<img id="photoDetail" src="https://www.discovery.co.za/gallery/template-resources/banners/general/smartpeople-recruit.jpg" style="width:1250.0px;height:301.0px"> Discovery Insure Machine Learning Engineer About Discovery Discovery’s core purpose is to make people healthier and to enhance and protect their lives. We seek out and invest in exceptional individuals who understand and support our core purpose, and whose own values align with those of Discovery. Our fast-paced and dynamic environment enables smart, self-driven people to be their best. As global thought leaders, Discovery is passionate about innovating in order to not only achieve financial success, but to ignite positive and meaningful change within our society. About Discovery Insure Discovery Insure is committed to creating a nation of great drivers through our innovative Shared-value Insurance model. Discovery Insure is South Africa’s fastest growing short-term insurance company with comprehensive products that provide protection against current and emerging risks facing clients in the motor and home insurance sectors. Vitality Drive, an internationally-recognised and award-winning programme, is a key differentiator in the market that incentivises and rewards clients for driving well. The Vitality Drive programme has been scaled to local and international markets which now include Europe and the Middle East. The company employs over 1 000 people who are committed to putting our customers and financial advisers first by providing unique and innovative solutions and cover. Key Purpose This ML Engineer is responsible for designing, building, managing, and continuously improving the operational processes that support the deployment and maintenance of actuarial, machine learning, and other decision-support models. The role involves end-to-end project planning, cross-functional collaboration with actuarial, data science, analytics, and business teams, and delivering insights into process efficiency across business areas. It also includes reporting on the design, progress, and performance of models and related business processes to drive operational excellence and informed decision-making. Areas of responsibility may include but are not limited to <ul style="margin-bottom:0.0in;margin-top:0.0px"> <li style="text-align:justify;margin:0.0in 0.0in 8.0pt 24.0px;line-height:115%;font-size:12.0pt;font-family:Aptos, sans-serif">Design and create implementation and testing processes for models in both a traditional and ML framework to ensure business decisions can be actioned quickly and effectively.</li> <li style="text-align:justify;margin:0.0in 0.0in 8.0pt 24.0px;line-height:115%;font-size:12.0pt;font-family:Aptos, sans-serif">Assist with the design and integration of traditional models and processes into cloud-based platforms like DataBricks to utilise additional functions and better performance.</li> <li style="text-align:justify;margin:0.0in 0.0in 8.0pt 24.0px;line-height:115%;font-size:12.0pt;font-family:Aptos, sans-serif">Responsible for deploying rating and logic engines using proprietary software, ensuring accurate implementation and seamless integration into production environments.</li> <li style="text-align:justify;margin:0.0in 0.0in 8.0pt 24.0px;line-height:115%;font-size:12.0pt;font-family:Aptos, sans-serif">Project planning and collaboration with actuarial, data science, underwriting, operational and system teams to ensure a smooth implementation process that reduces risks and achieves the required outcomes.</li> <li style="text-align:justify;margin:0.0in 0.0in 8.0pt 24.0px;line-height:115%;font-size:12.0pt;font-family:Aptos, sans-serif">Frequent monitoring and reporting on the progress and performance of existing models and processes, as well as presenting the design for new processes to upper management.</li> <li style="text-align:justify;margin:0.0in 0.0in 8.0pt 24.0px;line-height:115%;font-size:12.0pt;font-family:Aptos, sans-serif">Creation of automated processes and reports to reduce manual intervention and flag any areas of concern as they arise.</li> <li style="text-align:justify;margin:0.0in 0.0in 8.0pt 24.0px;line-height:115%;font-size:12.0pt;font-family:Aptos, sans-serif">Assessment of the efficiency and effectiveness of business processes through data analytics to identify any areas for improvement or cost savings.</li> <li style="text-align:justify;margin:0.0in 0.0in 8.0pt 24.0px;line-height:115%;font-size:12.0pt;font-family:Aptos, sans-serif">Implementation of pricing changes in existing models on a frequent basis, to ensurethat changes in our pricing structure and strategies can be quickly actioned.</li> <li style="text-align:justify;margin:0.0in 0.0in 8.0pt 24.0px;line-height:115%;font-size:12.0pt;font-family:Aptos, sans-serif">Creation of new tools and processes that can be used to reduce manual intervention and turnaround time of our client support teams.</li> </ul> Skills and Knowledge: <ul style="margin-bottom:0.0in;margin-top:0.0px"> <li style="text-align:justify;margin:0.0in 0.0in 8.0pt 24.0px;line-height:115%;font-size:12.0pt;font-family:Aptos, sans-serif">Modelling skills preferred (Basic)</li> <li style="text-align:justify;margin:0.0in 0.0in 8.0pt 24.0px;line-height:115%;font-size:12.0pt;font-family:Aptos, sans-serif">Programming Skills: SQL, Python (Intermediate)</li> <li style="text-align:justify;margin:0.0in 0.0in 8.0pt 24.0px;line-height:115%;font-size:12.0pt;font-family:Aptos, sans-serif">Microsoft Office (Excel, PowerPoint and Word) (Advanced)</li> </ul> Education and Experience Education: <ul style="margin-bottom:0.0in;margin-top:0.0px"> <li style="text-align:justify;margin:0.0in 0.0in 8.0pt 24.0px;line-height:115%;font-size:12.0pt;font-family:Aptos, sans-serif">Matric (Essential)</li> <li style="text-align:justify;margin:0.0in 0.0in 8.0pt 24.0px;line-height:115%;font-size:12.0pt;font-family:Aptos, sans-serif">Honours degree in Actuarial Science and/or Mathematical Statistics/ Computer Science or Data Science (Essential)</li> <li style="text-align:justify;margin:0.0in 0.0in 8.0pt 24.0px;line-height:115%;font-size:12.0pt;font-family:Aptos, sans-serif">Min 3-5 completed CT subjects if Actuarial Degree (Advantageous)</li> </ul> Minimum Experience: <ul style="margin-bottom:0.0in;margin-top:0.0px"> <li style="text-align:justify;margin:0.0in 0.0in 8.0pt 24.0px;line-height:115%;font-size:12.0pt;font-family:Aptos, sans-serif">At least 1-3 years’ experience within a data driven industry</li> <li style="text-align:justify;margin:0.0in 0.0in 8.0pt 24.0px;line-height:115%;font-size:12.0pt;font-family:Aptos, sans-serif">Experience with Databricks</li> <li style="text-align:justify;margin:0.0in 0.0in 8.0pt 24.0px;line-height:115%;font-size:12.0pt;font-family:Aptos, sans-serif">Experience with Azure ML solutions</li> <li style="text-align:justify;margin:0.0in 0.0in 8.0pt 24.0px;line-height:115%;font-size:12.0pt;font-family:Aptos, sans-serif">Experience with WTW Software (e.g., Radar Live) (advantageous)</li> </ul> EMPLOYMENT EQUITY The Company’s approved Employment Equity Plan and Targets will be considered as part of the recruitment process. As an Equal Opportunities employer, we actively encourage and welcome people with various disabilities to apply.

Machine Learning Engineer (Sandton - 1 Discovery Place, GP, ZA, 2196) @ Discovery

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