With over 100 years of rich history and strongly positioned as a local bank with regional and international expertise, a career with our family offers the opportunity to be part of this exciting growth journey, to reset our future and shape our destiny as a proudly African group.
10-15+ years of experience in Data Science, Advanced Analytics, AI, Machine Learning, or related fields. 5-8+ years in a leadership role managing data science teams and delivering enterprise-scale analytics solutions. Proven experience within: Insurance (preferably short-term/direct insurance)Financial Services. Digital platforms or customer-centric businessesThe role will be responsible for building and operationalising machine learning and AI models, the Head: Data Science drives experimentation and innovation across telematics, risk modelling, and customer decisioning (including customer segmentation and client lifetime value). The role positions Absa Insurance at the forefront of digital insurance innovation and is explicitly distinct from Management Information and reporting functions. Master's level in Data Science, Statistics, Mathematics, Computer Science, Engineering.• MBA or equivalent business qualification.
• Professional certifications such as:
o AWS Certified Machine Learning
o Microsoft Azure AI Engineer
o Google Professional Machine Learning Engineer
o SAS Advanced Analytics Certification
10-15+ years of experience in Data Science, Advanced Analytics, AI, Machine Learning, or related fields. 5-8+ years in a leadership role managing data science teams and delivering enterprise-scale analytics solutions. Proven experience within: Insurance (preferably short-term/direct insurance)Financial Services. Digital platforms or customer-centric businessesThe role will be responsible for building and operationalising machine learning and AI models, the Head: Data Science drives experimentation and innovation across telematics, risk modelling, and customer decisioning (including customer segmentation and client lifetime value). The role positions Absa Insurance at the forefront of digital insurance innovation and is explicitly distinct from Management Information and reporting functions. Master's level in Data Science, Statistics, Mathematics, Computer Science, Engineering.• MBA or equivalent business qualification.
• Professional certifications such as:
o AWS Certified Machine Learning
o Microsoft Azure AI Engineer
o Google Professional Machine Learning Engineer
o SAS Advanced Analytics Certification
The role will be responsible for building and operationalising machine learning and AI models, the Head: Data Science drives experimentation and innovation across telematics, risk modelling, and customer decisioning (including customer segmentation and client lifetime value). The role positions Absa Insurance at the forefront of digital insurance innovation and is explicitly distinct from Management Information and reporting functions.
Telematics
Risk Modelling
Customer Decisioning
Education
Bachelor`s Degrees and Advanced Diplomas: Physical, Mathematical, Computer and Life Sciences (Required)
Absa Bank Limited is an equal opportunity, affirmative action employer. In compliance with the Employment Equity Act 55 of 1998, preference will be given to suitable candidates from designated groups whose appointments will contribute towards achievement of equitable demographic representation of our workforce profile and add to the diversity of the Bank.
Absa Bank Limited reserves the right not to make an appointment to the post as advertised
Absa Group Limited (Absa) has forged a new way of getting things done, driven by bravery and passion, with the readiness to realise growth on the African continent and beyond.
We’re a truly African brand, inspired by the people we serve in Botswana, Ghana, Kenya, Mauritius, Mozambique, Seychelles, South Africa, Tanzania, Uganda, and Zambia. We also have representative offices in China, Namibia, Nigeria and the United States, as well as securities entities in the United Kingdom and the United States, along with technology support colleagues in the Czech Republic.
