13 of 13 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 ...

Documents Gigaclear is building a market-leading Commercial Insight & Intelligence capability that will enable every commercial decision to be supported by data, insight and predictive analytics. The Commercial Insight & Intelligence Analyst will play a key role in transforming data into actionable commercial insight, supporting teams across Marketing, Sales, Customer … Services and Commercial Strategy & Propositions. Working as part of a growing analytical team, the role will develop reporting, dashboards, commercial analysis and predictive insight that improve customer acquisition, retention, pricing, proposition development and customer lifetime value. The role offers an excellent opportunity for an analytically minded individual to develop ...

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 ...

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 ...

join our team. In this role, you will leverage your advanced analytical skills and programming expertise to extract insights from complex datasets, develop predictive models, and support decision-making for our diverse range of customers. As a junior contributor, you will work on a variety of data-driven projects … help implement scalable solutions. Key Responsibilities Data Analysis & Modelling: Analyse large, complex datasets to identify trends, patterns, and actionable insights. Develop, implement, and optimize machine learning models to solve business problems. Conduct A/B testing and experimental analysis to validate hypotheses. Data Management & Engineering: Collaborate with data engineering ...

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/ ...

Technologies seeks a Data Scientist I to join our global team. You will analyse complex datasets, build predictive models, and support decision-making for diverse clients, including retail and energy brands, across real‐time insights and insights-driven decisions. As a junior contributor, you will collaborate with data engineers ...

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 ...