My client in the government sector is looking for Data Scientist x 2
Location: Onsite
Responsibilities
Data acquisition, data cleansing, data transformation
Machine learning
We are currently seeking a skilled Data Analyst to join our team. In this role, you'll you'll play a crucial part in analyzing data to provide valuable insights that drive business decisions Business Intelligence Data Analyst Africa during time of absence.
design, implementation, and documentation of ISO20022 data modelling solutions which include but not limited
Applications are invited for the position of Head of Data Management based at Head Office (Bruma). The successful provide strategic and tactical leadership for the data management function in line with the organisational lead and guide the development and utilisation of data systems within the organisation, implementation ensuring effective data management, and efficient methods to organize, store and analyse data, while maintaining driver in optimizing data systems, unlocking valuable insights, and supporting data-driven decision-making
Applications are invited for the position of Head of Data Management based at Head Office (Bruma). The successful provide strategic and tactical leadership for the data management function in line with the organisational lead and guide the development and utilisation of data systems within the organisation, implementation ensuring effective data management, and efficient methods to organize, store and analyse data, while maintaining driver in optimizing data systems, unlocking valuable insights, and supporting data-driven decision-making
highly skilled and experienced Data Architect to join our team. As a Data Architect, you will be responsible responsible for designing, developing, and implementing data solutions that meet our organization's needs. You stakeholders to understand requirements, design data models, and ensure data integrity, security, and availability translate them into data architecture solutions. Design and develop scalable and efficient data models for relational non-relational databases. Define data standards, guidelines, and best practices to ensure data quality and consistency
Senior Data Engineer to join their organization at their Johannesburg branch. The Senior Data Engineer within the Data Science Team, the Data Engineer will be responsible for the organization's data structure enterprise standard ETL/ELT processes as well as data lakes and a focus on code-based techniques and collaborative infrastructure Active working experience in Big Data is ideal Experience in market research, marketing marketing industries, and survey & sampling data would be beneficial Job & Description: Collaborate
management practices, ensure alignment to the group risk data principles and governance and identify opportunities Supervision 239 (BCBS239) through the embedment of Risk Data Aggregation and Risk Reporting (RDARR) principles practices and ensure alignment to the Group Risk Data principles and governance Monitor the activities Supervision (BCBS) 239 Principles for effective risk data aggregation and risk reporting to provide RDARR effectiveness and provide support to stakeholders to capture their inputs Prepare the RAFA packs in preparation
company with a fast-paced environment is looking for a Data Engineer Deliver Intelligent systems at scale. Powering (cross-functional) and Customer Development areas through data and analytics. Building out the right applications and future-looking decisions leveraging Big Data & Data Science. Winning disproportionately. Creating & internal data, and presenting this in a way that is simple for our teams. Make data a true asset asset. Better data and data science access for every part of the business, across the 3 data frameworks (Connectivity
and execute cutting-edge AI and BI solutions data science projects analytics and machine learning models insights data strategies, build models, and embed models into software-driven business processes Data Analysis outcomes, and optimize processes Data analysis, data exploration, and data preprocessing to extract valuable validate findings Data Strategy and Planning: Define data-driven objectives and formulate data strategies aligned with business goals Identify KPIs and establish data collection and measurement protocols Feature Engineering: