We are looking for recently graduated interns to join our Software Quality Assurance internsip programme must have covered: Coding Programming languages Statistics and Electronics Database Management Information
experience in SQL. - Post graduate degree/diploma in computer science, statistics or data processing related
knowledge of MS Office 2010 / 2013, Server 2008 / 2012, Exchange 2010 / 2013, AD/DNS/DHCP, Routers and Wifi
Visual Studio 2013 or later K2 Blackpearl 4.7 or 5.0 (preferential) Microsoft SharePoint 2013 or later (preferential) the following: App Builder, Microsoft SharePoint 2013, Microsoft CRM 2016 / Dynamics 365 The following in K2 Blackpearl 4.7 or 5.0, Microsoft SharePoint 2013 or later, Microsoft CRM 2016 / Dynamics 365 The
impactful reports and dashboards, and apply advanced statistical and machine learning techniques to enhance business decision-making Predictive Modelling: Apply statistical and machine learning techniques to build predictive REQUIREMENTS Bachelor's degree in computer science, Statistics, Economics, Business or related field. Master's data-driven solutions Solid understanding of statistical concepts and experience with predictive modelling
impactful reports and dashboards, and apply advanced statistical and machine learning techniques to enhance business decision-making Predictive Modelling: Apply statistical and machine learning techniques to build predictive REQUIREMENTS Bachelor's degree in computer science, Statistics, Economics, Business or related field. Master's data-driven solutions Solid understanding of statistical concepts and experience with predictive modelling
visualization techniques and platforms. Applying statistics, machine learning, and analytical approaches Systems, Actuarial Sciences, Applied Mathematics, Statistics). Candidates without a Computer Science, Engineering theoretical predictive modelling, mathematical and statistical skills. Proficient in SQL. 5 years of experience advantageous. Highly analytical with strong maths and statistics skills. Experience using business intelligence
impactful reports and dashboards, apply advanced statistical and machine learning techniques to enhance business decision-making. Predictive Modelling Apply statistical and machine learning techniques to build predictive data-driven solutions. Solid understanding of statistical concepts and experience with predictive modelling Required: Bachelor's degree in computer science, Statistics, Economics, Business or related field or Master's
be responsible for creating mathematical and statistical models and analyzing large datasets. You will Engineering, Applied Mathematics or Quantitative Statistics. Experience with R/Ptyhon or Julia. Knowledge