Machine Learning Engineer

About

Description

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.

Responsibilities

• 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 (e
• g
• , Radar Live) (advantageous)

Application instructions:

• Click on the green button to apply