Senior Applied Data ScientistLondon (Hybrid, 3 days per week & 1/2 days per month in Hertfordshire)Company:This company is a global leader in Customer Data Science, who work across customer analytics and loyalty as a consultancy services allowing you to work with market-leading businesses & retailers!Responsibilities:Work on designing and building advanced demands forecasting modelsWorking heavily with propensity modelling and clusteringApply machine learning, statistical, and econometric methods to a range of other customer data science problemsWorking closely within a team to understand, troubleshoot, and maintain machine learning modelsMaintain and enhance existing ML models, ensuring all models are deployed in production are monitored.Stay updated with the latest developments in ML/AI, and related fields to keep the company at the forefront of technological advancementsRequirements:PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields.Strong coding skills in Python, R or MATLABExcellent communication skillsKnowledge of databases and SQLHow to Apply:Register your interest by sending your CV to Emily Burgess via the Apply link on this page.Keywords:Data Science, Machine Learning, Retailers, Pricing, Price optimisation, Demand Forecasting, Customer