is in the ICT industry.