26 to 50 of 392 Predictive Modelling Jobs in England

14. You'll analyse customer and campaign data to understand behaviour, uncover opportunities and deliver actionable insight. You'll support audience targeting, segmentation and modelling activity, helping to ensure our marketing communications are relevant, effective and customer-focused. You'll also evaluate marketing performance, measure ROI and provide clear … strong track record of using customer data and advanced analytics to identify opportunities, understand customer behaviour and improve marketing effectiveness. Experience in customer segmentation, predictive modelling, propensity modelling, lookalike audience modelling and audience targeting is essential, and you'll be confident using these approaches to identify ...

business stakeholders to shape strategy, ensure integration across systems, and champion data modernisation at scale. If you're passionate about data and AI modelling, reporting, analytics and AI and making data accessible and actionable - we want to hear from you. You'll own the delivery of analytics … learning to business questions, delivering automation that cuts manual effort and unlocks new insight. You'll focus your energy on dimensional and semantic data modelling, analysis, AI application, and insight delivery - working with modern cloud platforms and data and AI infrastructure. You will work closely with and lead business ...

training re-rankers. Entity/relationship extraction/resolutionKnowledge Graphs; building and inference, graphRAGRecommendation systems and ranking: personalisation, learning-to-rank, feed ranking, user modelling, etc. Tabular ML: feature engineering, structured data modelling (GBDTs, etc.)Statistical & Predictive Modelling: supervised ML, anomaly detection, temporal modelling, etc. ...

looking for a talented Data Scientist to join a growing data and analytics team, helping turn complex datasets into meaningful insights and predictive solutions. This is an excellent opportunity for a mid-level Data Scientist who enjoys solving real-world business problems and wants the opportunity to work across … identify trends, patterns and opportunities. Use Python and SQL to extract, manipulate and analyse data. Perform exploratory data analysis and feature engineering. Build predictive models and evaluate their performance. Work closely with Data Engineers to ensure reliable and scalable data pipelines. Translate technical findings into clear recommendations ...

following areas would also be beneficial: Generative AI and machine learning concepts and applications Structured and unstructured data management Statistical analysis and predictive modelling AI-enabled analytics and automation solutions Qualifications Qualification in a Highly Numerate Subject (e.g. Computer Science, Operational Research, Statistics, Mathematics, Engineering, or Economics … Experience in applying various analytical techniques (e.g. naïve bayes, decision trees, random forest, xgboost and k-means), to calculate problems such as predictive forecasting, prescriptive action, capacity planning. Experience of working in teams, managing the workload of junior team members, and coaching junior staff Interest in emerging AI technologies ...

training re-rankers. Entity/relationship extraction/resolutionKnowledge Graphs; building and inference, graphRAGRecommendation systems and ranking: personalisation, learning-to-rank, feed ranking, user modelling, etc. Tabular ML: feature engineering, structured data modelling (GBDTs, etc.)Statistical & Predictive Modelling: supervised ML, anomaly detection, temporal modelling, etc. ...

rankers. Entity/relationship extraction/resolution Knowledge Graphs; building and inference, graphRAG Recommendation systems and ranking: personalisation, learning-to-rank, feed ranking, user modelling, etc. Tabular ML: feature engineering, structured data modelling (GBDTs, etc.) Statistical & Predictive Modelling: supervised ML, anomaly detection, temporal modelling, etc. ...

that successful solutions are reproducible, scalable and capable of delivering measurable value. This reflects the JD's requirement for technical leadership, methodological authority, advanced modelling and translation of strategic and operational challenges into Data Science problems. Main duties of the job The Opportunity You will have the opportunity … culture Job description Job responsibilities Who are we looking for? We are looking for an accomplished Data Scientist with substantial experience in advanced statistics, predictive modelling and Machine Learning, together with strong technical capability in Python and SQL. You will understand how to translate complex problems into clearly ...

analytics strategies and driving successful data-driven initiatives. Proficiency in SQL for data extraction, manipulation, and analysis. In-depth knowledge of statistical analysis techniques, predictive modelling, and advanced machine learning algorithms. Strong experience with data visualization tools such as Tableau, Power BI, or similar. Experience with data blending ...

producing high-quality outcomes. Responsibilities Deliver data science projects, from problem definition through to actionable insights and presentation of results Develop and apply predictive modelling, supervised and unsupervised machine learning techniques to optimise client operations and business outcomes Build and maintain data pipelines, ensuring data quality, consistency … enhancement of Sagacity’s data science and analytics product suite Competencies and Experience 2+ years’ experience in data science, analytics, or statistical modelling, ideally with commercial experience within the Telecoms, Banking or Utilities industries; or within a data-related consultancy Educated to degree level (postgraduate preferred) in a quantitative ...

producing high-quality outcomes. Responsibilities Deliver data science projects, from problem definition through to actionable insights and presentation of results Develop and apply predictive modelling, supervised and unsupervised machine learning techniques to optimise client operations and business outcomes Build and maintain data pipelines, ensuring data quality, consistency … enhancement of Sagacity's data science and analytics product suite Competencies and Experience 2+ years' experience in data science, analytics, or statistical modelling, ideally with commercial experience within the Telecoms, Banking or Utilities industries; or within a data-related consultancy Educated to degree level (postgraduate preferred) in a quantitative ...

Microsoft Fabric, Power BI and related tools to prepare, model, validate and analyse data, improving data quality, reporting reliability and insight. Apply statistical, predictive and machine learning techniques where appropriate to identify patterns, forecast trends, support segmentation, evaluate impact and generate practical recommendations. Train and mentor other members … Finance, Governance, Data Protection, Change and Transformation, and other teams to deliver joined-up data products and insight. Define and promote Power BI, data modelling and governance standards, including documentation, validation, accessibility, metadata, lineage, security and appropriate use of sensitive data. Your experience: Must Haves: Experienced in data science ...

advanced analytical, machine learning and AI solutions to solve complex business problems. Working across customer, claims, strategy and underwriting domains, you'll combine statistical modelling, predictive analytics and modern machine learning techniques to generate actionable insights and support decision making at scale. You'll work closely with business … gathering, solution design, quality assurance, stakeholder updates and presentation of outputs. Your work will include designing, building and improving machine learning solutions such as predictive models, segmentation and forecasting. The team is also exploring and delivering Generative AI/Large Language Model solutions, providing opportunities to work with modern ...

processing. Design and conduct of statistical and machine learning models to analyse patterns, trends, and relationships in the data. Development and implementation of predictive models to forecast future outcomes and identify potential risks and opportunities. Collaborate with business stakeholders to seek out opportunities to add value from data through ...

work processes. Strong PowerPoint and presentation/communication skills. Strong data visualisation skills using tools like Tableau, Spotfire, Power BI etc. Expertise in predictive modelling, including both parametric (e.g. logit/probit) and non-parametric (e.g. random forest, neural net) techniques as well as wider ML techniques like ...

service resilience and customer outcomes. You will work closely with software engineers, SREs, product managers, platform teams and business stakeholders to identify opportunities, build predictive models, evaluate AI solutions and take products from concept through to production. The ideal candidate combines strong technical expertise with commercial awareness … WHAT YOU'LL BE DOING AI & Machine Learning Solutions Design Design, build and deploy machine learning models to solve operational and business challenges. Develop predictive analytics capabilities focused on incident prevention, service health, operational risk and customer experience. Support the development of Generative AI applications leveraging LLMs, retrieval systems ...

that they are both competitive and profitable. About the role: The role holder is responsible for defining and leading the delivery of UKLB's Predictive Analytics initiative to support growth across all its lines of business by developing predictive models and harnessing data driven insights to meet … ambitions. Key Responsibilities: Define and deliver the Predictive Analytics roadmap to deliver data driven stakeholder value for UKLB and our clients. Establish and lead a mature Predictive Analytics function by upskilling individuals, championing innovative approaches to data analysis and interpretation, and driving the adoption of advanced modelling ...

teams to transform data into actionable insights and high-impact AI solutions. Key Responsibilities: Design, develop, and deploy machine learning and AI models (e.g., predictive models, NLP, computer vision, recommender systems). Explore, cleanse, and transform large structured and unstructured datasets Conduct statistical analysis, experiment design, feature engineering ...

teams to transform data into actionable insights and high-impact AI solutions. Key Responsibilities: Design, develop, and deploy machine learning and AI models (e.g., predictive models, NLP, computer vision, recommender systems). Explore, cleanse, and transform large structured and unstructured datasets Conduct statistical analysis, experiment design, feature engineering ...

teams to transform data into actionable insights and high-impact AI solutions. Key Responsibilities: Design, develop, and deploy machine learning and AI models (e.g., predictive models, NLP, computer vision, recommender systems). Explore, cleanse, and transform large structured and unstructured datasets Conduct statistical analysis, experiment design, feature engineering ...

service resilience and customer outcomes. You will work closely with software engineers, SREs, product managers, platform teams and business stakeholders to identify opportunities, build predictive models, evaluate AI solutions and take products from concept through to production. The ideal candidate combines strong technical expertise with commercial awareness … business value. WHAT YOU'LL BE DOING: AI & Machine Learning SolutionsDesign, build and deploy machine learning models to solve operational and business challenges. Develop predictive analytics capabilities focused on incident prevention, service health, operational risk and customer experience. Support the development of Generative AI applications leveraging LLMs, retrieval systems ...

Head of Marketing Analytics & Data, you will lead how data and insight shape marketing strategy and investment decisions. You’ll drive analytics through advanced modelling, experimentation, and customer insight to improve effectiveness and deliver commercial impact. You will build and lead a high-performing team across marketing mix modelling, attribution, incrementality testing, predictive modelling, forecasting, and performance measurement. Working with senior stakeholders and partners, you’ll embed a more data-driven, experimental, and performance-focused culture. This is a senior, high-visibility role requiring resilience in a fast-paced environment. You’ll need to simplify complex ...

What You’ll Be Doing Build & Evolve Our Data Platform Contribute to the architecture and development of our modern data platform, including data warehouse, modelling layer and pipelines. Develop and maintain high-quality data models and pipelines. Help establish best practices across data modelling, testing, governance and documentation. … approach to decision-making across the business. Move quickly from idea to insight, testing hypotheses and delivering clear recommendations. Support analysis including customer segmentation, predictive modelling, cohort analysis and customer lifetime value modelling. Look for new ways to use data to solve real commercial problems. Shape ...

Bonus + Excellent Benefits Reference: J13135 Our client is investing significantly in the future of its Pricing & Analytics capability, expanding its use of advanced modelling, optimisation techniques, and customer value analytics to support smarter commercial decision-making. As a Senior/Principal Pricing Analyst you will play … lead the development of advanced pricing and optimisation solutions designed to improve profitability, customer outcomes, retention, and long‐term value. You will leverage sophisticated modelling techniques to understand customer behaviour, price sensitivity, and demand, translating insight into actionable pricing strategies that deliver measurable commercial impact. Alongside your technical responsibilities ...

Skills Strong hands-on professional experience in Data Science, successfully building and deploying systems from prototype to production in a fast-paced environment. Strong predictive modeling foundation: Extensive experience with traditional ML algorithms, Deep Learning frameworks, and complex time-series forecasting. Experience developing production-grade Python code: High proficiency ...