scorecards, frameworks and algorithm tuning Expose models and scorecards to other systems (API/Queue) Schedule (automation) Ability to identify the most relevant modelling approach based on the type of problem and available random forest, etc) Ability to train and maintain models Data cleaning and pre-processing (Size, data distribution including raw data) Experience in correctly applying model performance approaches in the context of the training training approaches taken (Classification Models, Confusion Metrix, etc) Qualifications & Experience:
influencing Ability to identify the most relevant modelling approach based on the type of problem and available including raw data) Experience in correctly applying model performance approaches in the context of the training training approaches taken (Classification Models, Confusion Metrix, etc) performance approaches in the of the training approaches taken (Classification Models, Confusion Metrix, etc) Qualifications & Experience:
Responsibilities: Demonstrate expertise in data modelling Oracle SQL Exceptional analytical skills analysing API's is a bonus Knowledge of the Agile Working Model Qualifications and Experience: Relevant IT / Business Build/Pipeline CloudFormation Technical data modelling and schema design (“not drag and drop”) Kafka
relevant to business objectives. Develop predictive models and machine learning algorithms to forecast customer teams to analyse large datasets, develop predictive models. Qualifications and Experience: Bachelor's or Master's data analysis, machine learning, and predictive modelling. Proficiency in programming languages such as
to develop data models and pipelines for research, reporting, and machine learning Model front-end and analysts and BI analysts for reporting. Develop models that can be used to make predictions and answer
marts Experience in Data Vault and Dimensional modelling techniques Experience working in a high availability Wherescape RED SQL Server Data Vault modelling Dimensional modelling Transact SQL Automation/Scheduling
understanding of dimensional models. Conventional database- and data warehouse modeling skills, in order to understand understand the data warehouse data models. Terra Data QlikView Power BI SQL Server The Reference Number
expertise in Oracle SQL, showcasing prowess in data modeling. Create technical documentation and artifacts API development is advantageous. Agile Working Model. Qualifications : Bachelor's degree in IT, Business and CloudFormation. Expertise in technical data modeling and schema design, emphasizing practical implementation
specifications Development of MS SQL and Power BI data models with required interfaces and ETL Development of understanding of when to rely on DAX queries vs a data model Optimization of MS SQL queries/views and ETL/SSIS
both predictive and prescriptive machine learning models that will assist with increasing strategic and and recommendations based on data analysis and modeling concluded and where relevant with knowledge and