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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 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 ensurethat 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. Skills And Knowledge Modelling skills preferred (Basic) Programming Skills: SQL, Python (Intermediate) Microsoft Office (Excel, PowerPoint and Word) (Advanced) Education And Experience Education: 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) Minimum Experience 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) 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.
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.