Description SA Women's XV Head Coach Department: Rugby The invitation is for an experienced and qualified standards across all areas of the National Springbok Women's program. You will be responsible to drive the program throughout its World Cup Cycles to produce a Springbok Women XVs team that consistently ranks in the Top 8 globally Leadership Leadership of the National Springbok Women's program, accountable for macro–World Cup cycle system. Design, implement and manage the team Game Model and guiding principles for success. Develop and
Description SA Women's XV Head Coach Department: Rugby The invitation is for an experienced and qualified standards across all areas of the National Springbok Women's program. You will be responsible to drive the program throughout its World Cup Cycles to produce a Springbok Women XVs team that consistently ranks in the Top 8 globally Leadership Leadership of the National Springbok Women's program, accountable for macro–World Cup cycle system. Design, implement and manage the team Game Model and guiding principles for success. Develop and
Experience in coaching women is preferable Responsibilites: Leadership Lead a Women's Rugby program, focusing athletes and staff Develop and manage the team Game Model, attack, and defense strategies Oversee coaching
documentation, even under deadlines. Hybrid work model Qualifications we look for: Essential Qualifications: understanding. Salt is acting as an Employment Agency in relation to this vacancy.Only qualified candidates consideration. Salt is acting as an Employment Agency in relation to this vacancy.Only qualified candidates
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
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 random forest, etc) Ability to train and maintain models Data cleaning and pre-processing (Size, data distribution 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:
candidate will develop software tools and data models to improve interpretation of mineralogical data mining/ metallurgical industry and related research agencies, in line with Division's current business plans development to extract appropriate information and modeling, simulation and interpretation of mineral behaviour J, VG StudioMax, Aviso, etc.). Coding and/or modelling experience, preferably with mineralogical/metallurgical/chemical
candidate will develop software tools and data models to improve interpretation of mineralogical data mining/ metallurgical industry and related research agencies, in line with Division's current business plans development to extract appropriate information and modeling, simulation and interpretation of mineral behaviour J, VG StudioMax, Aviso, etc.). Coding and/or modelling experience, preferably with mineralogical/metallurgical/chemical
cutting-edge analytical insights, including predictive modeling. Design and implement programs to optimize communication operational excellence within our retention call center model. Leverage your consumer marketing experience to campaigns, backed by data-driven insights. Manage agency/vendor relationships and budgets effectively to ability to leverage segmentation and predictive modeling to drive results. If you're ready to make your
cutting-edge analytical insights, including predictive modeling. Design and implement programs to optimize communication operational excellence within our retention call center model. Leverage your consumer marketing experience to campaigns, backed by data-driven insights. Manage agency/vendor relationships and budgets effectively to ability to leverage segmentation and predictive modeling to drive results. If you're ready to make your