23 of 23 Propensity Modelling Jobs in the UK

doing Designing and delivering accurate, timely data selections for marketing, communications, engagement and fundraising across different channels Using advanced analytical techniques, including segmentation, propensity modelling and predictive analytics, to optimise audiences and activity Creating, maintaining and improving reports and dashboards that present complex information clearly and provide actionable … Technical expertise in data analysis, manipulation and visualisation using SQL, FastStats and Power BI Experience applying advanced analytics to large, complex datasets, including segmentation, propensity modelling and predictive analytics Strong attention to detail and a clear commitment to data accuracy and quality Effective communication skills, with the ability ...

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 ...

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 ...

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 ...

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 ...

following: Building and deploying predictive machine learning models Developing customer segmentation and customer lifetime value models Creating forecasting solutions to support business planning Delivering propensity and churn models to improve customer engagement Translating complex analytical findings into clear business recommendations Collaborating with engineering teams to support model deployment … will have the following skills and experience: Strong commercial experience in Data Science and machine learning Advanced Python and SQL skills Experience using statistical modelling and predictive analytics techniques Knowledge of machine learning algorithms such as XGBoost and related ensemble methods Experience delivering projects across the full Data Science ...

Role: Data Science Associate Manager (Customer)Team: Song AI & Data – AI & Modelling Craft, UK&ILocation: London/ManchesterCareer Level: Associate Manager (L8)We AreAccenture Song accelerates growth and value for our clients through sustained customer relevance. Our capabilities span ideation to execution: growth, product and experience design; technology … 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 ...

Looking to broaden your data science experience across multiple industries? This is an opportunity to join a specialist analytics consultancy delivering end-to-end modelling projects for well-known organisations across sectors. You'll combine hands-on data science with stakeholder engagement, working on projects that have real commercial … impact. The Company They are a growing data and analytics consultancy with a strong focus on predictive modelling and customer analytics. With a collaborative team of experienced data professionals, they deliver advanced solutions using modern cloud and data platforms. Their project-based environment offers excellent exposure to a wide ...

compromising quality Audience, membership and commercial analytics: Build audience segmentations and support lifecycle analysis Maintain customer indicators and derived variables; assist with customer value modelling Evaluate customer engagement performance and analyse customer journeys Support campaign optimisation and measure membership and lifecycle performance Support analysis of commercial initiatives and sponsorship … Claude Code, Gemini) to improve analytical productivity Experience with marketing automation platforms such as ActiveCampaign, Braze, Bloomreach or Salesforce Marketing Cloud Experience supporting segmentation, propensity modelling or customer lifecycle analysis Experience in sports, events, membership, subscription, media, travel or consumer-facing organisations Knowledge of attribution, experimentation ...

learning solutions in production. Experience with learning-to-rank methodologies is highly desirable. Exposure to tools and techniques such as Metaflow, XGBoost, PyMC, Streamlit, propensity modelling, or optimisation methods would be beneficial. Experience within digital marketplaces, travel platforms, e-commerce, classifieds, or consumer-facing search environments is advantageous. ...

conversion strategies, specifically designed for small businesses, sole traders, and professional service providers. Collaborate with Data Science and Analytics teams to integrate AI and propensity modeling, deploying proactive, data-driven interventions that pinpoint churn risks early and automate high-value customer outreach. Partner with CX Design to develop comprehensive ...

conversion strategies, specifically designed for small businesses, sole traders, and professional service providers. Collaborate with Data Science and Analytics teams to integrate AI and propensity modeling, deploying proactive, data-driven interventions that pinpoint churn risks early and automate high-value customer outreach. Partner with CX Design to develop comprehensive ...

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 churnPartner with enabling and delivery functions within Customer Success to implement retentions programs: CX Design ...

recommendation changes against commercial KPIs Strong hands-on Data Science background Nice to have: Learning-to-rank/re-ranking Metaflow XGBoost/LightGBM Propensity modelling Optimisation PyMC Streamlit Cold-start recommendation Travel, ecommerce, marketplace or booking-platform experience Contract: 3-4 months Rate: £480/day IR35 ...

advocacy across the customer base. Continuously optimise existing programmes to improve retention and ecosystem growth (attach, lead-pass, upsell). Embed AI, data and propensity models to develop proactive churn-prevention interventions. Partner with CX Design, CX Operations, Digital Experiences and Analytics to implement retention programmes. Work closely with ...

with headcount expansion planned over the next year. The team manages the full data lifecycle — from ingestion and governance through to reporting and predictive modelling, supporting departments across the organisation, including finance, digital, marketing, and operations. It’s a collaborative environment that values innovation, technical credibility, and strong stakeholder … Power BI and Omni, ensuring a consistent view of business performance. Drive predictive analytics and machine learning initiatives, including customer lifetime value and propensity modelling. Collaborate cross-functionally with commercial, finance, and digital teams to ensure insights translate into measurable business outcomes. Build, mentor, and grow the internal data ...

with headcount expansion planned over the next year. The team manages the full data lifecycle — from ingestion and governance through to reporting and predictive modelling, supporting departments across the organisation, including finance, digital, marketing, and operations. It’s a collaborative environment that values innovation, technical credibility, and strong stakeholder … Power BI and Omni, ensuring a consistent view of business performance. Drive predictive analytics and machine learning initiatives, including customer lifetime value and propensity modelling. Collaborate cross-functionally with commercial, finance, and digital teams to ensure insights translate into measurable business outcomes. Build, mentor, and grow the internal data ...

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 ...

equivalent analytical 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 and propensity … without waiting for perfectly defined requirements.DesirableExperience with time-series techniques such as ARIMA, exponential smoothing or related forecasting methods.Experience developing customer churn, lifetime value, propensity, anomaly-detection or segmentation models.Experience analysing financial, operational, customer or risk data.Experience using machine-learning techniques beyond traditional statistical analysis.Experience with Snowflake or another ...

range of credit models in the business and take on a challenging role which will give you excellent exposure and experience in the credit modelling space. Day to Day the Lead Data Scientist will: Manage and Run the Data Science Team Build a new Data Warehouse Build the Data … Environment Build out a new set of credit model Work across the current range of credit models within the business, including scorecards, propensity models, and IFRS9 models Develop challenger models to improve and enhance the modelling suite Monitor and report on these models, taking oversight across the modelling ...

range of credit models in the business and take on a challenging role which will give you excellent exposure and experience in the credit modelling space. Day to Day the Lead Data Scientist will: Manage and Run the Data Science Team Build a new Data Warehouse Build … credit model Work across the current range of credit models within the business, including scorecards, propensity models, and IFRS9 models Develop challenger models to improve and enhance the modelling suite Monitor and report on these models, taking oversight across the modelling processLead Data Scientists should have ...

range of credit models in the business and take on a challenging role which will give you excellent exposure and experience in the credit modelling space. Day to Day the Lead Data Scientist will: • Build a new Data Warehouse • Build out a new set of credit model • Work across … current range of credit models within the business, including scorecards, propensity models, and IFRS9 models • Develop challenger models to improve and enhance the modelling suite • Monitor and report on these models, taking oversight across the modelling processLead Data Scientists should have: • 5 years of Data Science experience ...

thrive in a high-ambiguity, high-velocity environment and shape direction without waiting for permission- Data-driven approach to prioritization using pipeline data, propensity signals, and market intelligence to focus effort where it matters most- Experience in enterprise technology sales, solutions architecture, or technical business development with a focus … customer roundtables, GenAI workload assessments, use-case workshops, developer engagement, and regional campaigns that create demand and accelerate adoption.- Thought Leadership : Create packaged deliverables (propensity models, use-case frameworks) and drive enablement that raises the bar across the EMEA field.- Be the voice of EMEA customers to Product: synthesise ...