6 Propensity Modelling Jobs with Hybrid or WFH Options

you will: Work on a variety of machine learning projects end-to-end to create business value, focusing mainly on time series forecasting and propensity modelling Deploy machine learning models to the cloud Collaborate with Data Engineers and Software Engineers SKILLS AND EXPERIENCE Strong academic background to Degree more »

Build a strategic understanding of the business, employ a consultative approach to distil complex requirements into robust data science models such as regression and propensity models, time-series modelling, ensemble methods, or neural networks for optimal decision-making. Spearhead initiatives with cross-functional stakeholders. ● Opportunity Identification: Partner with more »

Build a strategic understanding of the business, employ a consultative approach to distil complex requirements into robust data science models such as regression and propensity models, time-series modelling, ensemble methods, or neural networks for optimal decision-making. Spearhead initiatives with cross-functional stakeholders. ● Opportunity Identification: Partner with more »

Build a strategic understanding of the business, employ a consultative approach to distil complex requirements into robust data science models such as regression and propensity models, time-series modelling, ensemble methods, or neural networks for optimal decision-making. Spearhead initiatives with cross-functional stakeholders. ● Opportunity Identification: Partner with more »

languages such as Python, SQL, and others to implement statistical methods effectively addressing specific business problems. You will be working extensively on forecasting/propensity modeling. Develop robust models and perform data-driven analyses to support strategic decision-making processes. Innovate and enhance existing methodologies by creating new data … for this role, please submit your CV to Luc Simpson-Kent through the application link provided on this page Desired Skills and Experience Forecasting, Propensity, Python more »

and Python for conducting analytics work, understanding customer behaviour, lifetime value, retention, etc. and deployment of segmentation models to fully understand the customer base, propensity models to predict future customer behaviour, and customer frequency modelling different business problems and how data can help the business YOUR SKILLS AND more »