51 to 75 of 91 Customer Segmentation Jobs in the UK

of the City as a Jnr Data Scientist. You will be part of a global analytics team using a number of big data technologies to produce complex behavioural models, customer uptake product analysis and new product innovation. Provide data driven analysis via statistical, quantitative, machine learning, programmatic and heuristic methods. Relate statistical and other analytical results to real world … Useful skills to possess: Commercial data science experience Machine learning SQL Msc or PhD preferred in either of the following areas, statistics, physics, mathematics, Computer Science or Engineering Creating customer segmentation models knowledge of SAS Data Mining R/Python Proficient user MS Office This is a superb career opportunity in the Data Science space .This Company invest More ❯

through data-driven recommendations, identifying friction points and high-impact improvement areas Partner with Data Analytics Engineers and Software Engineers to collect and model relevant conversion data throughout the customer lifecycle Champion data-driven culture by sharing insights and building strong stakeholder relationships Design experiments and analysis frameworks to quantify ROI of conversion initiatives Lead by example in applying … for advanced analysis and modeling User research understanding to complement quantitative insights Curious, collaborative team player able to prioritise in a fast-paced environment Nice to have: Familiarity with customer segmentation, predictive modeling, and machine learning techniques. Prior experience supporting data-driven product roadmaps and experimentation programmes A keen interest in trading and/or investing Basic knowledge More ❯

Overview The Senior Manager, Business Development leads a team of Customer Solutions Consultants to drive services bookings growth by identifying and managing new Services business opportunities, initiatives and partnerships. This role oversees the entire business development lifecycle, from pre-sales to post-sales close, ensuring seamless collaboration across sales, service and implementation teams. A critical aspect of this role … trends. Propose and implement new approaches and solutions to address business needs Collaboration - Establish and maintain strong partnerships with Sales leadership and teams, ensuring alignment on priorities, strategies, and customer engagement efforts Campaigns - Partner with Marketing and Service delivery to develop campaigns to promote Hyland services to customers and prospects Tracking - Track and report on business development performance, pipeline … aspects of performance and compensation management for direct reports; provide coaching and development opportunities Actively manage work distribution and support team members on their tasks, participate in internal or Customer meetings to provide guidance as necessary Manage internal and external escalations linked to the performance of the team Selects, develops, trains, and evaluates team members to ensure efficient operation More ❯

skills with ability to balance competing priorities. - Core Program and Project Management skills (regular updates, Program flashes, data audits, review meetings, process audits). - Demonstrated experience in leading analysis, customer segmentation, and/or product behavior analysis. - Pricing Experience - An inherent learn and be curious nature, willing to jump into unexplored topics. Amazon is an equal opportunities employer. More ❯

Digital Lifecycle (Growth) to own and optimize the entire user lifecycle - from acquisition and activation through monetization, engagement, and retention. You'll lead a lifecycle growth strategy across multiple customer journeys (self-serve, prosumer, and enterprise), with full ownership of funnel performance, experimentation, and cross-functional execution. This role requires a deeply analytical, product-minded growth leader who can … Your responsibilities Own and execute DeepL's end-to-end digital lifecycle strategy across self-serve and enterprise segments Drive activation, onboarding, engagement, monetization, and retention across the full customer journey Build and optimize funnel conversion from sign-up to paid, upsell, and expansion; own lifecycle KPIs Design and implement high-impact lifecycle experiments to accelerate user and revenue … growth Partner with Product and Engineering to launch product-led onboarding, nudges, and in-product growth loops Use data and segmentation to deliver personalized, regionally relevant journeys at scale Lead monetization and expansion initiatives that increase ARR and customer lifetime value Own lifecycle tooling and experimentation stack (e.g., Braze, Segment, Mixpanel, etc) Work cross-functionally with Product, Marketing More ❯

ll remember. What You will do: Lead the development of Data Science within Product, producing statistical models that directly impact the insights and recommendations that drive the product and customer experience. Use your knowledge and experience to help scale the impact of the Product Analytics team through data science. Creating automation, self service model capability, improve experimentation velocity, and … to identify opportunity areas, explore through POC to then drive to adoption. Partner with Product Managers, Designers, and Engineers to identify high-impact opportunities where data science can solve customer problems and improve the product. Champion experimentation by designing and analyzing complex AB tests, causal inference models, and uplift modeling to inform product decisions. Guide and mentor other product … qualitative methods (e.g., surveys, user research). Demonstrated experience with applied AI, such as NLP, Large Language Models (LLMs), or Agentic AI for analytics. Deep experience in developing sophisticated customer segmentation models including predictive LTV modeling. Experience working within a two-sided marketplace, e-commerce, or the travel technology industry. Perks of Working at Viator Competitive compensation packages 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 ❯

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 ❯