Johannesburg: Data Scientist | Sandton

Are you a highly skilled Data Scientist ready to apply your advanced analytical and machine learning expertise to the complex challenges of the Life and Non-Life Insurance industry? A leading provider of Tailored Risk Solutions is seeking an innovative Data Scientist to join our client’s Business Intelligence team. This is a key position where you will leverage large-scale data to drive insights, inform critical decision-making, and enhance our core insurance operations. This is your chance to build and operationalise predictive models that unearth hidden insights and directly improve business performance. Responsibilities: You will be the vital link between complex data and actionable business strategy, working closely with cross-functional teams, including actuaries and underwriters. Advanced Modelling: Develop, implement, and validate cutting-edge machine learning algorithms and statistical models. Your primary goal will be to build and operationalize predictive models to enhance our insurance operations. Data Strategy & Insights: Analyze complex datasets to identify crucial trends, patterns, and correlations. You will generate, test, and interpret working hypotheses to provide actionable insights that address business challenges. Engineering & Automation: Build scalable data pipelines and infrastructure for collecting, processing, and analyzing large volumes of structured and unstructured data. You will also automate recurring processes and monitor their efficiency. BI Solution Development: Develop comprehensive BI solutions utilizing the Microsoft BI Stack, including SQL, ETL scripting, database programming, and reporting tools. Experience: A minimum of 4 years working experience as a Data Scientist or in a similar role, preferably within the life and non-life insurance industry. Qualifications: A Bachelors Degree/Diploma in Informatics, Computer Science, Statistics, Mathematics, or Information Technology. Technical Stack: Proficiency in programming languages such as Python, R, or Java, C++, or C#. Extensive experience with T-SQL and Microsoft SQL Server. Essential Azure Stack Experience: Power BI, Azure Data Factories, and Azure Synapse Analytics. Experience with data analysis and machine learning libraries (e.g., TensorFlow, PyTorch, scikit-learn). Experience with big data technologies (e.g., Hadoop, Spark, Kafka) and cloud platforms (AWS, Azure, Google Cloud Platform). Core Competencies: Strong understanding of statistical concepts, data modeling techniques, and the ability to translate business requirements into actionable insights. Must have excellent problem-solving skills and effective communication for presenting complex ideas.