1 to 25 of 39 Propensity Modelling Jobs in England

company’s future. As a Lead Data Scientist, you will: Design and build advanced machine learning models focused on: User behaviour prediction Churn and propensity modelling Develop a scalable “model factory” capable of generating bespoke models per client Work with complex behavioural event data from mobile applications Collaborate … experience in machine learning/data science (typically 4–8+ years) Proven experience building and deploying ML models in production Solid understanding of: Churn modelling Propensity modelling Behavioural data analysis Strong Python skills (e.g. Pandas, NumPy, ML libraries) Experience working with real-world, messy datasets Ability ...

data science projects, developing and deploying machine learning models that drive better customer and commercial outcomes. You'll work across: Customer segmentation, propensity modelling and churn prediction. Revenue and demand forecasting. Python-based modelling, feature engineering and model validation. Production deployment, cloud infrastructure and MLOps. Translating complex … first-party customer data, ideally within an agency, retail or insurance environment. Strong Python, SQL and Jupyter skills. Hands-on experience with customer segmentation, propensity modelling and forecasting. Proven ability to deliver end-to-end machine learning projects, from analysis through to deployment. Commercially minded, with strong communication ...

youll be doing Conducting in-depth analysis to understand audience behaviour, campaign, channel and content performance, and engagement trends Applying advanced analytical techniques, including propensity modelling, predictive analytics and segmentation, to support decision-making Creating, maintaining and improving Power BI dashboards and reports that turn complex data into … Google Analytics Experience of managing large datasets, carrying out statistical analysis and developing clear, data-driven insights Experience applying advanced techniques such as propensity modelling, predictive analytics and segmentation Experience analysing digital channels and using approaches such as A/B testing, conversion rate optimisation and user behaviour ...

development from day one. The Project Working within the insurance sector, you'll build scalable customer analytics solutions focused on: Customer segmentation and clustering Propensity modelling Forecasting models Insurance customer behaviour analysis Large-scale model development and delivery A key deliverable will be the creation of a primary … customer segmentation framework, including multiple sub-segmentations, alongside propensity models that support commercial decision-making. The project specifically focuses on motor and home insurance quote behaviour , so experience understanding insurance products, quote journeys and customer purchasing behaviour is essential. What You'll Be Doing Developing customer segmentation and clustering ...

work on customer analytics, performance reporting, and dashboard automation within a fast-paced environment. Key Responsibilities Conduct backbook segmentation and customer analytics. Support propensity modelling and predictive analytics activities. Deliver performance reporting and business insights. Develop, automate, and maintain dashboards and MI reporting. Analyse large datasets to identify … Strong analytical and problem-solving capabilities. Excellent communication and stakeholder management skills. Desirable Exposure to Python, R, SAS, or other analytics tools. Experience with propensity modelling or predictive analytics. Understanding of customer behaviour, transaction data, and payments products. What's on Offer 12-month contract with a leading ...

range of Analytics services that deliver tangible impact. This role sits within the broader WPP Media Analytics structure, drawing on the specialist expertise of Modelling, Analytics Consultancy, and Data Science & Solutions teams. Role Overview The Analytics Associate Director, Data Science, will be a key technical leader within the dedicated … responsible for leading the delivery of advanced data science projects, translating complex analytical requirements into robust, implementable solutions, and contributing hands-on to specialised modelling efforts. Working within the wider Analytics team, the Associate Director will apply sophisticated data science techniques to address client communication challenges, enhance media effectiveness ...

bring:• Experience with Snowflake or similar cloud data warehouse platforms• Python development skills, particularly for data-driven applications• Exposure to customer segmentation, propensity modelling, or predictive analytics• Familiarity with SaaS, subscription, or recurring revenue business models• Experience with Power BI or other data visualisation tools• Understanding of data ...

bring: • Experience with Snowflake or similar cloud data warehouse platforms • Python development skills, particularly for data-driven applications • Exposure to customer segmentation, propensity modelling, or predictive analytics • Familiarity with SaaS, subscription, or recurring revenue business models • Experience with Power BI or other data visualisation tools • Understanding of data ...

signal you send them. You don't need to have run campaigns, but you should find how they behave genuinely interesting. Advanced modelling. Propensity models to value earlier funnel events and refine targeting, and uplift models to identify incremental value. Causal inference and experiment design. Separating what a channel ...

Role: Data Science Associate Manager (Customer) Team: Song AI & Data – AI & Modelling Craft, UK&I Location: London/Manchester Career Level: Associate Manager (L8) We Are Accenture Song accelerates growth and value for our clients through sustained customer relevance. Our capabilities span ideation to execution: growth, product and experience … analytics, performance optimisation, and AI (including generative AI and agentic AI) transformation. You will join the Song AI & Data UK practice, within the AI & Modelling Craft: a community of data scientists, AI engineers, modellers and solution architects focused on applying AI, machine learning and advanced analytics to solve customer ...

continuing to invest in their Data Science capability and product innovation. The Role Build and deploy machine learning models across forecasting, customer segmentation, and propensity modelling Own projects across the full model lifecycle, from data exploration and feature engineering through to deployment and monitoring Partner with Product, Engineering … Strong commercial experience in Data Science and Machine Learning Advanced Python and SQL skills with experience building production-ready models Expertise across forecasting, predictive modelling, customer segmentation, and classification techniques Experience working with AI-assisted development tools such as GitHub Copilot, Claude, Codex, or similar to improve productivity ...

role if you bring: Professional experience in data analysis, business intelligence, analytics engineering or a closely related role. Strong experience of data preparation, cleansing, modelling and quality assurance. Experience using SQL and visualisation tools such as Power BI, Microsoft Fabric or equivalent platforms. Experience working with CRM, customer, commercial … Microsoft technologies. Familiarity with OpenClaw, Hermes or similar agent platforms. Track record of measuring AI, automation or digital‐product performance. Knowledge of predictive analytics, propensity modelling, segmentation or recommendation systems. Understanding of marketing attribution, customer journey analytics or revenue analysis. Ability to design trusted data products or reusable ...

Role & Details Data Science Associate Manager (Customer) Team: Song AI & Data – AI & Modelling Craft, UK&I Location: London/Manchester Career Level: Associate Manager (L8) We Are Accenture Song accelerates growth and value for our clients through sustained customer relevance. Our capabilities span ideation to execution: growth, product … analytics, performance optimisation, and AI (including generative AI and agentic AI) transformation. You will join the Song AI & Data UK practice, within the AI & Modelling Craft: a community of data scientists, AI engineers, modellers and solution architects focused on applying AI, machine learning and advanced analytics to solve customer ...

business spending, together. Please note: About the role Growth Intelligence owns the commercial data layer that powers Pleo's GTM engine — acquisition, retention, propensity modelling, and customer health. The team supports RevOps, Customer Experience, Customer Success, and senior commercial leadership with the data and models they need ...

solved at both a tactical and strategic level. Experience delivering marketing analytics e.g., Marketing Mix Modeling , geo experiments, meta-analysis, audience segmentation and propensity modeling . Understanding of Bayesian approaches and modeling frameworks. Proven ability to generate practical solutions for marketing analytics problems and use results to drive business ...

CDPs (Salesforce Data Cloud, Adobe Experience Platform, Treasure Data, mParticle), MDM, CRM, and data warehousing Familiar with analytical approaches used in customer strategy: segmentation, propensity modelling, next-best-action, attribution, and customer journey analytics ability to interpret and apply, not necessarily build Knowledge of cloud data platforms (Azure ...

CDPs (Salesforce Data Cloud, Adobe Experience Platform, Treasure Data, mParticle), MDM, CRM, and data warehousing Familiar with analytical approaches used in customer strategy: segmentation, propensity modelling, next-best-action, attribution, and customer journey analytics — ability to interpret and apply, not necessarily build Knowledge of cloud data platforms (Azure ...

CDPs (Salesforce Data Cloud, Adobe Experience Platform, Treasure Data, mParticle), MDM, CRM, and data warehousing Familiar with analytical approaches used in customer strategy: segmentation, propensity modelling, next-best-action, attribution, and customer journey analytics ability to interpret and apply, not necessarily build Knowledge of cloud data platforms (Azure ...

positively impact customer retention and ecosystem growth by way of attach and lead pass opportunities Further embed our use of AI, data, and propensity models to develop proactive intervention capabilities that prevent customer churn Partner with enabling and delivery functions within Customer Success to implement retentions programs: CX Design ...

broken, you fix it. What You Will Do Decisioning & Data Science Design and implement NBA/NBO decisioning frameworks — eligibility rules, suppression logic, propensity score integration, offer prioritisation, and arbitration Operationalise propensity models, uplift models, CLV scores, and churn predictions into live decisioning frameworks Use value-based decisioning … decisioning solution — Pega CDH, Salesforce Marketing Cloud, Adobe Target/AEM/Campaign, Braze, Iterable, or purpose-built solutions Strong working knowledge of predictive modelling for decisioning: propensity, churn, CLV, uplift, and incrementality Experience designing statistically valid champion/challenger and multivariant tests and holdout methodologies Ability ...

measurement framework, quantify cross‐channel effectiveness, and isolate lift with causal inference methods. You’ll build production‐grade ML pipelines, apply segmentation and propensity models, and translate insights into concrete campaign recommendations. Collaboration with marketing, product, and engineering teams is essential. #J-18808-Ljbffr ...

actionable business insights, this is an opportunity to make a tangible impact within a growing technology-led organisation. You'll combine analytical discovery, predictive modelling, and stakeholder collaboration to shape product strategy, improve customer outcomes, and influence key business decisions. THE COMPANY They are a growing organisation undergoing … usage patterns, conversion drop-offs, and areas for optimisation. Build predictive models focused on areas such as customer churn, engagement scoring, demand forecasting, and propensity modelling. Develop customer segmentation and behavioural cohorts to support targeted business initiatives. Translate complex business questions into structured analytical frameworks, hypotheses, and actionable recommendations. ...

models in an organization from exploratory notebooks to reliable, automated production pipelines. Advanced Business ML (Experience in 1-2 of the following): Customer Behavior & Propensity Modeling: Building predictive models for churn, propensity-to-buy, lead scoring, or lifetime value (LTV) to directly drive targeted marketing and product interventions. ...

professional. Strong analytical and problem-solving skills, including the ability to create clarity from ambiguous business questions. Advanced Python skills for data analysis and modelling, together with strong SQL capability. Practical experience applying statistical and data-science techniques to business problems, including several of forecasting, regression, classification, segmentation … propensity modelling. Sound understanding of statistical concepts, model evaluation, uncertainty, bias and the limitations of analytical approaches. Experience working with large or complex datasets and performing data discovery, validation and exploratory analysis. Excellent requirements-gathering, stakeholder-management and project-planning skills. Excellent written communication, with experience producing analytical papers ...

professional. Strong analytical and problem-solving skills, including the ability to create clarity from ambiguous business questions. Advanced Python skills for data analysis and modelling, together with strong SQL capability. Practical experience applying statistical and data-science techniques to business problems, including several of forecasting, regression, classification, segmentation … propensity modelling. Sound understanding of statistical concepts, model evaluation, uncertainty, bias and the limitations of analytical approaches. Experience working with large or complex datasets and performing data discovery, validation and exploratory analysis. Excellent requirements-gathering, stakeholder-management and project-planning skills. Excellent written communication, with experience producing analytical papers ...