business objectives. Develop predictive models and machine learning algorithms to forecast customer behaviour initiatives. Design and implement data visualisation tools and dashboards to communicate insights effectively technologies and best practices in data science, machine learning, and artificial intelligence. Translate field. 2 years of experience in data analysis, machine learning, and predictive modelling. Proficiency working with large datasets and data manipulation tools (e.g., Pandas, NumPy) will be beneficial. Familiarity
opportunities through statistical, algorithmic, machine learning and visualisation techniques. Execute intelligent automation and predictive modelling. Build machine learning models from and utilises distributed data processing and analysis methodologies. Competent in Machine Learning programming in R or Python, with supplementary computational platform, including broader ecosystem of tools such as HDFS / Spark / Kafka. Provide input into management experience Experience with data visualisation tools, such as Power BI, Tableau, etc. The Reference Number
field 4 years of experience in data analysis, machine learning, and predictive modelling Proficiency working with large datasets and data manipulation tools (e.g., Pandas, NumPy) will be beneficial Familiarity Hadoop, Spark) Experience with data visualization tools (e.g., Tableau, Power BI, Grafana) Analyse complex business objectives Develop predictive models and machine learning algorithms to forecast customer behaviour
software systems for the business's future driving machines. You will be required to be proactive and be able of Nagios or similar technologies as a monitoring tool APPLY NOW Requirements: Min. 5 years working experience
required to build both predictive and prescriptive machine learning models that will assist with increasing science trends and leading practice data science tools and techniques and transition the organisation to
adventure for the youthful and restless, eager to inject some excitement into buzzing systems. As a Senior
engines and services by applying strong expertise in machine learning, data mining and conducting information behaviour. Employ advanced data analytics and machine learning techniques to detect fraudulent activity similar 5 years' experience in a data science role Machine learning experience across multiple projects/ doing
Engineer with the capabilities of utilising data, machine learning, statistical and mathematical models to
Change Agility, Credit Risk Analysis, Data Science, Machine Learning, Predictive Modelling, Problem Solving
emerging trends across Data/Analytics (Big Data, Machine Learning, Deep Learning, AI) Technical Environment