Development: Creation of services, reports and applications as per business requirements, and agreed deadlines. Support: Responsible for assisting IT and IS support personnel in solving technical problems. Documentation: Comprehensive documentation of new and existing systems at a technical level to
RESOURCES (SADiLaR) POSITION NUMBER: P002872 VACANCY: DATA SCIENTIST PEROMNES: A7 EMPLOYMENT TYPE: PERMANENT PERMANENT APPOINTMENT PURPOSE OF THE POSITION As a Data Scientist at the South African Centre for Digital Language Human Language Technology, Digital Humanities, Data Science, Computer Science, Information Technology
a visionary Data Scientist to spearhead their data-driven initiatives as the Head of Data Science. Join future of data-driven decision-making. APPLY NOW Key Responsibilities: Shape and execute the data strategy objectives and drive innovation. Lead a team of data scientists and analysts, providing guidance, mentorship Oversee the collection, storage, and analysis of data to derive actionable insights. Collaborate with leveraging data to solve business challenges. Develop and implement best practices for data governance
reliable, on-time, efficient & high-quality data analytics solutions and professional services that Experience: • 3 – 7 years in Business Intelligence/Data Analytics/Data • Science/Modelling/Statistics • Programming skills • Knowledge of statistical modelling and data mining techniques i.e. Regression, • Random Forest
This role is for a Senior Data Engineer to help build and maintain scalable data pipelines and related systems for designing, developing, testing, and deploying data solutions that meet the business requirements Collaborate Collaborate with all stakeholders to ensure data quality, reliability, accessibility, security and governance technical aspects of all data pipelines Support ETL processes including, data ingestion, transformation Optimize data performance, scalability, and security. Provide technical guidance and support to data analysts
individuals operate efficiently and make effective data-driven decisions. They are actively seeking like-minded What you will be doing: Uncover insights through data visualisation for smarter decisions. Streamline Prepare data for analysis and reporting with precision and efficiency. Address various data requests Explore growth opportunities using data-driven approaches. Enhance data quality and delivery speed for better SQL, Python, and data visualisation techniques. Skilled in Microsoft Excel for data manipulation. Strong
businesses are in search of a Data Engineer with the capabilities of utilising data, machine learning, statistical the effective use of data by utilising cutting-edge technologies and model data preparation. Responsibilities:
Reference: NFP014177-AA-1 Are you a talented Data Scientist seeking an exciting opportunity to revolutionize harness the power of data to drive innovation and enhance customer experiences As a Data Scientist with us extract actionable insights from vast amounts of data. Your responsibilities will include: Collaborating teams to identify business challenges and develop data-driven solutions. Designing and implementing predictive risk assessment, and fraud detection. Utilizing big data technologies and cloud platforms to analyze and
in this pursuit they are in need of a passionate Data Scientist ready to design, prototype, and build by applying strong expertise in machine learning, data mining and conducting information retrieval within Develop actuarial / statistical models to enable data driven decision making. Identify appropriate models insights into member behaviour. Employ advanced data analytics and machine learning techniques to detect databases and data flows between systems. Ability to create dashboards, reports and data visualisation
skilled Intermediate Data Scientist to join their team. As an Intermediate Data Engineer, you'll be pivotal pivotal in using data-driven insights to inform business strategies and enhance operations. Collaborating measuring the success of data science initiatives. Design and implement data visualization tools and dashboards with emerging technologies and best practices in data science, machine learning, and artificial intelligence Mathematics, or a related field. 2 years of experience in data analysis, machine learning, and predictive modeling