Machine Learning Engineer

About

Description

Discovery is a purpose-driven organisation committed to making people healthier and enhancing and protecting their lives. We invest in exceptional individuals who share our values and support our mission. Our fast-paced, innovative environment empowers smart, self-driven people to thrive, while our role as global thought leaders drives us to create meaningful societal impact through innovation and shared value. Discovery Insure, a key part of the Discovery Group, is transforming the short-term insurance industry through its unique Shared-value Insurance model. As South Africa’s fastest-growing short-term insurer, Discovery Insure provides comprehensive cover for motor and home risks, while promoting safer driving through Vitality Drive—our internationally recognised, award-winning programme that rewards clients for good driving. With a dedicated team of over 1,000 people, we are committed to delivering innovative solutions and exceptional service, both locally and in our growing international markets across Europe and the Middle East.

Responsibilities

• 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
• Assist with the design and integration of traditional models and processes into cloud-based platforms like DataBricks to utilise additional functions and better performance
• Responsible for deploying rating and logic engines using proprietary software, ensuring accurate implementation and seamless integration into production environments
• 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
• 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
• Creation of automated processes and reports to reduce manual intervention and flag any areas of concern as they arise
• Assessment of the efficiency and effectiveness of business processes through data analytics to identify any areas for improvement or cost savings
• Implementation of pricing changes in existing models on a frequent basis, to ensure that changes in our pricing structure and strategies can be quickly actioned
• Creation of new tools and processes that can be used to reduce manual intervention and turnaround time of our client support teams

Qualifications

• Matric (Essential)
• Honours degree in Actuarial Science and/or Mathematical Statistics/ Computer Science or Data Science (Essential)
• Min 3-5 completed CT subjects if Actuarial Degree (Advantageous)
• At least 1-3 years’ experience within a data driven industry
• Experience with Databricks
• Experience with Azure ML solutions
• Experience with WTW Software (eg, Radar Live) (advantageous)

Application instructions:

• Click the green button, to apply.