machine learning, statistical and mathematical models to solve business problems and enable the effective technologies and model data preparation. Responsibilities: Build statistical models Manage the development Define strategy to enable business use of predictive models Manage controls to enable risk monitoring Implement validate the effectiveness of the models Monitoring/Calibration of models Effective self-management and teamwork
documenting and enhancing a range of predictive models across the entire credit life cycle. Responsibilities: in the development and application of predictive models across the entire credit life cycle. Conduct continuous research aimed at identifying predictors and enhancing model development practice and techniques. Monitor and Analysis, Data Science, Machine Learning, Predictive Modelling, Problem Solving & Analytical, Python Programming Understanding & knowledge of predictive modelling practices, performance standards & methodologies
structured and unstructured data sets. Responsibilities: Model complex business problems, discovering insights intelligent automation and predictive modelling. Build machine learning models from and utilises distributed Kafka. Provide input into Data management and modelling infrastructure requirements and adhere to the Ensure business integration through integrating model outputs into end-point production systems, are understood Measure proficiency in using the diagramming and modelling techniques vital for requirements analyses. Qualifications
experience in data ETL/ELT, who will play a crucial part in designing, implementing, and optimizing scalable backend solutions on the Azure cloud platform To be part of this team whose mission is to revolutionize the similar Strong SQL skills and proficiency in data modelling, data warehousing concepts, and database optimization
also enjoy the flexibility of a hybrid working model and cool company soft perks (such as free lunch) hard and plays hard; you are comfortable working as part of a collaborative team without any Micromanagement
also enjoy the flexibility of a hybrid working model and cool company soft perks (such as free lunch) hard and plays hard; you are comfortable working as part of a collaborative team without any Micromanagement
As a Senior C# Developer, you'll play a crucial part in boosting team performance and contributing to you'll enjoy the flexibility of a hybrid work model—two days in the office per week—and access to company
deploying BI solutions (e.g., data warehousing models) and creating visualizations and reports for requested in SQL, SSRS, Excel Work with the team in data modelling, database design, creating efficient SQL for fast Production experience working with at least modern modelling tools - on premise and / or in the cloud (e.g Analytics) Production experience working with DAX modelling measures (e.g. Power BI, Analysis Services, DAX
performing ML algorithms, predictive models and support real-time data visualisation requirements across Agile methodology Knowledge of retail industry data models Advanced knowledge of compliance and IT governance
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