76 to 98 of 98 Predictive Modelling Jobs in the UK

commercial activity. Maintain seamless links between the CRM, website, and various marketing tools to ensure data flows correctly. Identify and test innovative tools, including predictive modelling, to drive commercial value. Create clear reports and dashboards that help teams evaluate performance and make informed choices. Assist and train colleagues ...

Role overview As a Senior Data Scientist, you will use your advanced analytical skills to: Lead the development of cutting-edge, bespoke machine learning predictive models, including risk pricing and classification and regression models Identify and create data solutions that create value Work collaboratively with the pricing and machine … data assets and lead the development of bespoke machine-learning models to improve the underwriting performance of the Group. Key Responsibilities: Develop and test modelling improvements for pricing models, particularly in motor. These might include improvements in hyper-parameter tuning methods, model performance, model stability and feature explainability ...

clear commercial advantage - improving efficiency, effectiveness, and results across channels. You will not run campaigns. You will shape how decisions are made, using insight, modelling, and experimentation to drive measurable growth for our clients. This is a senior, strategic role for someone who understands both advanced analytics and real … cross-channel measurement framework across PPC, SEO, Content and Outreach • Define and maintain a single source of truth for performance reporting • Lead attribution modelling and performance interpretation (accepting real-world limitations) • Translate complex data into clear, actionable insight for channel leads and clients • Design and deploy AI-driven models ...

join a pricing team building innovative models that shape how pricing decisions are made. You will work with complex and novel datasets, develop predictive models, and help advance a modern modelling framework that delivers real commercial impact. The Company They are a well-established organisation investing in data … science and advanced analytics. The pricing team operates with agility and encourages curiosity, experimentation and rapid learning. With strong leadership backing and a growing modelling roadmap, they are looking to add experienced Senior Data Scientists to support their next phase of development. The Role • Develop, refresh and combine pricing ...

join a pricing team building innovative models that shape how pricing decisions are made. You will work with complex and novel datasets, develop predictive models, and help advance a modern modelling framework that delivers real commercial impact. The Company They are a well-established organisation investing in data … science and advanced analytics. The pricing team operates with agility and encourages curiosity, experimentation and rapid learning. With strong leadership backing and a growing modelling roadmap, they are looking to add experienced Senior Data Scientists to support their next phase of development. The Role * Develop, refresh and combine pricing ...

will design, deploy, and scale AI-driven solutions using modern foundation models and AWS-native machine learning infrastructure. From LLM-powered agents to predictive models embedded in automated workflows, your work will directly influence business operations at scale. You’ll operate at the intersection of modelling, engineering … intelligent automation. 🌐 What You’ll Do 🧠 Model Development & AI Systems Design Design and train predictive models using AWS SageMaker Develop LLM-powered systems via AWS Bedrock (including Claude integration) Build RAG pipelines combining structured and unstructured data Develop evaluation frameworks for accuracy, bias, and robustness Apply best practices ...

survey responses to identify behavioural trends and growth opportunities. Design and interpret customer satisfaction and advocacy surveys, applying sentiment analysis and key driver modelling to surface actionable insights Build dashboards and reporting frameworks linking Recall performance, satisfaction scores, and repeat purchase behaviour to commercial KPIs … teams and technical partners throughout the design and build of a new Customer Data Warehouse Support campaign targeting and personalisation through cohort analysis and predictive modelling. Maintain retention dashboards to track CLTV, recall conversion, repeat purchases, and churn risk. Collaborate with Marketing, Operations, Product, and Practice teams to inform ...

been scaling quickly and are now looking for someone to work closely with the C Suite to model and price loans in a more predictive, evidence‐based way. You’ll be joining a small but sharp team with a BI Analyst and a wider tech group (frontend, backend … underpins lending and pricing decisions. Build and refine the underwriting scorecard, working out the right weightings and using expert judgement backed by data. Develop predictive and analytical models to identify the leading indicators of default and credit performance. Analyse historic customer data and uncover the signals that predict repayment ...

want to work on pricing models that challenge the status quo? Have you ever built predictive models on large, messy customer datasets? Are you ready to experiment with new modelling approaches inside a major UK insurer? A leading digital-first UK insurer is hiring a Senior Data Scientist … join a specialist pricing innovation team. The business serves over two million customers and has invested heavily in data infrastructure and modern modelling capabilities. This team acts as a pricing R&D function, experimenting with new modelling techniques and data sources to challenge and improve traditional pricing approaches. ...

prevent avoidable hospitalizations and transform senior‐care operations. Our Circadia Intelligence Platform combines: Contactless sensing that monitors respiration and motion with medical‐grade accuracy Predictive analytics & agentic AI workflows that detect 85 % of preventable rehospitalizations ~11 days in advance Enterprise integrations that embed insights directly into EHR, care‐coordination … that power our clinical monitoring platform. You will build and maintain the production ML pipelines, deployment infrastructure, and monitoring systems that enable Circadia's predictive models to identify early signs of clinical deterioration. Reporting to the Principal ML Engineer, you will work across ML, backend, data, and clinical teams ...

Senior Data Scientist, you will: Focus on pricing and customer selection for car and van insurance within the Alternative Pricing Product team. Build predictive models that identify new ways to set prices and select customers, beyond traditional pricing approaches. Work with very large, messy datasets across multiple product lines … team. Your Skills And Experience You will bring: Strong commercial experience as a Data Scientist or in a similar analytics role working on predictive modelling. Hands on experience building and deploying machine learning models using Python and SQL, ideally in a cloud environment such as Azure. Practical experience with ...

ingestion frameworks for integrating multiple source systems into the cloud data platform. Design and govern data transformation frameworks using DBT. Define and enforce data modelling standards including dimensional modelling, star schema, and enterprise data models. Lead architecture reviews and solution design discussions for new data initiatives. Optimize Snowflake … data governance frameworks including access control, data security, and compliance standards. Design and support AI/ML-ready data architecture for advanced analytics and predictive modelling. Provide architectural guidance to data engineering, BI, and analytics teams. Design architecture to support data consumption for reporting systems, operational applications, and analytics ...

data science, helping organisations understand what drives real-world healthcare behaviour (e.g. vaccine uptake, medication adherence, clinical trial participation) through large-scale datasets, modelling and insight products. This is a builder culture where curiosity, creativity and strong scientific thinking are genuinely valued. They’re hiring a Senior Behavioural Data … projects focused on drivers of US healthcare behaviour at scale Design and run behavioural measurement approaches (survey + digital signals) Build statistical and predictive models (regression, segmentation, behavioural modelling) Translate findings into benchmarks, insights and recommendations Partner with PM/DE to productise outputs into a robust data ...

lipidomics/proteomics/metabolomics o clinical metadata and response data o SNP and risk features (where relevant) 2) Predict mechanism + response ● Build predictive models for: o molecule–microbe interactions o molecule–host pathway effects o omics signature prediction o clinical response forecasting o safety and developability scoring … discovery with an agreed split strategy (sample, cohort, and time splits) and reporting baseline ranking metrics (e.g., hit-rate@K, NDCG@K) ● Build initial predictive baselines with clear metrics Month 3–6: Modelling & Optimisation ● Implement multi-criteria scoring + optimisation with a defined objective, weighting strategy, and ablation ...

want to build predictive models that explain real-world patient behaviour at population scale? Have you worked with Python and Databricks to develop and optimise production ML systems? Are you ready to join a fast-moving AI team where you can shape a core data product? About the company … ready. This is a hands-on role with real ownership, working closely with engineers, behavioural scientists, and product teams. Key responsibilities Build and optimise predictive ML models using Python and Databricks Lead development of scalable modelling pipelines and data workflows Integrate new data sources (including behavioural and geospatial ...

operations Applied ML Focus: Time-series, geospatial data, optimisation problems Complex Systems: High-volume, real-time operational data Autonomy: End-to-end ownership from modelling to deployment About the Role We are recruiting on behalf of a mobility technology business building intelligent fleet orchestration systems. This role suits … production systems. Youll join a small, high-calibre team solving complex logistics and optimisation challenges with meaningful real-world impact. Key Responsibilities Develop predictive models using time-series and geospatial datasets Design and iterate on demand forecasting models Support fleet positioning and operational planning initiatives Engineer features from large ...

business are a dynamic and fast-paced lender and are seeking a driven and experienced individual to join their team in building out their predictive models using cutting-edge Machine Learning techniques. This role is an opportunity for someone to be part of a successful company which is continuing … models Using innovative machine learning techniques to further enhance the model suite and drive profitability across the business Own the deployment and implementation of predictive models across the product suite Working closely with the Credit and Product teams to enhance performance and profitability across the business by collaborating ...

business are a dynamic and fast-paced lender and are seeking a driven and experienced individual to join their team in building out their predictive models using cutting-edge Machine Learning techniques. This role is an opportunity for someone to be part of a successful company which is continuing … models Using innovative machine learning techniques to further enhance the model suite and drive profitability across the business Own the deployment and implementation of predictive models across the product suite Working closely with the Credit and Product teams to enhance performance and profitability across the business by collaborating ...

things customer insight: shaping strategy, driving adoption of actionable analytics, and leading a team of four analysts. Expect to get stuck into LTV modelling, segmentation, RFM frameworks, campaign optimisation, and partnering closely with Data Science to embed predictive insight across the customer lifecycle. What You’ll Bring Excellent … hands-on analytics capability Experience applying predictive models (no need to build from scratch) Broad research/insight toolkit Strong communication and stakeholder influence - you’ll need presence Ability to translate complex customer behaviour into clear, commercial action Apply via the link ...

part of a small team, working in a relaxed environment and the purpose of the role is to develop and conduct statistical analysis of predictive models for a sports prediction pipeline. The successful candidate will need to have strong experience in Cricket - ideally someone with demonstrable experience in writing … profitable cricket strategies. As Quantitative Cricket/Tennis Analyst you will need: 2+ years experience using advanced statistics and modelling techniques – writing profitable cricket strategies Strong programming skills, with a preference for Python and R Statistics graduate/post-graduate Kaggle profile (or other practical statistical experience Experience working ...

looking for a Head of Data Science to enhance their data capabilities. In this role, you will design and implement advanced predictive models that influence key business decisions, collaborating with cross-functional teams. The ideal candidate will have over 7 years of experience in data science and a strong ...

tech company is seeking a skilled Head of Data Science in London to enhance its advanced modelling capabilities. This pivotal role includes designing and deploying predictive models that support vital business decisions, influencing customer retention and new growth opportunities. Candidates should possess at least 7 years of data ...

leading creator monetization platform in London seeks a Mainstream Creator Advance Analytics Lead to enhance predictive modeling and deal analytics. This high-impact role involves optimizing creator earnings forecasts and ensuring data integration for rapid assessments, crucial for our growth strategy. Ideal candidates will have 3–5 years … predictive analytics, strong SQL skills, and the ability to manage messy datasets. The role offers high autonomy, equity participation, and a hybrid work model. #J-18808-Ljbffr ...