including insurance, healthcare, banking and financial services, media, retail, and others. They aim Analyst and Data Architect/Modeller. Responsibilities: Prepares, transforms, models data and resolves conflicting transformation for predictive or prescriptive modeling. Responsible for technical testing services across them. Qualification Experience: Matric, Bachelors degree in computer science, IT, or similar field; a Masters Backend). Experience of relational and NoSQL data modelling approaches. Experience of at least one packaged
Southern Africa and leaders in providing innovative financial services have an opportunity for a Data Engineer support high performing ML algorithms, predictive models and support real-time data visualisation requirements validated against financial records Qualifications and experience 3 year IT related degree Post graduate Agile methodology Knowledge of retail industry data models Advanced knowledge of compliance and IT governance
DESCRIPTION Key Responsibilities: • Prepares, transforms, models data and resolves conflicting sources of data and transformation for predictive or prescriptive modelling • Responsible for technical testing services across input to develop them Requirements: • Bachelor's degree in computer science, IT, or similar field; a Master's Backend) • Experience of relational and NoSQL data modelling approaches • Experience of at least one packaged packaged ETL tool • Technical expertise with data models, data mining, and segmentation techniques • Extensive
DESCRIPTION Key Responsibilities: • Prepares, transforms, models data and resolves conflicting sources of data and transformation for predictive or prescriptive modelling • Responsible for technical testing services across input to develop them Requirements: • Bachelor's degree in computer science, IT, or similar field; a Master's Backend) • Experience of relational and NoSQL data modelling approaches • Experience of at least one packaged packaged ETL tool • Technical expertise with data models, data mining, and segmentation techniques • Extensive
performance full stack applications; integrating AI models and solutions into existing and new platforms and relevant programming languages. Bachelor's or Master's degree in Computer Science preferred but not required Github Actions / Jenkins Any experience in data modelling / manipulation R100k to R120k pm
teams to understand business problems, develop models that drives automation, predictive analytics, advanced external data providers. Design and implement data modelling, data mining, and machine learning algorithms maintain predictive and prescriptive analytical models to support decision-making and drive business value and data transformation to prepare data for modelling and analysis. Utilize data visualization techniques audiences. Continuously evaluate and optimize existing models, algorithms, and data sources to improve accuracy
clients come from various industries, including financial and insurance, supply chain, retail, and media arrangements, embracing both remote and hybrid models to cater to our staff's preferences. However, as into technical ones. Report curation and data modelling. Participation in data warehouse design. Design a relevant 3-4 year diploma or degree (Honours or postgraduate degree preferred), or relevant work experience experience with data warehouse design and data modelling. You have a strong understanding of ETL processes
the Company Group on a mission to democratize financial advice and solutions for everyone across the African African continent. They exist to pioneer inclusive financial confidence helping people build strong foundations inspired and assist in guiding them towards their financial aspirations. What will make you successful in Qualification and Experience Qualifications: Bachelor's degree or equivalent qualification in a related field Experience in designing products and services for Financial Services institutions. Knowledge Knowledge in
professionals. Qualifications and Requirements: Bachelor's degree in business administration, Supply Chain Management Management, or a related field; advanced degree or relevant certifications (e.g., CPSM, CPM) preferred. Minimum abilities. Proficiency in data analysis, cost modelling, and spend management tools and techniques. Strong
data, automate tasks, and build machine learning models. Apply rigorous security measures to protect data with Azure Data Factory, Databricks, and Power BI. Degree in Computer Science, IT, or a related field with