Key Responsibilities Develop and deploy advanced statistical and machine learning models Analyse complex datasets to extract actionable insights for strategic decisions Design scalable data solutions and automation pipelines Collaborate with cross-functional teams to integrate analytics into business strategy Job Experience & Skills Required Education: Degree in Data Science, Statistics, Mathematics, Computer Science, or related field (Masters advantageous) Experience: 36 years in data science or advanced analytics roles Proven experience in building predictive models and scalable data solutions Exposure to AI-driven automation and cloud-based environments (AWS/GCP/Azure) Skills: Proficiency in Python, R, SQL, and modern ML frameworks Strong statistical modelling and data engineering capabilities Ability to translate technical insights into commercial impact Non-negotiable: Passion for innovation and ability to work on complex, high-impact projects Apply now! For more exciting Finance vacancies, visit:

Join a forward-thinking analytics environment where data science is not just a support function its the engine that drives client strategy and business direction. Youll work on complex datasets, advanced statistical modelling, AI-driven automation, and scalable data systems that enable high-value insights for top-tier clients. This role gives you the freedom to apply modern methodologies, influence decision-making, and build solutions that integrate global best practice. Youll be part of a collaborative, innovation-focused team that continuously pushes the boundaries of whats possible in analytics. If you have not had any response in two weeks, please consider your application unsuccessful. Your profile will be kept on our database for any other suitable roles. For more information, contact: Heidi Joubert Specialist Recruitment Consultant

Join a forward-thinking analytics environment where data science is central to strategy, not just a support function. You will work with complex datasets, implement advanced statistical models, leverage AI-driven automation, and build scalable data systems that generate high-value insights for leading clients. This role offers the freedom to apply modern methodologies, influence key business decisions, and design solutions aligned with global best practice. Youll collaborate in an innovation-focused team that continuously pushes the boundaries of analytics to deliver measurable client impact. Job Experience and Skills Required: Education: Degree in Data Science, Statistics, Mathematics, Computer Science, or related. Experience: Strong experience in data science, advanced analytics, or statistical modelling. Proven ability to deliver actionable insights from complex datasets. Experience with AI, machine learning, or automation initiatives is highly desirable. Hands-on experience building scalable data solutions and implementing modern analytics frameworks Skills: Proficiency in Python, R, SQL, or similar tools. Strong analytical thinking and problem-solving capabilities. Ability to communicate complex concepts clearly to both technical and non-technical stakeholders. Innovative mindset and the ability to work collaboratively in a fast-paced environment. Apply now! For more exciting Actuarial and Analytics vacancies, please visit: