11 of 11 Permanent Predictive Modelling Jobs in the Thames Valley

helping teams across Marketing, Sales, Customer Services and Commercial Strategy make better, evidence-based decisions. The role will cover reporting, customer analytics, forecasting and predictive modelling, with exposure to increasingly automated and AI-enabled analytics. Hybrid working – 3 days in Oxfordshire office, 2 from home Key Responsibilities Develop … behaviour, demographics, competitor activity and market trends. Help develop and maintain commercial intelligence datasets and improve the quality and accessibility of commercial data. Support predictive modelling across acquisition, churn, upgrades, customer lifetime value, marketing performance and forecasting. Analyse pricing trials, marketing campaigns, proposition launches and other commercial experiments ...

world impact. About the Role As a specialist in bioinformatics and computational biology, you'll bring deep expertise in large-scale omics data and modelling methods and take a leading role in building the tools we use to make sense of high-throughput biological data. As an integral member … multi-omics data (transcriptomics, proteomics, metabolomics) : from raw data QC and processing through to differential analysis, integration across data types, and biological interpretation Mechanistic modelling and AI/ML pipeline development experience : building, training, and validating models that generate testable biological hypotheses, and understanding when a mechanistic, data-driven ...

shape the future of agriculture.Job DescriptionWe have an exciting opportunity for a a scientifically rigorous and innovative AI/ML Technical Expert to advance predictive safety and strengthen early research decision-making through data-driven and mechanistic approaches. Within the role working at the interface of biology, computational science … artificial intelligence you will translate priority safety questions into robust modelling strategies, interpretable insights, and scalable analytical capabilities. The role will contribute to the development of a predictive safety framework that enables earlier identification of risk, improves mechanistic understanding, and enhances the quality and confidence of decision-making ...

principles.Knowledge of process and discrete industriesProficiency in data analytics tools and programming languages such as Python, R, and SQL.Familiarity with advanced analytics techniques including predictive modeling and machine learning.ABOUT HONEYWELL TECHNOLOGIESHoneywell Technologies International Inc. invents and commercializes technologies that address some of the world’s most critical challenges around ...

following education, experience and skills Minimum Experience/Skills Required:Bachelor's degree in quantitative area Minimum of 8-10+ years experience applying predictive modeling techniques such as ML, decision trees, ensemble learning, neural networks etc, and data transformation such as data cleansing and integration, fuzzy matching, etc. ...

workflows such as reconciliations, journal validation, reporting preparation and data quality controls.Drive the adoption of next‐generation tools such as intelligent agents, RPA integrations, predictive models, and generative‐AI‐enabled reporting to significantly reduce manual effort and improve accuracy and speed within the Finance functions.Shape, digitally, financial planning processes ...

wants their work to shape the future of a new national champion.Key Responsibilities:Shape and deliver data driven collections and payments strategies, using predictive models and segmentation to optimise performance.Create customer focused engagement approaches that support timely repayment while driving fair and positive outcomes.Continuously assess and refine processes ...

based recommenders, embeddings and semantic retrieval, and real-time features — the models that drive discovery and conversion at scale.Lead data science and experimentation. Own predictive modeling, causal inference, and the experimentation platform and standards — A/B testing, guardrail metrics, and rigorous measurement of incremental business impact ...

challenges building proprietary software that makes a difference in the world. You will design, develop and maintain innovative tools spanning data management, traceability, visualisation, predictive modelling, material and component design, and production quality assurance. You’ll work closely with process engineers, technicians and material scientists to deliver high ...

heterogeneous geoscience datasets. Develop methods that preserve geological realism, respect subsurface uncertainty, and improve the conditioning of geological models to available data. Validate predictive models using blind tests, real-world datasets, geological quality checks, and product-relevant scenarios. Collaboration & Innovation Work closely with geoscientists, software engineers, data scientists … product teams to turn research ideas into practical prototype workflows. Stay current with relevant advances in AI/ML, geoscience analytics, and subsurface modelling, and assess how they can be applied within Landmark workflows. Lead and contribute to technical presentations, publications, patent disclosures, and internal knowledge-sharing activities. QualificationsPhD ...

molecular modeling insights. This generation might leverage reaction-based enumerations by considering available chemistry and building blocks. Create, validate and assess performance of predictive models relating lipid’s structure-based descriptors with formulation and in-vivo readouts. Specifically, create predictive models of Molecule-Particle relationships. Generate workflows … industrial experience. Proven experience applying cheminformatics and AI/ML methods to lipid analysis and design. Proven experience in data analytics, AI/ML modelling in the context of cheminformatics and solid grasp of statistical principles. Strong scientific programming skills (Python essential) and experience building data visualizations. Experience with ...