As a Machine Learning Engineer at Discovery Insure, you'll play a key role in enhancing operational processes through innovative machine learning models. This position is ideal for someone who thrives in a collaborative environment and is eager to contribute to meaningful change in the insurance sector.
Dynamic and innovative, with a strong focus on health and customer-centric solutions.
Discovery Insure is dedicated to transforming the insurance landscape in South Africa by promoting safer driving through its unique Shared-value Insurance model. As part of a larger organization committed to enhancing lives, Discovery Insure is rapidly growing and offers comprehensive insurance products that address both current and emerging risks in the motor and home sectors. The Vitality Drive program is a standout feature, rewarding clients for responsible driving and extending its reach internationally.
In the role of Machine Learning Engineer, you will be responsible for designing and implementing machine learning models that support various business functions. Your day-to-day tasks will involve collaborating with teams across actuarial, data science, and analytics to ensure that models are effectively integrated into operational processes. You will also monitor and report on model performance, providing insights that drive operational excellence.
Key responsibilities include: • Designing and creating testing processes for machine learning models to facilitate quick and effective business decisions. • Assisting in the integration of traditional models into cloud-based platforms like DataBricks for enhanced performance. • Deploying rating and logic engines using proprietary software, ensuring seamless integration into production environments. • Collaborating with various teams to ensure smooth project implementation and risk reduction.
This role is well-suited for individuals who are passionate about machine learning and data analysis, and who enjoy working in a collaborative, fast-paced environment. Strong skills in machine learning, data analysis, and cloud platforms are essential, while experience in actuarial science and project management would be beneficial. If you are looking to make a significant impact in a growing company, this position could be a great fit.
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