Key Responsibilities: Collect, extract, and compile data from multiple sources, ensuring accuracy and consistency. Clean and transform raw data into structured, usable datasets. Conduct exploratory and statistical analysis to identify trends and patterns. Build and maintain scorecards, models, and reports to support decision-making. Use data visualization techniques to present insights clearly to stakeholders. Provide analytical support for projects, including market analysis, customer segmentation, and performance tracking. Identify opportunities to streamline processes, increase efficiency, and optimize revenue. Stay up to date with emerging technologies, tools, and best practices in data science and analytics. Requirements: Bachelors or Masters Degree in Mathematics, Computer Science, Data Analytics/Science, or a related field. 5 years of proven experience as a Data Scientist or in a similar role, preferably within credit or financial services. Proficiency in Google Cloud Platform (GCP), BigQuery, SQL, Python, R, and data visualization tools such as Google Looker. Strong analytical and problem-solving skills with experience handling large datasets. Solid knowledge of statistical analysis and data modelling. Excellent communication and presentation skills. Strong working knowledge of Microsoft Excel and other data manipulation tools. Familiarity with data governance and awareness of data privacy regulations is a plus. Whats in it for You?: A chance to work in a high-growth, innovative environment. Opportunities to make a tangible impact through data-driven decision-making. Continuous professional development and learning opportunities. Dont miss out – apply today!

My clients are always on the lookout for exceptional data talent to join dynamic teams across industries like fintech, online gaming, and bespoke software solutions. Roles vary from designing data pipelines and optimizing storage to building analytics dashboards and driving data-driven decisions. Expect exposure to modern tools, flexible work arrangements, and projects that make a real impact. Skills & Experience: Strong data engineering or analytics background Proficiency in SQL and at least one programming language (Python, Java, or similar) Experience with ETL processes, data modelling, and cloud platforms (AWS, Azure, GCP) Bonus: Big Data tools (Hadoop, Spark), BI platforms, and experience in high-volume environments Qualification: Relevant degree in Computer Science, Data Science, or equivalent experience Contact LIZAAN BUNNING on