Job Description
Sanlam’s technology and data capability enables the Group’s transformation into a modern, digital-first and AI-powered financial services organisation. Our teams build, run and scale the platforms that power Sanlam, including cloud, data, AI and digital engagement capabilities, while delivering the change needed to grow Africa’s largest insurance group towards its 2030 ambition.We reimagine how work gets done, using technology, data and AI to help Sanlam grow, protect clients’ financial outcomes and enable them to live with confidence.Data, AI and Engineering Academy GraduateAn exciting opportunity to join a 13-month accelerated development program is available for soon-to-be or recent graduates to join the Sanlam Data, AI and Engineering Academy.We are seeking bright and curious minds who are passionate about solving real-world problems through technology, engineering, data and artificial intelligence alongside leading technology practitioners from across the group, including FinTech, Financial Markets, Risk and Savings, Distribution, Investments, and core platform teams. Being selected for a Data, AI and Engineering Academy Graduate position will entail:Permanent employment from the onset.Market-related benefits and rewards.Participation in a structured 13-month accelerated development program.Hands-on experience in the largest and most diverse non-banking Financial Services organisation in Africa (banking and rewards to Launch in 2027).Exposure to leading-edge technologies and the opportunity to apply your skills in the process of designing and launching new capabilities that impact Sanlam’s core metrics and solve our biggest problems and client / intermediary needs.
Responsibilities + Skills
Education
You are passionate about all things related to data: finding patterns in data, using data to build insight, aid decision-making and process action, and to create real commercial value.You want to establish strong foundations in data management, data engineering and AI-ready data products, in a fast-moving and complex enterprise data domain.Youre interested in tackling complex data problems, and learning how to apply AI, ML, predictive analytics and agentic AI to deliver unique insights, prompts and direction.
Experience