ML Data Scientist (Probabilistic Graphical Models)
AMS is a global workforce solutions partner committed to creating inclusive, dynamic, and future-ready workplaces. We help organisations adapt, grow, and thrive in an ever-evolving world by building, shaping, and optimising diverse talent strategies.Our Contingent Workforce Solutions (CWS) is one of our service offerings. Acting as an extension of their recruitment teams, we connect them with skilled interim and temporary professionals, fostering workplaces where everyone can contribute and succeed.Our client, a major UK retail bank, provides every day banking services to over 17 million retail customers. The banks expertise and services span across Business Services, Corporate banking, Wealth Management, Group Functions, Retail and Investment Banking.On behalf of this organisation, AMS are looking for a Graph, ML Data Scientist for a contract due to run until December 2026 based in either the London or Edinburgh office on a hybrid working model.Purpose of the role:The Graph, ML Data Scientist will specialise in leveraging graphical models (such as Bayesian networks and Markov models) and probabilistic reasoning techniques to uncover insights from complex data sets using advanced data analysis and predictive modelling.What you''ll do:Design, develop and deploy advanced graph analytics models and algorithms to uncover patterns, anomalies and relationships within large-scale graph datasets.Collaborate with cross-functional teams including product, engineering, and business ..... full job details .....
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