26 to 37 of 37 Predictive Modelling Jobs in the UK excluding London

just deliver it. You'll lead and elevate a team of specialists, building a high-performance insights function. You'll fuse advanced analytics, predictive modelling, and AI-driven innovation to transform how procurement thinks, acts, and delivers. You'll embed knowledge management practices that ensure insights are captured ...

will take ownership of how data is collected and analysed in-service. The results of this continued analysis will drive refinement into product support modelling, support reliability assessments and deliver critical insights to our domestic and global customers. You will be the bridge between real-life field data … continuous improvement of data collection and related processes across our in-service products, focusing on usage, failures, end user damage and maintenance trends. Predictive Modelling: Ensure real-life data is integrated into product models through a rigorous annual update process also linking into the Integrated Logistic Support ...

that help retailers and building owners optimise energy usage, automate operations, and reduce environmental impact. Their platform integrates IoT, telemetry, and AI to deliver predictive insights across multiple sites globally. Working here means applying data science to real-world challenges, improving system efficiency and reliability for high-profile clients. … deploy advanced analytics frameworks and machine learning models. Translate R&D and exploratory analysis into production-ready algorithms and reusable components. Design experiments and predictive models to optimise energy consumption and building performance. Communicate insights clearly to technical and non-technical stakeholders. Collaborate with internal and client-facing teams ...

them to help make informed decisions, deliver a personalised service and automate their workloads. So, in this role you might be building data pipelines, modelling data, developing predictive models or automations for repeatable tasks or creation of data products. You might be working with stakeholders to understand their ...

with social listening tools and voice of customer data Design and analyze A/B tests to optimize campaigns Partner with Data Science on predictive models (churn, propensity, scoring) Present insights to CMO, CRM Director, and Finance teams Manage team of 4 analysts - set direction, develop talent, show what … prescription refills) WHAT YOU NEED Essential: Strong SQL (querying large datasets, complex joins, optimization) Customer segmentation, LTV modeling, or RFM analysis experience Understanding of predictive models (churn, propensity, scoring) Power BI or Tableau for dashboards Team leadership or mentorship experience Confident C-suite communicator with energy and presence Highly ...

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 ...

closely with internal teams and external clients. You will: * Support data planning, performance reporting and insight generation across campaigns. * Build and refine forecasting and predictive models to guide planning and targeting. * Manage CRM and customer data, ensuring accurate selection, segmentation and data quality. * Respond to incoming data questions … translate insight for non-technical teams and tell compelling data stories. * Strong organisational skills and experience handling varied incoming data requests. * Experience with predictive analytics or Python is beneficial but not required. * Familiarity with UK education or youth-focused environments is advantageous. What They Offer * Salary ...

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 ...

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 ...

product and commercial strategy. They are hiring a hands on Data Science Manager who can lead their Data team while remaining technically involved in modelling, production machine learning and shaping the overall AWS based data platform. This is not a pure management role. They are looking for a strong … Data Scientist first, someone comfortable across the full lifecycle from ingestion and feature engineering through to modelling and deployment. Their data estate has evolved over time and is currently spread across multiple siloed systems with differing structures and standards. The platform is built on AWS, but architectural consistency ...

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 ...