Senior Data Scientist

Senior Applied Data Scientist London (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 models Working heavily with propensity modelling and clustering Apply machine learning, statistical, and econometric methods to a range of other customer data science problems Working closely within a team to understand, troubleshoot, and maintain machine learning models Maintain 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 advancements Requirements: PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Strong coding skills in Python, R or MATLAB Excellent communication skills Knowledge of databases and SQL How 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