Key Responsibilities:
Financial Services company seeks a highly skilled Data Analyst/Scientist to help assist in the development entire deliverable: from spec gathering, data collection, data cleaning and manipulation, model creation and technologies. Extract, cleanse, and validate data to be used for analysis. Translate Business Strategies measures and control systems to track progress. Extract data from various sources and convert it into meaningful Learning Ability to handle, interpret and analyse data efficiently. Proficiency in T-SQL, R, Python, Excel
ENVIRONMENT: FACILITATE data-driven decision-making and improve company operations as the next Data Scientist to Durban-based Financial Services company. You will drive Data Science projects, using sophisticated analytics also collaborate with other departments to design data strategies, build models, and embed those models Computer Science, Data Science, or a related field with proven work experience in Data Science roles, including R, have knowledge of data manipulation and visualization & expertise in Data Preprocessing, Feature
cutting-edge technology. Our client is seeking a Data Scientist with a strong background in machine learning to travel to the office daily. Responsibilities: Data Analysis and Modelling: Develop and deploy machine optimize processes Conduct in-depth data analysis, data exploration, and data preprocessing to extract valuable validate findings Data Strategy and Planning: Collaborate with stakeholders to define data-driven objectives objectives and formulate data strategies aligned with business goals Identify key performance indicators (KPIs)
where you will play a crucial role in enhancing its data strategy and technology stack, incorporating advanced AI capabilities to optimize operations and drive data-driven decision making. This position requires a frameworks. DUTIES: Data Analysis and Reporting – Develop and maintain dashboards, reports, and data visualizations operations and strategic decision-making. Analyse complex data sets to identify trends, patterns, and actionable technologies into the BI framework. Collaborate with IT and Data Science teams to develop and deploy AI models that
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matured states
Leading initiatives such as data classifications, POPIA compliance.
2
transmission of data through secure internet gateways
and encryption of electronic data
Manage
disposal of data through assigning
responsibility for ongoing storage and disposal of data in accordance
and workflows using Power Automate.
processes and workflows using Power Automate. Create data visualization and reporting solutions using Power
operations
Proficiency in SQL and Sage software for data management and financial analysis
Proven track