1 to 25 of 49 Propensity Modelling Jobs in the UK

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 ...

transformation towards a subscription-led model, with Data Science becoming a critical part of future growth. What you'll be working on Subscription propensity modelling Churn prediction and retention analytics Customer segmentation and personalisation Dynamic pricing and offer optimisation Uplift modelling and causal inference Experimentation frameworks … theory Experience working with large-scale customer datasets Background in subscription, consumer, media, gaming, e-commerce, fintech or similar environments Experience with recommendation systems, propensity modelling, retention, personalisation or monetisation challenges would be particularly valuable. Founding hire into a growing Data Science capability Huge influence over future direction ...

data to understand audiences, inform fundraising decisions and generate genuinely actionable insight. You'll help develop areas such as audience profiling and segmentation, propensity modelling and lifetime value analysis, while ensuring existing reporting and data selections continue to be delivered effectively. The role would suit an experienced Insight … analysts, providing direction and helping develop the organisation's insight capability Move the function beyond reporting into more advanced analysis, including segmentation, audience profiling, propensity modelling and lifetime value Use tools such as SQL and Power BI to turn complex data into meaningful, actionable insight Work closely with ...

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 ...

doing Lead the design, development, and delivery of analytical data products that support insight‐led business decisions. Examples may include customer value models, propensity models, performance measurement frameworks, forecasting solutions and self‐service insight products. Partner with Consumer Insights colleagues to combine behavioural, transactional and attitudinal research data into … Experience as a critical thought partner in defining analytical solutions, challenging assumptions constructively. Experience applying customer analytics techniques such as customer lifetime value modelling, segmentation, cohort analysis, propensity modelling or retention analysis. Proven experience in stakeholder‐facing analytics roles, with a track record of influencing decisions through ...

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 ...

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 ...

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 ...

quantitative field Preferred: experience taking initial machine learning models from exploratory notebooks to automated production pipelines Preferred: experience in customer behavior and propensity modeling, forecasting, optimization, or causal inference Core Competencies Demonstrates expertise in Data Science and Machine Learning Engineering, with a strong focus on developing production-ready models ...

submit a high quality, personalised application. About the roleGrowth 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 ...

forward, and help businesses unlock sustainable growth. Role Overview We're looking for a Senior Data Scientist who can combine the rigour of statistical modelling with the creativity of real-world storytelling. You'll design and deliver AI/ML models that are not just accurate — but deployable, explainable … variety of projects and products. Key Responsibilities Design and build machine learning models for: Forecasting (e.g. demand, revenue) using tools such as Prophet Propensity modelling for churn, conversion, and cross-sell Customer segmentation using k-means or advanced clustering techniques Own end-to-end data workflows: feature creation ...

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 ...

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 ...

Customer Analytics & Insights Analyse customer behaviour, engagement and purchase patterns to identify actionable insights Work with wider analytics team on deeper analysis (e.g. segmentation, propensity modelling inputs) Work with business teams to define audiences based on data-driven logic (e.g. lifecycle, value, propensity signals) that drive revenue ...

payback rather than pieces mailed. Strong analytical judgement. You design test cells and holdouts, read results critically, and understand response and propensity modelling well enough to brief analysts, challenge their work and turn it into mailing decisions. Experience managing suppliers: tendering, negotiating, setting SLAs and keeping several partners … targetingSource and buy prospect data from bureaus and brokers, and combine it with our first-party data. Direct the analysts building the response and propensity models that decide who we mail, with what offer and when. Work with risk analysts to shape offers around eligibility and lifetime value. Campaigns ...

payback rather than pieces mailed. Strong analytical judgement. You design test cells and holdouts, read results critically, and understand response and propensity modelling well enough to brief analysts, challenge their work and turn it into mailing decisions. Experience managing suppliers: tendering, negotiating, setting SLAs and keeping several partners … Source and buy prospect data from bureaus and brokers, and combine it with our first-party data. Direct the analysts building the response and propensity models that decide who we mail, with what offer and when. Work with risk analysts to shape offers around eligibility and lifetime value. Campaigns ...

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 ...

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 ...

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 ...

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