51 to 54 of 54 Feature Engineering Jobs in the UK

machine learning or statistical models in surveillance or conduct risk contexts. Key Responsibilities Independently validate and periodically review trade surveillance models for robustness and regulatory compliance Evaluate data quality, feature engineering, and model performance across surveillance systems Review model documentation for conceptual soundness, implementation quality, and governance controls Conduct benchmarking, backtesting, and stress testing using Python to challenge More ❯

or a related field. Proficiency in programming languages such as Python, R, or similar, along with experience with machine learning frameworks. Strong understanding of statistical analysis, data processing, and feature engineering. Experience of working in a Consultancy and being client-facing is beneficial Security Clearance is required for this vacancy. Candidates will need to have DV Clearance. Reasonable Adjustments More ❯

Retail or similar industries with a proven track record of delivering effective business solutions.Experience in application of ML concepts and methodologies (particularly time series modeling, but also regression, classification, feature engineering and selection etc.)Proficiency in SAS, SQL, Python, and other programming languages to communicate effectively with technical teams. Excellent communication and presentation skills, ability to explain complex More ❯

talented, collaborative and enthusiastic group who use our expertise to derive insights from complex data, working in close collaboration with our business partners. This role will primarily focus on feature engineering and insight generation from new types of data and the development of machine learning models to address critical business challenges in underwriting. What you'll do Develop … and maintain the machine learning models which define our competitive advantage in the financial services market. Explore and evaluate data, using advanced feature generation and categorisation techniques, in order to stay at the forefront of innovation. Analyse tabular and non-tabular data, such as text, logs, or time series, to produce powerful new insights. Consult on complex statistical test … and extract actionable solutions, working cross-functionally to support key business initiatives and drive sustainable growth. What we're looking for A strong understanding of probability, statistics, machine learning, feature extraction and familiarity with large data set manipulation. Experience using deep learning models, particularly for sequential data. Experience working with Open Banking or Credit Bureau data. Experience working with More ❯