6 of 6 Time Series Analysis Jobs in England

Best Action/recommendation systems to drive customer engagement and value Delivered customer segmentation models (e.g. clustering, behavioural segmentation, lifecycle modelling) Strong experience in time series analysis and forecasting (e.g. demand, revenue, customer behaviour trends) Worked end-to-end in production data science environments , not just proof … statistics, probability, linear algebra, and applied mathematics Experience delivering models such as: Churn prediction models Customer segmentation frameworks Next Best Action/propensity models Time series forecasting models About You MSc, PhD, or equivalent experience in a highly quantitative discipline (e.g. Mathematics, Statistics, Physics, Computer Science, Data Science ...

work alongside our clients to extract and leverage key insights driven by our Data Science and Analytics expertise and capabilities. It’s an exciting time to join our Data Science Team as we grow together to keep up with client demand and launch offerings to the market. In your … environment, with a proven track record of successfully delivered work across the ML lifecycle and a strong foundation in statistical modelling, natural language processing, time-series analysis, spatial analysis, and mathematical modelling methodologies. Keen to demonstrate the potential that Agentic & Gen AI has to offer ...

value and potential of AI and advanced analytics through workshops, presentations and client engagements Applying modern data science techniques including statistical modelling, NLP, time-series analysis, spatial analysis and mathematical modelling Collaborating with multidisciplinary teams to deliver high-quality solutions in a fast-paced consulting environment ...

team. As a Lead Data Analyst, you’ll drive analytics within a dedicated customer operations model where we improve how we resolve complex and time‐sensitive customer issues—speed, reliability, quality, and end‐to‐end outcomes—and scale what works across our wider Operations teams Most importantly … servicing interventions at scale. Predictive Modeling and Cause and Effect Analysis. Develop and implement robust models to predict outcomes and perform cause and effect analysis to identify key drivers, optimise processes, and enhance decision-making and strategic planning. Causal Inference and Quasi-Experimental Analysis. Develop robust approaches to cause ...

ensuring reliability and accuracy. Predictive Modeling and Cause and Effect Analysis. Develop and implement robust models to predict outcomes and perform cause and effect analysis to identify key drivers, optimise processes, and enhance decision-making and strategic planning. Strategic Support and Analysis. Provide critical insights to assess the operational … health of FinCrime function, conduct in-depth cost analysis, and offer detailed analysis of operational metrics (including quality) to understand impacts on customer experiences. Performance Tracking and Initiative Optimisation. Monitor and track the performance of key strategic initiatives, capitalising on optimisation opportunities to enhance operational outcomes. KPI Implementation ...

quant research, systematic strategies, or data-driven trading Solid understanding of data structures, algorithms, and software engineering best practices Familiarity with market data, time-series analysis, or trading system design Ability to work independently while collaborating closely with a small, high-calibre team Comfortable with a hybrid ...