8 of 8 Permanent Predictive Modelling Jobs in the Thames Valley

Databricks | Machine Learning | Statistics | Time Series Forecasting | Propensity Models Role: Senior Data Scientist, Lead Data Scientist, ML Scientist, AI Data Scientist, Statistical Data Scientist, Predictive Analytics Key Skills: Senior Data Scientist, Data Scientist, Machine Learning, Artificial Intelligence, Predictive Analytics, Statistical Modelling, Python, SQL, PySpark, Azure, Databricks, MLflow … GitHub Actions, CI/CD, Time Series Forecasting, Propensity Modelling, Feature Engineering, Data Engineering, Azure Machine Learning, Azure Data Platform, Experiment Design, A/B Testing, Hypothesis Testing, Predictive Modelling, Customer Analytics, Marketing Analytics, Customer Lifetime Value, Churn Prediction, Demand Forecasting, Stock Forecasting, Production Machine Learning, Cloud ...

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 ...

Opportunity Working within a highly collaborative research environment, you will contribute to the development of innovative lipid libraries through cheminformatics, machine learning and molecular modelling approaches. You will help drive chemical space exploration, predictive modelling and data-driven decision making, supporting the discovery of next-generation therapeutics. … lipid-based compounds. Analyse internal and external chemical datasets. Develop workflows for lipid classification and feature extraction. Build and refine virtual lipid libraries. Create predictive AI/ML models linking molecular structure to biological outcomes. Support compound prioritisation and diversity selection strategies. Collaborate across computational chemistry, formulation and experimental ...

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. ...

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 ...

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 ...