the strong leadership of a highly technical Senior Data Engineer to join its team. You will be responsible infrastructure and systems that enable efficient data processing, storage, and retrieval. You will also help ensure the availability and reliability of data for analysis and decision-making. The successful similar discipline with 4-5years' work experience in Data Engineering, Database Administration, or a related or Informatica. DUTIES: Data Architecture and Modeling - Design and develop data architectures that support
business is repeat business. ENVIRONMENT: JOIN the Data Team of a fast-growing FinTech company with a footprint continent seeking a highly skilled Junior – Mid Data Scientist to help execute the credit scoring roadmap must also have a solid understanding of data warehouses and data structures. DUTIES: Client Limit Management translate business problems into analysis. Proficient in Data Analysis tools (Google Big Query, SQL, Python, R) abilities. Have a basic understanding of data warehouses and data structures. Optional: Passion for Africa
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 T-SQL, R, Python & Excel. DUTIES: Develop and drive company vision and innovations within the AI/ML 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
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
employee welfare, is actively seeking a Process Data Science Services Engineer stationed at their Head problem to be solved, to convert data to prepared & contextualised data, to insights, to actions, to offering. This will include training fellow process data scientists to map insights to actionable advisories using appropriate software platforms for exploratory data analysis. Technical proposal, report writing and Intermediate in data analysis tools (e.g. Python). ATTRIBUTES: Proficiency with data analysis. Comfortable
SQL replication and exporting & importing of data. You must be able to create MS SQL Logins as well database. Consider both Back-End organisation of data and Front-End accessibility for end-users. Refine design so that it can be translated into a specific data model. Further refining the physical design to meet documentation, including data standards, procedures and definitions for the data dictionary (metadata). SQL replication and exporting & importing of data is essential. Must be able to create MS SQL Logins
Joburg whose role will include field data collection, capturing and reporting. You will participate in assessment and irrigation scheduling. Field data collection, capture and reporting. REQUIREMENTS: Degree (preferably
Joburg whose role will include field data collection, capturing and reporting. You will participate in assessment and irrigation scheduling. Field data collection, capture and reporting. REQUIREMENTS: Degree (preferably
business. ENVIRONMENT: PLAY a pivotal role in driving data-driven decision-making within the organisation for gathering, analysing, and interpreting complex data sets to provide actionable insights that will inform methodologies. You will also need proven experience in BI, Data Analysis, or a related role - Product Owner/Scrum in SQL for data extraction and manipulation, Tableau and Power BI or similar. DUTIES: Data Collection Collection and Analysis - Gather and consolidate data from various sources, including databases, spreadsheets,
of our business is repeat business. ENVIRONMENT: DRIVE the development of credit policy, product pricing You will require a Master's Degree in Statistics/Data Science or related discipline with 5 years' work with proficiency in Python or R. DUTIES: Analyse data sets to identify factors correlated with Credit better Credit Risk outcomes by integrating models and data-driven approaches into operational processes. Determine sufficiently cover changing Credit Risk. Analyse complex data sets using SQL and other tools to extract insights