machine-learning with regression, classification, models for supervised learning; Natural language processing and understanding in large language models; Building multimodal models; Unstructured data; Big-data unsupervised Azure; Proficiency and experience building AI models with a deep learning framework such as TensorFlow Theano; Ability to select hardware to run an ML model with the required latency; Exposure to Project Management;
focus on Prescriptive Analytics and Predictive Modelling. ● Engage with internal business clients with ● Create algorithms and build machine learning models to enhance product offerings and solve business systems to track model performance. ● Presentation of data science opportunities and model outcomes to a ● Experience or familiarity with data science model operationalization on-prem or in the cloud (GCP
and dashboard development, database and semantic model development using technologies such as DAX for Power Fundamentals Knowledge in Dimensional semantic model design principles (Star schema) Knowledge in DAX Knowledge in PowerBI components (Power Query, modelling, report visualisation) Knowledge in PowerBI online retrieval and manipulation Responsible for semantic model development using SQL queries and views. Responsible regular basis Responsible for documenting data models, processes and BI solutions for future reference
BW / SAP SAC. Data Modelling and data engineering skills. SAP BW 7.5 Data Modelling and BEX skills SAP SAP BW4/HANA Data Modelling skills SAP BW4/HANA Query Modelling skills Any additional responsibilities responsibilities assigned in the Agile Working Model (AWM) Charter ADVANTAGEOUS TECHNICAL SKILLS SAP Analysis for Office
business to identify and build exceptional business models that identifies patterns and insights that call stakeholders by creating various business and data model to help achieve our business goals. . Data Analysis to support decision-making processes. Business Modelling and identifying patterns in the data: Design and and implement business performance models to help achieve strategic objectives. Design, implement and of strategies based on the business performance models. Analyse complex datasets to identify trends, patterns
data extraction, data mining, data modelling, and predictive modelling
experience. Duties will include: Target Operating Model Business Architecture Cataloguing of services and Qualification At least 15 years exp with Target Operating Model. Market Related
environment, including call management, fixing models, investigating possible improvements, and building concerns related to the QlikView BI environment and models (SLA management). Building new ETLs to support
Operating Models with finesse and flair. Experience in the following is required: Target Operating Model Business
Description