Leading Banks Are you a data scientist with a passion for transforming data into strategic insights? impairment models in compliance with regulatory requirements and internal standards. IFRS 9 Compliance: Ensure timely impairment calculations. Data Analysis: Conduct thorough data analysis to support model development teams to identify and mitigate financial risks using data-driven insights. Reporting: Generate comprehensive the bank's overall strategy. Requirements: Experience: 3-5 years in data science, with a focus on building
CPT000382-LO-1 A vacancy has become available for a QC Technician in Edenvale, Gauteng within a chemical processing quality assurance) Interprets data or results and measure parameters as required to minimize quality deviations out to appropriate standards. Adheres to all requirements regarding Health, Safety and Environment matters
Nigel Frank International Data Engineer Are you a talented and passionate Data Engineer with a strong background international clients. Their team comprises some of the best data engineers in South Africa, and they pride themselves clients. Role and Responsibilities: As a Senior Data Engineer, you will be an integral part of the team to the design, development, and implementation of data pipelines and systems. Your responsibilities will gather requirements and design scalable and efficient data solutions. Building and maintaining data pipelines
Performance Tuning and Optimization Data Security and Backup Data Integration and Migration Database Design
changes, and apply new patches and versions when required. Performance Tuning and Optimization: Analyze solutions to enhance performance and efficiency. Data Security and Backup: Implement and maintain database protect sensitive data. Develop and manage backup and recovery plans, ensuring data integrity and availability availability. Data Integration and Migration: Design and implement data integration solutions for importing/exporting importing/exporting data between various systems. Plan and execute data migrations and transformations as
that is timely, accurate, reliable, and relevant data originating from a multitude of external sources information seek a Data Engineer to design and develop robust data frameworks and create data services that non-functional requirements Keeping up to date with new technologies within the data landscape Ensuring data quality cross-functional teams to understand requirements, deliver data solutions, and optimize processes Qualifications performance and concurrency issues Can model data given requirements and is able to give recommendations on
purpose: Interpret and analyse data for organisation or clients. They provide data analysis from their research practices and make strategic decisions. The goal of a data scientist is to help organisations make discoveries information is archived and can be easily retrieved if required Qualifications, Knowledge, Skills & Experience: /Information Management - ITIL Certification - Certified Data Scientist -Microsoft /AWS - Understanding of the years' experience in Business Intelligence field – data visualisation and analytics.
and surveying company and is looking for a dynamic Data Processor. Unitraf is a dynamic traffic surveying drive to provide superior and relevant results. Required Skills: Computer literate Punctual Hard-worker console Valid Drivers License Own transport is required R6000 per month
Job Description Position Title: Data / Business Analyst - Intermediate Reporting to: Commercial Manager for a passionate Data Analyst / Business Analyst. The successful candidate will turn data into information conducting full lifecycle analysis to include requirements, activities and design. Develop analysis and improvements. Key Responsibilities: Data Analysis: Collect, process, and analyze data to provide actionable insights insights, trends, and patterns to support data-driven decision-making within the organization. Basic IT
enabling economies to thrive are in the market for a Data Scientist with a specialist skill set. The main is to create and facilitate appropriate access to data for key stakeholders and creating visibility for to do routine data cleaning and analysis tasks Identify patterns and correlations in data from which hypothesis Ability to turn data insights into practical actions resulting in improved results Data Visualization Change available data (Logistic regression, random forest, etc) Data cleaning and pre-processing (Size, data distribution