19 of 19 Propensity Modelling Jobs in England

problem to delivering data-driven solutions and insights, you'll collaborate closely with clients and internal stakeholders to drive measurable impact. Projects span a range of advanced analytics including propensity modelling, clustering, regression, and forecasting . Key Responsibilities Translate business problems into data science solutions and deliver clear, actionable insights. Collaborate directly with clients, answering key questions and … influencing strategy. Work across a variety of modelling techniques including clustering, regression, and propensity modelling. Develop compelling data visualisations and dashboards to communicate findings. Provide mentorship or line management to more junior team members. Your Skills & Experience Strong coding ability in SQL and Python . Solid experience in data visualisation (e.g. Power BI, Tableau, or similar). Proven … background in applying techniques like propensity modelling, clustering, regression, and forecasting . Commercially minded with excellent stakeholder management skills. Experience leading or mentoring others is a plus. Benefits Salary up to £75,000 Hybrid working model (London office) Work with industry-leading clients in a data-driven, forward-thinking environment More ❯

problem to delivering data-driven solutions and insights, you'll collaborate closely with clients and internal stakeholders to drive measurable impact. Projects span a range of advanced analytics including propensity modelling, clustering, regression, and forecasting . Key Responsibilities Translate business problems into data science solutions and deliver clear, actionable insights. Collaborate directly with clients, answering key questions and … influencing strategy. Work across a variety of modelling techniques including clustering, regression, and propensity modelling. Develop compelling data visualisations and dashboards to communicate findings. Provide mentorship or line management to more junior team members. Your Skills & Experience Strong coding ability in SQL and Python . Solid experience in data visualisation (e.g. Power BI, Tableau, or similar). Proven … background in applying techniques like propensity modelling, clustering, regression, and forecasting . Commercially minded with excellent stakeholder management skills. Experience leading or mentoring others is a plus. Benefits Salary up to £75,000 Hybrid working model (London office) Work with industry-leading clients in a data-driven, forward-thinking environment More ❯

analytics projects. 🔍 About the Role You'll act as the day-to-day technical lead across several client accounts, supporting both media and data science teams. From marketing mix modelling and attribution to lifetime value analysis and propensity modelling , your insights will help drive campaign and business decisions. The agency is investing heavily in its data capabilities … years' experience in data science, marketing science, or analytics (media or agency experience preferred) Skilled in Python (essential), with experience in at least two of the following : MMM, Attribution, Propensity Modelling SQL and R are nice to have Strong strategic thinking and a commercial mindset A proactive, problem-solving approach with strong communication skills 🚀 Why Apply? Hybrid working More ❯

analytics projects. About the Role You'll act as the day-to-day technical lead across several client accounts, supporting both media and data science teams. From marketing mix modelling and attribution to lifetime value analysis and propensity modelling , your insights will help drive campaign and business decisions. The agency is investing heavily in its data capabilities … years' experience in data science, marketing science, or analytics (media or agency experience preferred) Skilled in Python (essential), with experience in at least two of the following : MMM, Attribution, Propensity Modelling SQL and R are nice to have Strong strategic thinking and a commercial mindset A proactive, problem-solving approach with strong communication skills Why Apply? Hybrid working More ❯

problems, creating data science solutions and delivering insights and recommendations Working directly with clients and helping the team to give recommendations and answer questions Working on projects across clustering, propensity modelling, regression and more Building data visualisations and dashboards for clients YOUR SKILLS AND EXPERIENCE Strong technical experience in SQL and Python Experience in data visualisation Proven track … record working across propensity modelling, clustering, forecasting, regression and more Strong commercial and stakeholder management expertise Line Management/Mentoring experience THE BENEFITS Up to £75,000 Hybrid London HOW TO APPLY If interested in the role please send your CV to Louis Collins via the Apply Link below More ❯

problems, creating data science solutions and delivering insights and recommendations Working directly with clients and helping the team to give recommendations and answer questions Working on projects across clustering, propensity modelling, regression and more Building data visualisations and dashboards for clients YOUR SKILLS AND EXPERIENCE Strong technical experience in SQL and Python Experience in data visualisation Proven track … record working across propensity modelling, clustering, forecasting, regression and more Strong commercial and stakeholder management expertise Line Management/Mentoring experience THE BENEFITS Up to £75,000 Hybrid London HOW TO APPLY If interested in the role please send your CV to Louis Collins via the Apply Link below More ❯

driven organisation, currently going through a growth phase and are expanding its marketing science team. THE ROLE This client is looking for a data-driven professional with expertise in Modelling, Data Science, and Data Visualisation to join our team. The role involves developing advanced models including LTV, propensity, attribution, and MMM to support business growth and media strategies. … dashboards, define effective reporting strategies for stakeholders, and ensure analytics tools like GA4 and Adobe Analytics are configured to capture meaningful data. SKILLS + EXPERIENCE Strong Python experience for modelling is a must Experience in 2 out of the 3: propensity modelling, attribution modelling and MMM (Market mix modelling) Ideally you will come from an More ❯

Development Team Lead Software Development Team Lead required by a leading global Cloud Technology company based in Bracknell. The company are working on cutting-edge technology including AI and propensity modelling. The Software Development Team Lead will be responsible for the software engineering output of the team. This will be a leadership role however the successful Software Development Team More ❯

Lead Software Developer required by a leading global Cloud Technology company based in Bracknell. The company are working on cutting-edge technology including AI and propensity modelling. The Lead Software Developer will be responsible for the software engineering output of the team. This will be a leadership role however success candidate will be expected to be hands-on, writing More ❯

Senior Software Developer - C# Senior Software Developer required by a leading Cloud Technology company based in Bracknell. The company are working on cutting-edge technology including AI and propensity modelling. This is a brand-new position due to growth and will join a well-established, high calibre development team. The company operate on a hybrid model which involves More ❯

from a strategic and hands-on perspective Building out their data and analytics capability and practice based on where clients are going Leading projects across customer data science, MMM, propensity modelling, attribution modelling, and digital analytics Researching into where AI agents can be used on a variety of different projects Utilising a variety of different tools such More ❯

from a strategic and hands-on perspective Building out their data and analytics capability and practice based on where clients are going Leading projects across customer data science, MMM, propensity modelling, attribution modelling, and digital analytics Researching into where AI agents can be used on a variety of different projects Utilising a variety of different tools such More ❯

insight, strategic thinking, and a love of data to the forefront of their decision-making. The Opportunity You'll be stepping into a key leadership role, tackling everything from propensity modelling to designing robust data architecture frameworks. Working hand-in-hand with engineers and product teams, you'll transform complex data into actionable marketing strategies that drive real … business impact. From marketing mix modelling (MMM) and attribution analysis to statistical testing, you'll harness customer behaviour and insights to shape the future of data-driven marketing in a fast-moving, customer-focused environment. What's in it for you? Competitive salary package Hybrid working flexibility with a modern office in Hammersmith Career progression opportunities within a growing More ❯

and grows. You'll have real influence over strategy, delivery models and how the business scales. Projects will span: Digital marketing analytics incl. MMM, attribution, incrementality testing LTV, Clustering, Propensity modelling Customer enrichment, clustering and personalisation Dashboards, reporting and ongoing insight generation Building new ways of working, project scoping and delivery Leading client relationships and contributing to outbound More ❯

of machine learning and predictive modelling. This is a senior, hands-on leadership role focused on delivering production-grade models in areas such as Automated Valuation Models (AVMs) and propensity modelling. You will take full ownership of the end-to-end data science lifecycle-from problem scoping to model deployment-while also setting technical standards, shaping strategy, and managing … scientists. Key Responsibilities Manage a team of 3 data scientists, fostering a high-performance and collaborative culture Own the end-to-end development of predictive models, including AVMs and propensity models Work closely with data engineering and product teams to integrate models into scalable solutions Set the vision and strategy for data science within the business, championing best practices … consumer behaviour data is a bonus, but not required About You Proven experience leading small data science teams in a commercial setting Strong expertise in machine learning, particularly with propensity modelling/AVM's Deep experience with end-to-end model development and deployment Confident working in a fast-paced, hands-on environment Comfortable operating at both strategic More ❯

Being responsible for production and review of weekly departmental KPI's; working with sales, account management marketing and tech to drive performance based on results Project work; pricing engine, propensity modelling Dealing with large data sets and assisting commercial manager and BI analysts with data structure planning Forecasting Competitor analysis Identifying revenue opportunities Ad-hoc, Trend reporting Key More ❯

value of our clients Work closely with the BI and Data team to develop detailed segmentation models on existing customers so they can better understand customer behaviour and build propensity models to drive the communication strategy Working with 3rd party vendors on continuously optimising the systems and delivering best in class experience. Develop engaging, impactful and personalised campaigns that More ❯

high-performing data team focused on delivering predictive models, NLP solutions, and data products that drive business value in the insurance domain. Working end-to-end, you’ll lead modelling efforts from data wrangling to deployment, all while interfacing with clients and stakeholders in a technically rich environment. What You’ll Do Develop and deploy machine learning models including … classification, regression, and clustering Work across the full model lifecycle: data prep, EDA, feature engineering, training, evaluation, and scaling Build predictive and propensity models for underwriting and claims Apply NLP and OCR for document classification and summarisation Collaborate with clients and cross-functional teams to translate data into action What You’ll Bring Strong hands-on data science and … ML experience Expert in Python and modern data science libraries Experience with AWS SageMaker, Databricks, or similar cloud tools Strong background in supervised/unsupervised learning, statistical modelling, and model deployment Solid understanding of NLP techniques for document processing Domain experience in insurance (e.g., underwriting, claims) Ability to work in a fast-paced, client-facing environment Perks & Benefits Competitive More ❯

high-performing data team focused on delivering predictive models, NLP solutions, and data products that drive business value in the insurance domain. Working end-to-end, you’ll lead modelling efforts from data wrangling to deployment, all while interfacing with clients and stakeholders in a technically rich environment. What You’ll Do Develop and deploy machine learning models including … classification, regression, and clustering Work across the full model lifecycle: data prep, EDA, feature engineering, training, evaluation, and scaling Build predictive and propensity models for underwriting and claims Apply NLP and OCR for document classification and summarisation Collaborate with clients and cross-functional teams to translate data into action What You’ll Bring Strong hands-on data science and … ML experience Expert in Python and modern data science libraries Experience with AWS SageMaker, Databricks, or similar cloud tools Strong background in supervised/unsupervised learning, statistical modelling, and model deployment Solid understanding of NLP techniques for document processing Domain experience in insurance (e.g., underwriting, claims) Ability to work in a fast-paced, client-facing environment Perks & Benefits Competitive More ❯