51 to 75 of 83 Customer Segmentation Jobs in England

Data Engineering. Responsibilities: Own and shape the data science function, setting standards for excellence in machine learning, optimisation, predictive analytics, and experimentation. Lead high-impact projects across areas like customer segmentation, CLV modelling, bidding optimisation, and advanced measurement techniques. Work closely with marketing specialists, analysts, and engineers to deliver end-to-end performance marketing solutions. Apply data science More ❯

Data Engineering. Responsibilities: Own and shape the data science function, setting standards for excellence in machine learning, optimisation, predictive analytics, and experimentation. Lead high-impact projects across areas like customer segmentation, CLV modelling, bidding optimisation, and advanced measurement techniques. Work closely with marketing specialists, analysts, and engineers to deliver end-to-end performance marketing solutions. Apply data science More ❯

Week in Office) £85,000-£95,000 + Stock Options THE COMPANY Great opportunity to join a high-growth subscription business as they scale new propositions and expand their customer base; you’ll take ownership of analytics across web and app platforms, helping to shape strategy for new customer-facing experiences, including prize draws and innovative features THE … sit at the heart of product development, focused on launching and optimising new propositions. In this role you will: Lead analytical deep-dives across product performance, user journeys, and customer behaviour Design and analyse A/B tests to validate new product ideas and optimise user experience Collaborate cross-functionally with product managers, strategy, engineering and marketing Inform decision … making for new features, draw mechanics, and growth initiatives Build and maintain dashboards and self-serve tools for stakeholders Support customer segmentation, LTV modelling, and churn analysis YOUR SKILLS AND EXPERIENCE Strong SQL AB Testing Experience Python – preferred but not essential Strong commercial acumen – be able to demonstrate an ability to think beyond the numbers and influence business More ❯

Week in Office) £85,000-£95,000 + Stock Options THE COMPANY Great opportunity to join a high-growth subscription business as they scale new propositions and expand their customer base; you’ll take ownership of analytics across web and app platforms, helping to shape strategy for new customer-facing experiences, including prize draws and innovative features THE … sit at the heart of product development, focused on launching and optimising new propositions. In this role you will: Lead analytical deep-dives across product performance, user journeys, and customer behaviour Design and analyse A/B tests to validate new product ideas and optimise user experience Collaborate cross-functionally with product managers, strategy, engineering and marketing Inform decision … making for new features, draw mechanics, and growth initiatives Build and maintain dashboards and self-serve tools for stakeholders Support customer segmentation, LTV modelling, and churn analysis YOUR SKILLS AND EXPERIENCE Strong SQL AB Testing Experience Python – preferred but not essential Strong commercial acumen – be able to demonstrate an ability to think beyond the numbers and influence business More ❯

tech startup that offers an AI-powered platform for lawyers to manage workflow, compliance, and payments. What the job involves Ownership of Marketing Performance & Funnel Analysis: Analyze the complete customer experience, from initial ad impression through product use to lifetime customer value. Develop and maintain core marketing data products, dashboards, and reports that serve as the single source … performance. Utilize and evolve reporting, CRM, marketing, tagging, and analytics tools such as Google Analytics, Google Ads, Customer.io, Hex, Tag Manager, Posthog, and Meta. Produce insights and measurements from customer performance data, identifying and prioritizing high-impact growth opportunities. Identify conversion bottlenecks across key funnel stages and collaborate with cross-functional teams to resolve them. Investigate user behavior, acquisition … advanced models to answer key business questions, including: Marketing Mix & Attribution Modeling to optimize marketing budget allocation. Predictive LTV Modeling to inform smarter bidding, acquisition strategies, pricing, and promotions. Customer Segmentation to enable personalization and operational efficiency. Churn Prediction to power proactive retention campaigns. Present findings and models clearly to senior leadership to influence strategic decisions. Enable Data More ❯

in using data to drive business decisions, working closely with product managers, engineers, and senior stakeholders (including the CFO ). You'll be uncovering insights that fuel product development, customer growth, and commercial strategy. What you'll do: Lead analytical deep-dives to identify trends, opportunities, and areas for optimisation Deliver clear, actionable insights that influence high-level business … decisions Projects may include customer segmentation, cohort analysis, CLV modelling, pricing strategy, and product funnel performance Present findings to senior stakeholders and help define next steps Improve profitability and efficiency across user journeys - both customer and partner side Tools & Environment: SQL , Redshift , Looker Collaborative product-focused teams, embedded in a modern data stack What we're looking More ❯

fully integrated function within the business. We have built an inclusive and diverse team that operates across 4 layers of the Business: Back End Systems and Engineering; Platforms; Marketing; Customer Service. Our in-house team of over 100 Digital experts are augmented with expertise from partners across the globe to deliver the very best in Retail Technology with a … heart of our Global Growth Strategy. Digital Marketing Team We're a best-in-class marketing function with a strong track record of delivering incremental and profitable growth in customer acquisition and lifetime value. Through a combination of the latest technology, carefully curated external partnerships, and highly skilled internal talent, we continually focus on providing clear and measurable success … AI. In an ever-changing digital landscape, we're perfectly positioned to capitalise on all the new and exciting opportunities on the horizon. The Role We are seeking a customer-centric CRM Coordinator to join our dynamic team. Working together with the Paid Marketing Team, our key focus is to increase frequency and lifetime value by leveraging customer More ❯

first-party data into real commercial value. As a Senior Data Scientist, you’ll own the end-to-end delivery of machine learning models that drive revenue growth, improve customer retention, and optimise decision-making. You’ll work on high-impact challenges like forecasting, churn prediction, customer segmentation, and commercial uplift—delivering solutions that are accurate, explainable … and production-ready. Key Responsibilities Build machine learning models for forecasting, propensity scoring, and segmentation Own workflows from data wrangling and feature engineering through to deployment and monitoring Operationalise models using MLOps tools in a cloud-native environment Architect datasets by merging structured and semi-structured data Work closely with engineers, product managers, and clients to align models with … the growth of the team We’re looking for someone with: 3–5 years’ experience in a Data Science, AI, or ML-related role Experience with forecasting, propensity and segmentation Strong Python skills and experience with libraries like scikit-learn, pandas, and Prophet Hands-on experience developing and deploying ML models in production A track record of working across More ❯

first-party data into real commercial value. As a Senior Data Scientist, you’ll own the end-to-end delivery of machine learning models that drive revenue growth, improve customer retention, and optimise decision-making. You’ll work on high-impact challenges like forecasting, churn prediction, customer segmentation, and commercial uplift—delivering solutions that are accurate, explainable … and production-ready. Key Responsibilities Build machine learning models for forecasting, propensity scoring, and segmentation Own workflows from data wrangling and feature engineering through to deployment and monitoring Operationalise models using MLOps tools in a cloud-native environment Architect datasets by merging structured and semi-structured data Work closely with engineers, product managers, and clients to align models with … the growth of the team We’re looking for someone with: 3–5 years’ experience in a Data Science, AI, or ML-related role Experience with forecasting, propensity and segmentation Strong Python skills and experience with libraries like scikit-learn, pandas, and Prophet Hands-on experience developing and deploying ML models in production A track record of working across More ❯

CAC, LTV, churn, conversion rates, attribution). Design and execute A/B tests and incrementality studies to assess marketing initiatives' impact. Develop statistical models and predictive analytics (e.g., customer segmentation, propensity modelling) to guide marketing strategy. Collaborate with Marketing and Finance teams to forecast marketing performance and support budget allocation decisions. Present actionable insights and recommendations to More ❯

CAC, LTV, churn, conversion rates, attribution). Design and execute A/B tests and incrementality studies to assess marketing initiatives' impact. Develop statistical models and predictive analytics (e.g., customer segmentation, propensity modelling) to guide marketing strategy. Collaborate with Marketing and Finance teams to forecast marketing performance and support budget allocation decisions. Present actionable insights and recommendations to More ❯

merging, and profiling for modeling Knowledge of statistical analyses, modeling, and ability to explain analytic processes and rationale for chosen approaches Familiarity with supervised and unsupervised learning algorithms for customer segmentation, behavior prediction, response modeling, recommendations, and optimization Programming experience with Python and/or R Teamwork and project management skills: collaborative, fair share of work, creative ideas More ❯

requirements. Develop and maintain model-driven Power Apps, ensuring smooth user interaction and scalability. Build and manage Power Pages (formerly Portals) for secure engagement with external audiences. Leverage Microsoft Customer Insights to enable effective customer segmentation, penalisation, and analytics. Design automated work flows using Power Automate to streamline processes and improve efficiency. Connect Dynamics 365 with other … Experience & Skills: Demonstrated experience with Dynamics 365 CRM development and the Microsoft Power Platform. Strong skills in Power Apps (model-driven), Dataverse, and Power Pages. Practical experience using Microsoft Customer Insights for campaigns and analytics. Solid understanding of Power Automate, JavaScript, and portal development using HTML/CSS and Liquid. Proficiency in customising workflows, forms, plugins, and business process More ❯

requirements. Develop and maintain model-driven Power Apps, ensuring smooth user interaction and scalability. Build and manage Power Pages (formerly Portals) for secure engagement with external audiences. Leverage Microsoft Customer Insights to enable effective customer segmentation, penalisation, and analytics. Design automated work flows using Power Automate to streamline processes and improve efficiency. Connect Dynamics 365 with other … Experience & Skills: Demonstrated experience with Dynamics 365 CRM development and the Microsoft Power Platform. Strong skills in Power Apps (model-driven), Dataverse, and Power Pages. Practical experience using Microsoft Customer Insights for campaigns and analytics. Solid understanding of Power Automate, JavaScript, and portal development using HTML/CSS and Liquid. Proficiency in customising workflows, forms, plugins, and business process More ❯

CRM Insight Analyst – Customer Data & Campaign Performance 📍 Birmingham - Hybrid, 2 days in office 💰 Up to £43,000 We’re working with a leading company hiring a CRM Insight Analyst to bring campaign performance data to life and help lay the foundation for smarter, more personalised customer journeys. 🔍 What You’ll Own: You’ll sit in an agile CRM … team (5–6 people) and work closely with both campaign managers and the broader insight function to: Analyse and report on CRM campaign performance Lead on audience selection, segmentation, and personalisation Support the automation strategy (aiming for 80% triggered emails) Build dashboards and improve visibility of key metrics Bring insight and strategic thinking to campaign planning 📈 Key Responsibilities: Plan … audience targeting and customer segmentation strategies Monitor campaign effectiveness and suggest areas for improvement Support the transition to more automated, personalised CRM journeys Collaborate with the research and insight team to enrich campaign data Contribute to long-term strategies to boost channel performance and reach 🧠 What You’ll Need: Solid SQL skills – enough to write queries and navigate More ❯

the team's regular business cadence.- Analyse market trends, historical sales and pipeline data to deliver actionable insights in support for strategy, planning and sales operations. This includes creating customer segmentation models, sales coverage/territory designs and programs to enable decision support.- Lead project management and initiative tracking for growth, championing regional best practices and creating a More ❯

largely hands-on role, with around 20% team leadership. What Youll Do Oversee data science projects, guide junior team members, and drive innovation. Build predictive models for campaign optimisation, customer segmentation, and price elasticity. Design and implement AI-powered solutions to solve complex marketing challenges. Use machine learning and statistical techniques to analyse trends and improve business outcomes. … non-technical stakeholders. What Were Looking For A strong academic background in Computer Science, Mathematics, Physics, or a related field. Proven experience in machine learning applications such as recommendations, segmentation, forecasting, and marketing spend optimisation. Proficiency in Python, SQL, and Git, with hands-on experience in tools like Jupyter notebooks, Pandas, and PyTorch. Expertise in cloud platforms (AWS, Databricks More ❯

hands on role, with around 20% team leadership. What You’ll Do Oversee data science projects, guide junior team members, and drive innovation. Build predictive models for campaign optimisation, customer segmentation, and price elasticity. Design and implement AI-powered solutions to solve complex marketing challenges. Use machine learning and statistical techniques to analyse trends and improve business outcomes. … technical stakeholders. What We’re Looking For A strong academic background in Computer Science, Mathematics, Physics, or a related field. Proven experience in machine learning applications such as recommendations, segmentation, forecasting, and marketing spend optimisation. Proficiency in Python, SQL, and Git, with hands-on experience in tools like Jupyter notebooks, Pandas, and PyTorch. Expertise in cloud platforms (AWS, Databricks More ❯

hands on role, with around 20% team leadership. What You’ll Do Oversee data science projects, guide junior team members, and drive innovation. Build predictive models for campaign optimisation, customer segmentation, and price elasticity. Design and implement AI-powered solutions to solve complex marketing challenges. Use machine learning and statistical techniques to analyse trends and improve business outcomes. … technical stakeholders. What We’re Looking For A strong academic background in Computer Science, Mathematics, Physics, or a related field. Proven experience in machine learning applications such as recommendations, segmentation, forecasting, and marketing spend optimisation. Proficiency in Python, SQL, and Git, with hands-on experience in tools like Jupyter notebooks, Pandas, and PyTorch. Expertise in cloud platforms (AWS, Databricks More ❯

line with the corporate direction. Functional Tasks • Create and maintain a rolling marketing budget • Create strategic and operational marketing plans • Strategic planning including corporate positioning, market and competitive analysis, customer segmentation and penetration plans • Guide team to ensure timely and effective execution of marketing tactics • Analyze market research to determine risk and marketability of potential future products and … software company would be considered an asset. • The successful candidate must thrive in a dynamic and collaborative fast-paced environment. • Must know: Technology & financial services markets, Demand generation techniques, Customer buying and decision making processes, Channel management Remuneration & Benefits • Attractive base and variable compensation package coupled with stock options. More ❯

line with the corporate direction. Functional Tasks • Create and maintain a rolling marketing budget • Create strategic and operational marketing plans • Strategic planning including corporate positioning, market and competitive analysis, customer segmentation and penetration plans • Guide team to ensure timely and effective execution of marketing tactics • Analyze market research to determine risk and marketability of potential future products and … software company would be considered an asset. • The successful candidate must thrive in a dynamic and collaborative fast-paced environment. • Must know: Technology & financial services markets, Demand generation techniques, Customer buying and decision making processes, Channel management Remuneration & Benefits • Attractive base and variable compensation package coupled with stock options. More ❯

Support the commercial team with performance dashboards, pipeline analysis, and revenue forecasting. Collaborate to improve forecasting accuracy and budgeting processes related to revenue. Business Partnering Partner with Sales and Customer Success to assess pricing models, discount strategies, and deal profitability. Provide insights into customer segmentation, product adoption, upsell opportunities, and expansion behaviour. Monitor commercial KPIs and deliver … the financial impact of new initiatives, product launches, or market expansions. Conduct competitive and market analysis to inform pricing, packaging, and GTM strategies. Identify growth levers through data analysis, customer insights, and predictive modelling. Who You Are: 3+ years of experience in a Commercial Analyst, Business Analyst, or FP&A role-preferably in a SaaS environment. Strong understanding of More ❯

Support the commercial team with performance dashboards, pipeline analysis, and revenue forecasting Collaborate to improve forecasting accuracy and budgeting processes related to revenue Business Partnering: Partner with Sales and Customer Success to assess pricing models, discount strategies, and deal profitability Provide insights into customer segmentation, product adoption, upsell opportunities, and expansion behaviour Monitor commercial KPIs and deliver … the financial impact of new initiatives, product launches, or market expansions Conduct competitive and market analysis to inform pricing, packaging, and GTM strategies Identify growth levers through data analysis, customer insights, and predictive modelling Who You Are: 3+ years of experience in a Commercial Analyst, Business Analyst, or FP&A role-preferably in a SaaS environment Strong understanding of More ❯

Specialist to join the team of a growing Henley based B2C business. You’ll be responsible for shaping and delivering a global CRM and loyalty strategy that enhances the customer experience, improves retention, and drives long-term value. Working cross-functionally across marketing, eCommerce, retail, and external partners to bring innovative, data-led CRM initiatives to life. Key Responsibilities … Develop and execute the global CRM strategy and customer lifecycle communications. Lead the design, launch, and optimisation of our first loyalty programme. Manage the email marketing calendar, including campaign planning and A/B testing. Identify data opportunities for deeper customer segmentation and personalisation. Collaborate with internal teams and agencies on CRM and data integration projects. Analyse More ❯

Business Analyst, you'll play a pivotal role in transforming housing services by delivering high-quality business intelligence, performance frameworks, and service reviews. You'll lead on data analysis, customer segmentation, and performance reporting, helping us to deliver inclusive, efficient, and resident-focused services. Key Responsibilities Analyse business, customer, and external data to support continuous improvement. Develop More ❯