14 of 14 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 ...

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 ...

Data ScientistBerkshire - Hybrid 2 days office attendance Are you ready to shape the future of predictive analytics in financial services? We are looking for a versatile Data Scientist to help to build and scale our clients data science practice. Sitting at the heart of the Data team, you will … apply machine learning, predictive modelling, and statistical rigor to tackle real world business challenges across customer behaviour, risk, and pricing. What You'll Do·Build End-to-End Solutions: Scope, design, train, and deploy production-ready ML models and statistical experiments. ·Shape the Platform: Collaborate with Data Engineering ...

data science or advanced analytics. Advanced practical capability in Python and SQL. A strong grounding in statistics and machine learning. Experience developing and validating predictive models. Experience with customer, transactional, behavioural or digital data. Understanding of experimentation and statistical measurement. Analytical curiosity paired with pragmatic commercial judgement. The ability ...

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. ...

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 ...

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 ...

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 ...

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 ...

Harnham in London is seeking a Quantitative Analyst to build predictive models forecasting sporting outcomes and driving trading performance. You will develop statistical models, test ideas on large datasets, and collaborate with researchers, traders, and engineers in a highly technical, autonomous environment. The role requires a strong maths/ ...

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. Qualifications ...

IT. You will lead cross-functional teams to deliver scalable, trusted, and sustainable digital products that turn experimental and observational data into actionable insights, predictive capabilities, and decision-support solutions. What You Will Do Define and drive the POD vision, value hypotheses, multi-horizon roadmap, and product portfolio strategy. … outcomes through Agile/Lean product practices. Strong product strategy capabilities, including vision setting, roadmapping, portfolio management, prioritization, and value measurement. Experience with analytics, predictive modeling, decision intelligence, planning, forecasting, optimization, or AI-enabled digital products. Understanding of AI/ML and agentic AI concepts, including human ...