9 of 9 Statistical Modelling Jobs in the North West

join our growing Data & Technology team. This role offers the opportunity to work on a diverse range of projects, including advanced analytics, predictive modelling, machine learning, business intelligence, and process optimisation. A key part of the role will involve supporting the implementation of Oracle ERP and Warehouse Management Systems … innovation. • Support the implementation of Oracle ERP and WMS, contributing to data migration, reporting design, data structures, and system integrations. • Develop predictive analytics and statistical models to optimise business processes and improve operational efficiency. • Work alongside software developers to create intelligent, data-driven applications and systems. • Maintain and improve ...

fosters a dynamic synergy between data science, product development, pharmaceutical industry experts, and engineering. Our deep expertise in artificial intelligence, machine learning, and advanced statistical modelling, combined with our domain knowledge, enables us to deliver comprehensive solutions that empower our clients to stay ahead in a rapidly evolving ...

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 ...

security, monitoring, and operational best practices. Excellent communication, leadership, stakeholder management, and problem-solving skills. Highly Desirable Strong Data Science background, with experience in statistical modelling, predictive analytics, feature engineering, experimentation, and model evaluation. Experience applying Data Science methodologies to solve complex business problems and identify opportunities ...

/ML development, preferably in mobile applications. Proficiency in Python , TensorFlow , PyTorch , or other ML frameworks. Experience with deep learning, NLP, computer vision , and statistical modeling. Familiarity with cloud-based ML services (AWS, Google Cloud, or Azure). Strong understanding of data structures, algorithms, and software engineering best practices ...

integrated into reliable systems and user-facing solutions. Alongside pipeline development and quality assurance, you will support the productionisation of machine learning and statistical models, helping to ensure analytics solutions are scalable, efficient and maintainable. You will contribute to embedding software engineering best practice across analytics delivery, supporting consistent ...

developing, and deploying advanced data science solutions across Kalibrate's product portfolio. This role focuses in particular on our pricing product suite, applying leading statistical, machine learning, and AI techniques to deliver innovative solutions for fuel pricing while contributing to the technical excellence of the Data Science Research team. … responsibilities include: Data Science Solution Development & Delivery o Apply statistical and econometric modeling, time series analysis, optimization methods, and generative AI to develop improved approaches to demand modeling, elasticity estimation, price recommendation, competition analytics, and related challenges. o Develop reusable tools, frameworks, and components to support and accelerate delivery ...

role The mission of Borrowing ML Scientists is to improve the customer and business outcomes through better automated decisioning, using Machine Learning and Statistical modelling. We have a primary focus in credit risk modelling, with our expertise also applied to predict and optimise utilisation, pricing, collection and marketing. … applicants to have prior experience of all them): Google Cloud Platform for all of our analytics usages BigQuery SQL and dbt for our data modelling and warehousing PyData stack for model development and offline deployment Google Vertex AI platform for cloud computing AWS for backend infrastructure Python ...

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. ...