Investments 4. Retail 5. Telecommunication Design data models that meet the business requirements and align to the agreed architecture framework. Ensure data modelling deliverables are delivered according to project meet commitment to stakeholders. Ensure all data modelling activities and deliverables are aligned to the data modelling principles and standards Apply the approved tooling to create the data modelling deliverables the Enterprise Data Model (which is based on the IFW) as a standard for data model designs to leverage
will be doing:
Investments 4. Retail 5. Telecommunication Design data models that meet the business requirements and align to the agreed architecture framework. Ensure data modelling deliverables are delivered according to project meet commitment to stakeholders. Ensure all data modelling activities and deliverables are aligned to the data modelling principles and standards Apply the approved tooling to create the data modelling deliverables the Enterprise Data Model (which is based on the IFW) as a standard for data model designs to leverage
responsible for managing and delivering medium-sized projects from commencement to completion, ensuring month contract in a hybrid working model. Oversee and manage medium-sized projects, ensuring they meet the experience. Proven experience in managing medium-sized projects across various disciplines (e.g., property
frameworks and algorithm tuning
Qualifications
Development Life Cycle models (Waterfall, Rapid Application Development, Spiral Model, Agile, etc.) required changing environment. Working knowledge on SQL a plus. Must be skilled in Java, front end automation (in-sprint)
communicating business-process-related knowledge through modelling, simulating, and analyzing current and future Excel, PowerPoint, Visio, Project)
Knowledge specifications
Technology, or related field. A Master's degree is a plus.
Experience:
Technology, or related field. A Master's degree is a plus. Experience: Minimum of 5 years of experience in Familiarity with Siebel Open UI framework is a plus. Application development & Technical Experience Scripting, Workflows etc Understanding of Siebel Data Models and Architecture Experience in doing bulk SQL Updates
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 Ability to train and maintain models Data cleaning and pre-processing (Size, data distribution, imputation 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: