16 of 16 Contract Predictive Modelling Jobs in the UK excluding London

Senior Data Analyst/Insight Analyst - Contract - Predictive Modelling Rate: £370-£400/day (Outside IR35) Location: Remote-first (occasional office visits) Start Date: ASAP | Duration: Initial contract, likely extension The Role We're seeking a Senior Data/Insight Analyst with strong predictive modelling and recommendation engine experience to help build an in-house personalised … customers will love, not just what they've bought before. What You'll Do Build & optimise recommendation/personalisation models . Drive incremental targeting beyond repeat-purchase patterns. Apply predictive analytics to customer behaviour & purchase history. Use Python (essential), SQL , and ideally PySpark to deliver insights. Collaborate with Product, Content, and Data Science to align models with business goals. … Translate data into clear, actionable insights. (Bonus) Explore AI-driven ad content opportunities. What We're Looking For Proven experience with predictive modelling/recommender systems . Strong Python & SQL skills (essential). Exposure to PySpark (desirable). Strong communicator with ability to link data to business outcomes. (Bonus) Experience with Generative AI or content automation. More ❯

a fast-paced, consumer-focused environment. Location: London Duration: 3-6 months Rate: £400 per day (Outside IR35) Start Date: ASAP What You'll Be Doing: Build and deploy predictive models to optimise delivery routes, reduce churn, and enhance customer satisfaction. Work across cloud platforms (Azure, AWS, GCP) to ingest, transform, and analyse large-scale datasets. Collaborate with cross More ❯

service capabilities. Deep understanding of solution design principles and the ability to deliver interlocking benefits across teams and platforms. Strong statistical grounding, including expertise in forecasting, clustering, optimization, and predictive modeling. Proficiency in Python, SQL, and cloud platforms (especially BigQuery). Commercial acumen in leveraging data to shape strategy and unlock business value. Exceptional data storytelling skills, translating complex More ❯

service capabilities. Deep understanding of solution design principles and the ability to deliver interlocking benefits across teams and platforms. Strong statistical grounding, including expertise in forecasting, clustering, optimization, and predictive modeling. Proficiency in Python, SQL, and cloud platforms (especially BigQuery). Commercial acumen in leveraging data to shape strategy and unlock business value. Exceptional data storytelling skills, translating complex More ❯

service capabilities. Deep understanding of solution design principles and the ability to deliver interlocking benefits across teams and platforms. Strong statistical grounding, including expertise in forecasting, clustering, optimization, and predictive modeling. Proficiency in Python, SQL, and cloud platforms (especially BigQuery). Commercial acumen in leveraging data to shape strategy and unlock business value. Exceptional data storytelling skills, translating complex More ❯

Analyse complex datasets to provide actionable insights for the retail business. Collaborate with internal teams to gather reporting requirements and ensure data accuracy. Support the Analytics department in creating predictive models and trend analyses. Identify opportunities for process improvements through data analysis. Maintain data integrity and ensure compliance with company policies and industry standards. Provide training and support to More ❯

Analyse complex datasets to provide actionable insights for the retail business. Collaborate with internal teams to gather reporting requirements and ensure data accuracy. Support the Analytics department in creating predictive models and trend analyses. Identify opportunities for process improvements through data analysis. Maintain data integrity and ensure compliance with company policies and industry standards. Provide training and support to More ❯

supporting coastal projects through data collection, interpretation, and modeling Key responsibilities include using Geographic Information Systems (GIS) and statistical tools for analysis and visualization, collaborating with teams, contributing to predictive models for risk assessment, and preparing reports. Essential qualifications typically include a degree in a relevant field (e.g., Environmental Science, Data Science, Geography), proficiency in data analysis and GIS More ❯

supporting coastal projects through data collection, interpretation, and modeling Key responsibilities include using Geographic Information Systems (GIS) and statistical tools for analysis and visualization, collaborating with teams, contributing to predictive models for risk assessment, and preparing reports. Essential qualifications typically include a degree in a relevant field (e.g., Environmental Science, Data Science, Geography), proficiency in data analysis and GIS More ❯

supporting coastal projects through data collection, interpretation, and modeling Key responsibilities include using Geographic Information Systems (GIS) and statistical tools for analysis and visualization, collaborating with teams, contributing to predictive models for risk assessment, and preparing reports. Essential qualifications typically include a degree in a relevant field (e.g., Environmental Science, Data Science, Geography), proficiency in data analysis and GIS More ❯

integrate data insights into strategic planning and decision-making processes. Utilize GIS software and other data analysis tools to visualize and present findings effectively. Contribute to the development of predictive models and simulations for coastal management and risk assessment. Support the preparation of technical reports and presentations for stakeholders and decision-makers. Person Specifications Bachelor's degree in Environmental More ❯

passion for working with live, streaming, or sensor-based data . You’ll help us build robust datasets from real-time field trials, integrate diverse data sources, and develop predictive models that guide product development and deployment. Key Responsibilities Design and implement pipelines to ingest, clean, and structure live data from field sensors, drones, and environmental monitoring systems. Build More ❯

service that applies AI/ML to process high-volume, low-complexity workflows.You'll work on a modern AWS serverless platform, developing components for document analysis, signature detection, and predictive modelling. Collaboration with cross-functional teams is key to ensuring seamless integration with existing digital services. What You'll Need to Succeed Commercial experience with AI/ML technology More ❯

that applies AI/ML to process high-volume, low-complexity workflows. You'll work on a modern AWS serverless platform, developing components for document analysis, signature detection, and predictive modelling. Collaboration with cross-functional teams is key to ensuring seamless integration with existing digital services. What You'll Need to Succeed Commercial experience with AI/ML technology More ❯

owners, and data scientists to translate customer engagement goals and business requirements into effective and scalable decisioning frameworks. * Defining Policies & Rules: Define and implement engagement policies, arbitration rules, and predictive models to optimize customer interactions across various channels. * Data Integration: Ensure seamless integration with enterprise systems, including CRMs, data warehouses, marketing platforms, and third-party tools to support the … Designer, including configuring arbitration, taxonomy, and strategies. * Model Management: Work hands-on with Pega's Adaptive Decision Manager (ADM) and Prediction Studio to create, monitor, and optimize adaptive and predictive models. * Data Flows & Sets: Develop and configure data flows, data sets, and data transform rules to support the decisioning and reporting requirements. * Troubleshooting & Performance: Actively participate in performance tuning More ❯

owners, and data scientists to translate customer engagement goals and business requirements into effective and scalable decisioning frameworks. * Defining Policies & Rules: Define and implement engagement policies, arbitration rules, and predictive models to optimize customer interactions across various channels. * Data Integration: Ensure seamless integration with enterprise systems, including CRMs, data warehouses, marketing platforms, and third-party tools to support the … Designer, including configuring arbitration, taxonomy, and strategies. * Model Management: Work hands-on with Pega's Adaptive Decision Manager (ADM) and Prediction Studio to create, monitor, and optimize adaptive and predictive models. * Data Flows & Sets: Develop and configure data flows, data sets, and data transform rules to support the decisioning and reporting requirements. * Troubleshooting & Performance: Actively participate in performance tuning More ❯