analysing and documenting a range of predictive credit models across the entire credit life cycle. Key Responsibilities Designs, constructs and documents appropriate models and strategies across the collection's life cycle collections and recovery results by integrating models and data-driven approaches into operational processes improvement. Bachelor's degree: a numerical degree in statistics, computer science, engineering, mathematics, compulsory (R and/or Python) or other leading statistical software, i.e., Tableau or PowerBI. Proficient
Maintenance (RCM), Predictive Maintenance Techniques, Statistical process control, Design Out Maintenance in projects cost analysis (RAMs), Production-Availability-Modelling, Documentation management. Associated software
various Supply Chain Business units Compile statistical analytics, define KPI objectives and present data repository of HSE incidents and supply statistical reporting Take preventative action to limit similar
various Supply Chain Business units Compile statistical analytics, define KPI objectives and present data repository of HSE incidents and supply statistical reporting Take preventative action to limit similar
current axles and suspensions can be modelled in 3D Being able to model 3D parts from 2D drawings Convey Application Engineer if any models are required from BPW KG to complete models Complete models to customer requirements
To provide the relevant statistics and reports weekly, monthly and for formal reviews. Manage Contractor
chemicals according to the protocols. Data capture. Statistical analyses. Interpretation of results. The writing
based on industry research, internal reports and statistics. ● Recommend, implement and monitor both medium
Have a good knowledge and understanding of statistical control systems like Shopware and Wonderware
wide variety of reports, letters, memoranda and statistical charts; from rough draft or verbal instruction;