Senior Actuarial Predictive Modeler The Senior Actuarial Predictive Modeler creates predictive models with a primary focus on pricing segmentation and lifetime value. This role actively develops and implements actuarial pricing models and predictive segmentation strategies, applying
Essential Duties and Responsibilities: - Perform hands-on data analysis and modeling with huge data sets. - Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms. - Work side-by-side with product managers, software
Essential Duties and Responsibilities: - Perform hands-on data analysis and modeling with huge data sets. - Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms. - Work side-by-side with product managers, software
Data Science, Advanced Analytics, and AI/ML Solutions This role is focused on Data Science, Advanced Analytics, and AI/ML solutions. The candidate will work with large, complex, and structured/unstructured datasets to identify trends, solve business problems, and develop actionable
Generates reports and regular datasets or report information for end-users, using system tools and database or data warehouse queries and scripts. May create specifications for reports based on business requests. Designs, develops and programs methods, processes, and
Generates reports and regular datasets or report information for end-users, using system tools and database or data warehouse queries and scripts. May create specifications for reports based on business requests. Designs, develops and programs methods, processes, and
Job Summary (List Format): - Generate reports and datasets for end-users using system tools, databases, and scripts. - Create report specifications based on business requests. - Design, develop, and program methods and systems to consolidate and
Essential Duties and Responsibilities Accountabilities 1. Analyse programme, operational and external datasets to generate insight that supports policy development, consultation responses and commissioner engagement. 2. Apply exploratory data analysis, statistical modelling and predictive techniques to understand trends, outcomes and