Tender & IFC information model issued by consultants (2D drawings, BIM models & asset data) as per Lead, Supervise ,Coordinate and support all BIM modelers in the project. Technical management of project Ensure BIM QA/QC & maintain healthy models. Audit and review models in Autodesk Revit. Support the Design software platforms. Managing interferences between BIM models of different disciplines (Architecture, Structure information into the BIM model. Demonstrates Building Information Modeling skills in a required software
using sophisticated analytics and Machine Learning models to address difficult business challenges and generate departments to design data strategies, build models, and embed those models into software-driven business processes Feature Engineering, and Model Evaluation. DUTIES: Data Analysis and Modeling – Develop and deploy Machine Machine Learning and Artificial Intelligence models and algorithms to extract insights, predict outcomes data for modeling. Work with Data Engineering teams to ensure data availability and quality. Model Evaluation
available within the consulting industry for a Revit Modeler / CAD Technician within the infrastructure department maintain Civil 3D models, drawings, and details Collaborate with other engineers and modellers to ensure spatial spatial coordination and clash free models Ensure that the details developed are technically feasible project experience in modelling and drafting using Civil 3D daily to produce models and project deliverables deliverables Extensive experience modelling and drafting underground utilities including ancillary structures
Analysis and Modelling: Develop and deploy machine learning and artificial intelligence models and algorithms data for modelling Work with data engineering teams to ensure data availability and quality Model Evaluation Deployment: Evaluate model performance and fine-tune models for improved accuracy Deploy models in production Implement best practices for model version control and management Ensure proven models are integrated into business requirement for human intervention to implement the model within their respective businesses Cross-Functional
Analysis and Modelling: Develop and deploy machine learning and artificial intelligence models and algorithms data for modelling Work with data engineering teams to ensure data availability and quality Model Evaluation Deployment: Evaluate model performance and fine-tune models for improved accuracy Deploy models in production Implement best practices for model version control and management Ensure proven models are integrated into business requirement for human intervention to implement the model within their respective businesses Cross-Functional
quantitative methodologies and advanced mathematical models. Your expertise will drive analytical insights Design, build, and optimize advanced mathematical models and analytical solutions to address business challenges practices. Model Maintenance and Validation: Regularly audit, update, test, and validate models to ensure business decision enhancements through statistical modeling and data analysis. Collaboration and Stakeholder of experience in a similar role, with strong modelling expertise. Proficiency in statistics. Experience
quantitative methodologies and advanced mathematical models. Your expertise will drive analytical insights Design, build, and optimize advanced mathematical models and analytical solutions to address business challenges practices. Model Maintenance and Validation: Regularly audit, update, test, and validate models to ensure business decision enhancements through statistical modeling and data analysis. Collaboration and Stakeholder of experience in a similar role, with strong modelling expertise. Proficiency in statistics. Experience
frameworks and algorithm tuning
Qualifications
he Data and BI Analyst will be assisting the modelling and analytics team with all analytics, reporting business on key business metrics and assist the modelling team to drive strategic decision-making and better enable quantitative analysis for statistical and modelling team. Explore data to understand its structure trends, and correlations. Design and build data models, dashboards, and reports using business intelligence
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