5 of 5 Statistical Modelling Jobs in the North West

covering at least one of the following areas: Deep understanding of machine learning algorithms including supervised, unsupervised, and reinforcement learning approaches Strong proficiency in statistical modelling, time‐series forecasting, and predictive analytics Experience with deep learning frameworks (TensorFlow, PyTorch, Keras) Knowledge of prompt engineering, RAG (Retrieval Augmented Generation … code tools such as LangGraph, AutoGen, Semantic Kernal and MS CoPilot Experience in any of the following: Finance Forecasting: Revenue prediction, cashflow modelling, financial planning, risk modelling Energy Optimization: Load forecasting, grid optimization, demand response, renewable energy prediction Predictive Maintenance: Equipment failure prediction, anomaly detection, remaining useful life ...

stakeholders to deliver data driven solutions Requirements * Degree in Data Science, Computer Science, Statistics or a related discipline * Proven experience in data analysis, statistical modelling and machine learning techniques * Strong skills in Python, R and or SQL with experience using Power BI for data visualisation * Commercial awareness with ...

targeting Taking models end to end from problem definition through to deployment and monitoring Working with stakeholders to translate business questions into robust modelling approaches Partnering with engineers and analysts to productionise models and embed them into customer journeys Contributing to the development of a new Data Science platform … this role, you will bring: Strong commercial experience in Data Science or Machine Learning within a real-world environment Advanced Python skills for modelling and analysis, with solid SQL capability Experience delivering end-to-end data science solutions, including deployment Exposure to forecasting, statistical modelling or applied ...

large retail organisation undergoing a significant data and AI transformation. With a new customer loyalty programme launching this year, demand for advanced modelling, forecasting and personalisation is growing quickly. The culture is collaborative, inclusive and pragmatic, with a strong focus on delivering value at pace rather than over-engineering … Scientist, and wider data and commercial teams. Key responsibilities include: Designing and building customer-focused Data Science use cases such as segmentation, lifetime value modelling and demand forecasting Developing, testing and deploying machine learning models end to end, from problem definition through to production Contributing to the development ...

processes are embedded. Stakeholder Engagement Partner with Risk, Compliance, Product, and Technology teams to ensure solutions are commercially viable and regulator-ready. Communicate complex modelling approaches and outcomes clearly to senior stakeholders and non-technical audiences. Influence strategic decision-making through insight and evidence-based recommendations. Governance & Risk … only when deployed safely and embedded into business processes. They will be comfortable owning ambiguity, setting direction, and raising technical standards. They will combine statistical rigour with pragmatic decision-making and be confident influencing senior stakeholders. They will enjoy mentoring others and developing team capability alongside delivering impactful work. ...