5 of 5 Predictive Modelling Jobs in Oxfordshire

develop computer vision systems for the transformation pipeline, validation of phenotyping and automation tools, and performance optimization. Lead the data strategy and validation of predictive ML models to optimize transformation efficiency and regeneration success. Partner with AIR and data engineering teams to establish robust data pipelines for predictive modelling using multilayer phenotyping and automation data in high‐throughput transformation pipelines. Provide scientific and project leadership to researchers and engineers in applied AI/ML and automation engineering within a matrix team structure. Co‐develop and manage project plans, timelines, and reporting frameworks to ensure delivery ...

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 ...

services. You will collaborate with analysts and traders to develop market forecasts and productionise models. You will engineer features from complex datasets, build scalable predictive models, visualize insights for quick risk decisions, and help automate trading workflows. We offer a hybrid work model and strong development opportunities. #J ...

Developing market forecasts for our trading teams, who trade the wholesale electricity and ancillary service markets in GB Building, prototyping, testing, and scaling parallelised predictive models to forecast electricity market prices, volumes and value across wholesale and ancillary markets Cleaning complex datasets, engineering high-value temporal features, and accounting … this topics Working with tech teams to source data to underpin your work and help them productionise your applications Preferred Technical Skills Time-series modelling (ARIMA, SARIMA, etc.) and - Tree-based & gradient boosting models (XGBoost, LightGBM, NGBoost) Expertise/knowledge of internally stored data & data consumers as well ...

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. Qualifications ...