Midrand: Data Scientist (Business Intelligence)

Requirements: Bachelors degree/ diploma in one of the following fields: Informatics, Computer Science, Statistics, Mathematics, or Information Technology Proven experience working as a data scientist or in a similar role, preferably in the life and non-life insurance industry. Proficiency in programming languages such as Python, R, or Java, as well as in data analysis and machine learning libraries (TensorFlow, PyTorch, scikit-learn At least 4 years of working experience in the following: Power BI (essential) Azure Data Factories (essential) Azure Synapse Analytics (essential) Python / R, C++, C#, Java (critical) Microsoft SQL Server (critical) T-SQL (critical) Effective communication skills, with the ability to collaborate with cross-functional teams and present complex ideas in a clear and concise manner Strong understanding of statistical concepts, data modelling techniques, and experimental design principles Duties and Responsibilities: Participate in the analysis, design, development, troubleshooting, and support of the reporting and analytics platform Analyze complex datasets to identify trends, patterns, and correlations Generate and test working hypotheses and interpret results to provide actionable insights Develop, implement, and validate machine learning algorithms and statistical models Build and operationalize predictive models to unearth hidden insights Collaborate with actuaries, underwriters, and other stakeholders to integrate data science solutions into existing workflows and processes Develop BI solutions using SQL, ETL scripting, business intelligence tools, and database programming, and reporting tools on the Microsoft BI Stack Build scalable data pipelines and infrastructure for collecting, processing, and analyzing large volumes of structured and unstructured data Automation of recurring processes and the monitoring thereof Must have prior experience developing business intelligence solutions in large or mid-sized companies Must be able to manage multiple tasks simultaneously and react to problems quickly Must have extensive experience with T-SQL Must be able to develop, maintain, review, and explain predictive models Understanding of the financial services industry desired, especially Insurance Experience using data visualization tools, e.g., Power BI Excellent problem-solving skills and the ability to translate business requirements into actionable insights Experience with big data technologies (e.g., Hadoop, Spark, Kafka) and cloud platforms (e.g., AWS, Azure, Google Cloud Platform)