1 to 25 of 30 Propensity Modelling Jobs in London

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 ...

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 ...

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. ...

shape data-driven digital experiences across our direct-to-consumer products. You'll own the Product Analytics strategy, roadmap and delivery, using predictive modelling, experimentation, behavioural insights and AI-driven decisioning to optimise customer journeys, accelerate product innovation, personalisation, and maximise customer engagement, personalisation, retention and lifetime value. … with Product leadership to influence product strategy, prioritisation and roadmap decisions. Strong experience developing predictive models and analytical solutions such as Next Best Action, propensity models, recommendation engines or intelligent decisioning frameworks. Expertise in behavioural analytics, customer journey analysis, experimentation and A/B testing methodologies. Advanced SQL skills ...

shape data-driven digital experiences across our direct-to-consumer products. You'll own the Product Analytics strategy, roadmap and delivery, using predictive modelling, experimentation, behavioural insights and AI-driven decisioning to optimise customer journeys, accelerate product innovation, personalisation, and maximise customer engagement, personalisation, retention and lifetime value. … with Product leadership to influence product strategy, prioritisation and roadmap decisions. Strong experience developing predictive models and analytical solutions such as Next Best Action, propensity models, recommendation engines or intelligent decisioning frameworks. Expertise in behavioural analytics, customer journey analysis, experimentation and A/B testing methodologies. Advanced SQL skills ...

Head of Performance Analytics - Modelling Full-time Employee Status: Regular Role Type: Hybrid Department: Analytics Schedule: Full Time Experian is a global data and technology company, powering opportunities for people and businesses around the world. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness … decision-making. Strong expertise in developing and applying analytical frameworks and predictive models, including Customer Lifetime Value (LTV), retention, upsell, churn, customer profitability and propensity modelling. Advanced SQL skills and experience working with large, complex customer and commercial datasets. Strong track record of translating complex analysis into actionable insights ...

hands-on, high-impact role for someone who enjoys working close to the business, owns problems end-to-end, and can balance rigorous modelling with pragmatic delivery. **What you will do*** **Churn modelling** — Build, deploy, and iterate on customer churn prediction models. Identify leading indicators, segment at-risk … cohorts, and work with Customer Success on retention playbooks.* **Cross-sell & upsell** — Develop propensity models and next-best-action recommendations to help commercial teams prioritise accounts and product conversations.* **Revenue attribution & tracking** — Design attribution frameworks across marketing channels, sales motions, and product touchpoints. Build the data products that ...

econometrics models, how incrementality testing - from geo-based experiments to causal inference methods - isolates true causal lift, and how behavioral signals derived from clustering, propensity modeling, or sequence analysis can shape smarter audience strategies and campaign design. What sets you apart is the ability to architect the right measurement … effectiveness and inform budget allocation decisions Build and execute incrementality tests and translate results into concrete campaign recommendations Apply ML techniques such as segmentation, propensity modeling, and behavioral pattern recognition to identify customer response patterns and inform audience strategy and experiment design Partner with cross-functional teams to scope ...