6 of 6 Predictive Modelling Jobs in the City of London

scikit-learn. Experience with cloud services for mode training and deployment. Machine Learning Fundamentals Statistical concepts for robust data analysis. Linear algebra principles for modelling and optimisation. Calculus for optimising algorithms and models. Predictive modelling techniques for regression and classification. Time series analysis for handling time-dependant ...

more. Leading model development from the ground up to drive business impact. A great next step for a data scientist who thrives in the modelling space. Were looking for a commercially minded Senior Data Scientist with a passion for building risk models. If youre the kind of data scientist … risk (we cant stress that enough!). Were looking for someone technically strong (likely a data scientist or similar) with a proven background in modelling risk across different environments. As part of a specialist Risk Modelling Team, youll operate in a collaborative, matrix-style environment. Your work will ...

years, successfully developing statistical models and analytical frameworks. The successful Quantitative Analyst will work within the prediction team, using extensive datasets to enhance existing predictive models as well as researching new methods. The role will be working alongside a team of Quants, Developers, and Analysts. Due to the nature … business this is mainly an office-based role. Experience required: 3+ years' experience within predictive modelling, machine learning, and probability theory. Ideally this would be within sports or gaming/betting industries. Understanding of techniques such as Monte Carlo simulation, Bayesian modelling, GLMs, mixed effects models, time ...

candidates today for this to be possible. Interviews next week apply asap/Today Key Responsibilities: Build and optimize AI/ML pipelines for predictive modelling, NLP, and generative AI applications click apply for full job details ...

data, and help make data driven decisions to deliver better products, service and relevance to the customers. THE ROLE Customer Science Develop and implement predictive models to understand drivers of customer behaviour, including purchase patterns, customer lifetime events and sentiment analysis Create sophisticated customer segmentation using behavioural, transactional … demographic data Design and build predictive models to enhance personalized customer experiences across all channels Collaborate on design of test & learn methods to measure CRM initiatives' effectiveness Monitor and optimize model performance through continuous improvement cycles Technical Implementation Transform analytical solutions into production-ready code Implement models within ...

blend spatial analysis, advanced analytics, and problem-solving to turn geospatial data into actionable insights. You'll work with large, complex datasets, build predictive models, and support data-driven decisions across the organisation. If you love maps, patterns, and answering real-world questions with data, this role has your … Responsibilities Acquire, clean, and manage geospatial datasets from diverse sources Perform spatial analysis, spatial statistics, and geoprocessing to support strategic and operational projects. Develop predictive models and machine-learning workflows using spatial and non-spatial data. Build and maintain spatial databases, data pipelines, and automated ETL processes. Create high ...