1 to 25 of 44 Customer Segmentation Jobs in London

growth and retention strategies at Harmsworth Media (the I Paper and the New Scientist). You will define and maintain reports to track key performance indicators (KPIs), build advanced customer segmentation models, and leverage predictive analytics to enhance business decision-making and identifying key insights to help identify audience opportunities for prospecting. Main Responsibilities Lead data analysis initiatives … the subscriber lifecycle, from acquisition to retention and lifetime value. Define and maintain reports to track KPIs, providing actionable insights to stakeholders across the business. Develop, improve, and maintain customer segmentation models to provide deep insights into the subscription base and inform Product/Marketing strategies. Utilise predictive analytics and retention modelling to forecast churn risk and customer … techniques. Collaborate with cross-functional teams , including marketing, finance, product and editorial, to ensure data-driven decision-making aligns with business objectives. Deliver actionable recommendations to optimise marketing spend, customer acquisition, product initiatives and retention strategies. Responsible for innovating in how we leverage AI to access and give insights to the newsroom, marketing and product teams . Person Specification More ❯

growth and retention strategies at Harmsworth Media (the I Paper and the New Scientist). You will define and maintain reports to track key performance indicators (KPIs), build advanced customer segmentation models, and leverage predictive analytics to enhance business decision-making and identifying key insights to help identify audience opportunities for prospecting. Main Responsibilities Lead data analysis initiatives … the subscriber lifecycle, from acquisition to retention and lifetime value. Define and maintain reports to track KPIs, providing actionable insights to stakeholders across the business. Develop, improve, and maintain customer segmentation models to provide deep insights into the subscription base and inform Product/Marketing strategies. Utilise predictive analytics and retention modelling to forecast churn risk and customer … techniques. Collaborate with cross-functional teams , including marketing, finance, product and editorial, to ensure data-driven decision-making aligns with business objectives. Deliver actionable recommendations to optimise marketing spend, customer acquisition, product initiatives and retention strategies. Responsible for innovating in how we leverage AI to access and give insights to the newsroom, marketing and product teams . Person Specification More ❯

growth and retention strategies at Harmsworth Media (the I Paper and the New Scientist). You will define and maintain reports to track key performance indicators (KPIs), build advanced customer segmentation models, and leverage predictive analytics to enhance business decision-making and identifying key insights to help identify audience opportunities for prospecting. Main Responsibilities Lead data analysis initiatives … the subscriber lifecycle, from acquisition to retention and lifetime value. Define and maintain reports to track KPIs, providing actionable insights to stakeholders across the business. Develop, improve, and maintain customer segmentation models to provide deep insights into the subscription base and inform Product/Marketing strategies. Utilise predictive analytics and retention modelling to forecast churn risk and customer … techniques. Collaborate with cross-functional teams , including marketing, finance, product and editorial, to ensure data-driven decision-making aligns with business objectives. Deliver actionable recommendations to optimise marketing spend, customer acquisition, product initiatives and retention strategies. Responsible for innovating in how we leverage AI to access and give insights to the newsroom, marketing and product teams . Person Specification More ❯

growth and retention strategies at Harmsworth Media (the I Paper and the New Scientist). You will define and maintain reports to track key performance indicators (KPIs), build advanced customer segmentation models, and leverage predictive analytics to enhance business decision-making and identifying key insights to help identify audience opportunities for prospecting. Main Responsibilities Lead data analysis initiatives … the subscriber lifecycle, from acquisition to retention and lifetime value. Define and maintain reports to track KPIs, providing actionable insights to stakeholders across the business. Develop, improve, and maintain customer segmentation models to provide deep insights into the subscription base and inform Product/Marketing strategies. Utilise predictive analytics and retention modelling to forecast churn risk and customer … techniques. Collaborate with cross-functional teams , including marketing, finance, product and editorial, to ensure data-driven decision-making aligns with business objectives. Deliver actionable recommendations to optimise marketing spend, customer acquisition, product initiatives and retention strategies. Responsible for innovating in how we leverage AI to access and give insights to the newsroom, marketing and product teams . Person Specification More ❯

SENIOR CUSTOMER ANALYST SALARY UP TO £70,000 LONDON We’re looking for a Senior Customer Analyst to work with a global business within the food ordering marketplace to focus on understanding, optimising, growing and extracting value out of their customer base. THE ROLE AND RESPONSIBILITIES: You’ll work on maximising the current value of the customer base particularly around loyalty, retention, and acquisition. Day to day you’ll: Customer Base Management : Evaluate the effectiveness of customer segmentation models and base management strategies to enhance retention, re-engage inactive users, and support end-to-end lifecycle marketing efforts. Insight Generation : Deliver actionable insights on customer behaviour, preferences, and churn indicators to inform … CRM and marketing strategies. Performance Tracking : Develop and maintain dashboards and reports to track key customer metrics, including retention, lifetime value (LTV), churn, and engagement. Cross-Functional Collaboration : Work closely with both local and global stakeholders across CRM, Marketing, and Product teams to ensure data-driven insights are integrated into strategic decisions. Data Storytelling : Leverage visualization tools such as More ❯

SENIOR CUSTOMER ANALYST SALARY UP TO £70,000 LONDON We’re looking for a Senior Customer Analyst to work with a global business within the food ordering marketplace to focus on understanding, optimising, growing and extracting value out of their customer base. THE ROLE AND RESPONSIBILITIES: You’ll work on maximising the current value of the customer base particularly around loyalty, retention, and acquisition. Day to day you’ll: Customer Base Management : Evaluate the effectiveness of customer segmentation models and base management strategies to enhance retention, re-engage inactive users, and support end-to-end lifecycle marketing efforts. Insight Generation : Deliver actionable insights on customer behaviour, preferences, and churn indicators to inform … CRM and marketing strategies. Performance Tracking : Develop and maintain dashboards and reports to track key customer metrics, including retention, lifetime value (LTV), churn, and engagement. Cross-Functional Collaboration : Work closely with both local and global stakeholders across CRM, Marketing, and Product teams to ensure data-driven insights are integrated into strategic decisions. Data Storytelling : Leverage visualization tools such as More ❯

SENIOR CUSTOMER ANALYST SALARY UP TO £70,000 LONDON We're looking for a Senior Customer Analyst to work with a global business within the food ordering marketplace to focus on understanding, optimising, growing and extracting value out of their customer base. THE ROLE AND RESPONSIBILITIES: You'll work on maximising the current value of the customer base particularly around loyalty, retention, and acquisition. Day to day you'll: Customer Base Management : Evaluate the effectiveness of customer segmentation models and base management strategies to enhance retention, re-engage inactive users, and support end-to-end lifecycle marketing efforts. Insight Generation : Deliver actionable insights on customer behaviour, preferences, and churn indicators to inform … CRM and marketing strategies. Performance Tracking : Develop and maintain dashboards and reports to track key customer metrics, including retention, lifetime value (LTV), churn, and engagement. Cross-Functional Collaboration : Work closely with both local and global stakeholders across CRM, Marketing, and Product teams to ensure data-driven insights are integrated into strategic decisions. Data Storytelling : Leverage visualization tools such as More ❯

SENIOR CUSTOMER ANALYST SALARY UP TO £70,000 LONDON We’re looking for a Senior Customer Analyst to work with a global business within the food ordering marketplace to focus on understanding, optimising, growing and extracting value out of their customer base. THE ROLE AND RESPONSIBILITIES: You’ll work on maximising the current value of the customer base particularly around loyalty, retention, and acquisition. Day to day you’ll: Customer Base Management : Evaluate the effectiveness of customer segmentation models and base management strategies to enhance retention, re-engage inactive users, and support end-to-end lifecycle marketing efforts. Insight Generation : Deliver actionable insights on customer behaviour, preferences, and churn indicators to inform … CRM and marketing strategies. Performance Tracking : Develop and maintain dashboards and reports to track key customer metrics, including retention, lifetime value (LTV), churn, and engagement. Cross-Functional Collaboration : Work closely with both local and global stakeholders across CRM, Marketing, and Product teams to ensure data-driven insights are integrated into strategic decisions. Data Storytelling : Leverage visualization tools such as More ❯

Would you like to join a pioneering food delivery firm, where sustainability, ethical practices, and positive business impact are a key business strategy? We are looking for a skilled Customer Insight Analyst to be an integral part of our client’s marketing team. This role is ideal for you if you: Have a keen interest in data analytics within … food delivery and sustainability sector. Are looking to leverage your analytical skills in a dynamic and values-driven environment? Want to play a crucial role in understanding and enhancing customer lifetime value. Essential Skills for the Perfect Candidate: Strong proficiency in Excel, SQL, and Google Analytics. Experience in analysing Customer Lifetime Value in a Direct-to-Consumer business. … Exceptional skills in presenting complex data and building relationships across departments. In this Role, You Will: Analyse and report on customer lifetime value and cost of customer acquisition. Develop AB testing plans for advertising campaigns that contribute to customer growth and retention. Use customer satisfaction metrics to inform strategies and decisions. Participate in creating and reporting More ❯

Would you like to join a pioneering food delivery firm, where sustainability, ethical practices, and positive business impact are a key business strategy? We are looking for a skilled Customer Insight Analyst to be an integral part of our client’s marketing team. This role is ideal for you if you: Have a keen interest in data analytics within … food delivery and sustainability sector. Are looking to leverage your analytical skills in a dynamic and values-driven environment? Want to play a crucial role in understanding and enhancing customer lifetime value. Essential Skills for the Perfect Candidate: Strong proficiency in Excel, SQL, and Google Analytics. Experience in analysing Customer Lifetime Value in a Direct-to-Consumer business. … Exceptional skills in presenting complex data and building relationships across departments. In this Role, You Will: Analyse and report on customer lifetime value and cost of customer acquisition. Develop AB testing plans for advertising campaigns that contribute to customer growth and retention. Use customer satisfaction metrics to inform strategies and decisions. Participate in creating and reporting More ❯

SENIOR CUSTOMER ANALYST LONDON – HYBRID - 2 DAYS A WEEK IN OFFICE SALARY – £70,000 + BONUS THE COMPANY A leading delivery marketplace connecting millions of customers with thousands of restaurant partners! THE ROLE As a Senior Customer Analyst, you will play a pivotal role in driving customer strategy and lifecycle optimisation across acquisition, retention, and loyalty. You … ll use advanced analytics and data storytelling to influence commercial and marketing decisions that shape customer growth. Key Responsibilities: Analyse and optimise customer behaviour across the lifecycle - acquisition, retention, churn. Deliver actionable insights that influence marketing and growth strategy. Run A/B and multivariate tests to evaluate campaign performance. Use SQL and Tableau/Looker to build … by identifying opportunities to move customers through key stages. Collaborate cross-functionally with analytics, marketing, and commercial teams. YOUR SKILLS AND EXPERIENCE Advanced SQL skills essential Strong background in customer, lifecycle, or marketing analytics. Experience owning analytical projects, e.g. customer segmentation, LTV modelling, churn reduction. Strong data storytelling skills - able to translate insights into commercial impact. Ideally More ❯

SENIOR CUSTOMER ANALYST LONDON – HYBRID - 2 DAYS A WEEK IN OFFICE SALARY – £70,000 + BONUS THE COMPANY A leading delivery marketplace connecting millions of customers with thousands of restaurant partners! THE ROLE As a Senior Customer Analyst, you will play a pivotal role in driving customer strategy and lifecycle optimisation across acquisition, retention, and loyalty. You … ll use advanced analytics and data storytelling to influence commercial and marketing decisions that shape customer growth. Key Responsibilities: Analyse and optimise customer behaviour across the lifecycle - acquisition, retention, churn. Deliver actionable insights that influence marketing and growth strategy. Run A/B and multivariate tests to evaluate campaign performance. Use SQL and Tableau/Looker to build … by identifying opportunities to move customers through key stages. Collaborate cross-functionally with analytics, marketing, and commercial teams. YOUR SKILLS AND EXPERIENCE Advanced SQL skills essential Strong background in customer, lifecycle, or marketing analytics. Experience owning analytical projects, e.g. customer segmentation, LTV modelling, churn reduction. Strong data storytelling skills - able to translate insights into commercial impact. Ideally More ❯

re expanding our data and insights capabilities to better understand, serve, and grow our audience community. Role Overview We're looking for a strategic and data-savvy Director of Customer & Audience Insights to lead our understanding of who our users are, what they value, and how we can serve them better. This is a highly cross-functional leadership role … sitting at the intersection of data science, marketing, product, and editorial . You'll oversee customer segmentation, behavioral analytics, retention modeling, and strategic research, translating complex data into actionable insight to fuel decision-making across the business. You'll work closely with marketing, product, editorial, and senior leadership to guide our audience strategy, drive personalized experiences, and maximize … customer lifetime value. Key Responsibilities Lead GB News' customer and audience insight function, developing a deep understanding of viewer behavior, member value, and user journeys. Partner with Data Science and Analytics to design and implement models around segmentation, churn risk, LTV, engagement scoring, and conversion likelihood. Guide research and analysis to support marketing, content, and product teams More ❯

ways to use intelligent data solutions, working alongside innovative thinkers and technical specialists to unlock the full potential of advanced analytics and automation. Principal Data Scientist Credit Risk and Customer Insights - We're also seeking a Principal Data Scientist with strong experience in debt and credit risk, ideally with a background in customer segmentation. In this role, you … ll help us better understand our customers, building models and insights that support fair, informed decisions and stronger customer relationships. Here's a taste of what you'll be doing: As a Principal Data Scientist, you'll combine deep technical expertise with a consultative, collaborative approach. Across these roles, you will: Lead data science projects from initial ideas through … through advanced analytics and data-driven insights Translate complex business requirements into practical models that directly influence commercial decisions Questions about this role? Reach out to Credit risk and Customer Insights Focus Support strategic decision-making around debt, credit risk and customer segmentation Build robust predictive models and propensity models to better understand our customers Partner with More ❯

compliance, and differentiation. You’ll collaborate across product, marketing, sales, and compliance teams to ensure new payment solutions are positioned effectively and meet regulatory standards including KYC (Know Your Customer) , KYB (Know Your Business) , and AML (Anti-Money Laundering) . Key Responsibilities Market Analysis: Research competitive landscapes, customer needs, and emerging trends in payments. Customer & Industry Insight … and feedback, shaping product features and solutions. Product Positioning: Define and communicate the unique value proposition, highlighting differentiators vs. competitors. Pricing Strategy: Develop pricing models aligned with market standards, customer value, and adoption goals. Distribution Strategy: Identify and optimise customer channels, including digital platforms, mobile apps, and strategic partnerships. Marketing & Communications: Collaborate with marketing to build compelling messaging … campaigns, and product collateral. Sales Enablement: Equip sales teams with training, tools, and resources to successfully sell new payment solutions. Launch Execution: Lead product rollouts, customer onboarding, and adoption tracking. Compliance Integration: Ensure go-to-market strategies and product features align with KYC, KYB, and AML requirements. Performance Monitoring: Track KPIs such as acquisition, transaction volume, and revenue to More ❯

compliance, and differentiation. You’ll collaborate across product, marketing, sales, and compliance teams to ensure new payment solutions are positioned effectively and meet regulatory standards including KYC (Know Your Customer) , KYB (Know Your Business) , and AML (Anti-Money Laundering) . Key Responsibilities Market Analysis: Research competitive landscapes, customer needs, and emerging trends in payments. Customer & Industry Insight … and feedback, shaping product features and solutions. Product Positioning: Define and communicate the unique value proposition, highlighting differentiators vs. competitors. Pricing Strategy: Develop pricing models aligned with market standards, customer value, and adoption goals. Distribution Strategy: Identify and optimise customer channels, including digital platforms, mobile apps, and strategic partnerships. Marketing & Communications: Collaborate with marketing to build compelling messaging … campaigns, and product collateral. Sales Enablement: Equip sales teams with training, tools, and resources to successfully sell new payment solutions. Launch Execution: Lead product rollouts, customer onboarding, and adoption tracking. Compliance Integration: Ensure go-to-market strategies and product features align with KYC, KYB, and AML requirements. Performance Monitoring: Track KPIs such as acquisition, transaction volume, and revenue to More ❯

compliance, and differentiation. You’ll collaborate across product, marketing, sales, and compliance teams to ensure new payment solutions are positioned effectively and meet regulatory standards including KYC (Know Your Customer) , KYB (Know Your Business) , and AML (Anti-Money Laundering) . Key Responsibilities Market Analysis: Research competitive landscapes, customer needs, and emerging trends in payments. Customer & Industry Insight … and feedback, shaping product features and solutions. Product Positioning: Define and communicate the unique value proposition, highlighting differentiators vs. competitors. Pricing Strategy: Develop pricing models aligned with market standards, customer value, and adoption goals. Distribution Strategy: Identify and optimise customer channels, including digital platforms, mobile apps, and strategic partnerships. Marketing & Communications: Collaborate with marketing to build compelling messaging … campaigns, and product collateral. Sales Enablement: Equip sales teams with training, tools, and resources to successfully sell new payment solutions. Launch Execution: Lead product rollouts, customer onboarding, and adoption tracking. Compliance Integration: Ensure go-to-market strategies and product features align with KYC, KYB, and AML requirements. Performance Monitoring: Track KPIs such as acquisition, transaction volume, and revenue to More ❯

compliance, and differentiation. You’ll collaborate across product, marketing, sales, and compliance teams to ensure new payment solutions are positioned effectively and meet regulatory standards including KYC (Know Your Customer) , KYB (Know Your Business) , and AML (Anti-Money Laundering) . Key Responsibilities Market Analysis: Research competitive landscapes, customer needs, and emerging trends in payments. Customer & Industry Insight … and feedback, shaping product features and solutions. Product Positioning: Define and communicate the unique value proposition, highlighting differentiators vs. competitors. Pricing Strategy: Develop pricing models aligned with market standards, customer value, and adoption goals. Distribution Strategy: Identify and optimise customer channels, including digital platforms, mobile apps, and strategic partnerships. Marketing & Communications: Collaborate with marketing to build compelling messaging … campaigns, and product collateral. Sales Enablement: Equip sales teams with training, tools, and resources to successfully sell new payment solutions. Launch Execution: Lead product rollouts, customer onboarding, and adoption tracking. Compliance Integration: Ensure go-to-market strategies and product features align with KYC, KYB, and AML requirements. Performance Monitoring: Track KPIs such as acquisition, transaction volume, and revenue to More ❯

OVERVIEW We are super excited to be partnering with one of the largest global lifestyle brands at a pivotal stage in their data journey. As they bring CRM and customer insight capability 'in house' and roll out a new customer data platform, this role will be central to shaping how data science is delivered, working closely with Data … OVERVIEW We are super excited to be partnering with one of the largest global lifestyle brands at a pivotal stage in their data journey. As they bring CRM and customer insight capability 'in house' and roll out a new customer data platform, this role will be central to shaping how data science is delivered, working closely with Data … looking for a passionate and experienced Senior Data Scientist/Manager to lead personalization efforts within their CRM ecosystem. You'll develop predictive models and recommendation systems that enhance customer engagement across global markets. THE ROLE Lead development of machine learning solutions for CRM personalization. Build and optimize recommendation engines using neural networks and deep learnings, incorporating product embeddings More ❯

managing project delivery, timelines, and stakeholder communications. Translate complex business challenges into analytical frameworks and actionable insights using data from multiple sources. Conduct advanced quantitative analyses (e.g., marketing attribution, segmentation, predictive modeling) to uncover business drivers and inform strategy. Present findings and recommendations to senior client stakeholders in a clear, compelling narrative that drives decision-making. Collaborate cross-functionally … years of experience in analytics, strategy consulting, or marketing consulting, with proven client-facing experience. Strong quantitative and analytical skills, with experience in marketing mix modeling, multi-touch attribution, customer segmentation, or identity/data management platforms. A degree in Statistics, Data Science, Marketing Analytics, or a related field. Excellent communication skills, with the ability to simplify complex More ❯

OVERVIEW We are super excited to be partnering with one of the largest global lifestyle brands at a pivotal stage in their data journey. As they bring CRM and customer insight capability 'in house' and roll out a new customer data platform, this role will be central to shaping how data science is delivered, working closely with Data … looking for a passionate and experienced Senior Data Scientist/Manager to lead personalization efforts within their CRM ecosystem. You’ll develop predictive models and recommendation systems that enhance customer engagement across global markets. THE ROLE Lead development of machine learning solutions for CRM personalization. Build and optimize recommendation engines using neural networks and deep learnings, incorporating product embeddings … and other advanced features to improve relevance and performance. Collaborate with CRM and regional marketing teams to align with campaign goals and customer segmentation strategies Own the full ML lifecycle—from model design to deployment and monitoring. Partner with engineering and data teams to ensure scalable solutions. Continuously monitor and improve model performance using data insights and feedback. More ❯

OVERVIEW We are super excited to be partnering with one of the largest global lifestyle brands at a pivotal stage in their data journey. As they bring CRM and customer insight capability 'in house' and roll out a new customer data platform, this role will be central to shaping how data science is delivered, working closely with Data … looking for a passionate and experienced Senior Data Scientist/Manager to lead personalization efforts within their CRM ecosystem. You’ll develop predictive models and recommendation systems that enhance customer engagement across global markets. THE ROLE Lead development of machine learning solutions for CRM personalization. Build and optimize recommendation engines using neural networks and deep learnings, incorporating product embeddings … and other advanced features to improve relevance and performance. Collaborate with CRM and regional marketing teams to align with campaign goals and customer segmentation strategies Own the full ML lifecycle—from model design to deployment and monitoring. Partner with engineering and data teams to ensure scalable solutions. Continuously monitor and improve model performance using data insights and feedback. More ❯

OVERVIEW We are super excited to be partnering with one of the largest global lifestyle brands at a pivotal stage in their data journey. As they bring CRM and customer insight capability 'in house' and roll out a new customer data platform, this role will be central to shaping how data science is delivered, working closely with Data … looking for a passionate and experienced Senior Data Scientist/Manager to lead personalization efforts within their CRM ecosystem. You’ll develop predictive models and recommendation systems that enhance customer engagement across global markets. THE ROLE Lead development of machine learning solutions for CRM personalization. Build and optimize recommendation engines using neural networks and deep learnings, incorporating product embeddings … and other advanced features to improve relevance and performance. Collaborate with CRM and regional marketing teams to align with campaign goals and customer segmentation strategies Own the full ML lifecycle—from model design to deployment and monitoring. Partner with engineering and data teams to ensure scalable solutions. Continuously monitor and improve model performance using data insights and feedback. More ❯

OVERVIEW We are super excited to be partnering with one of the largest global lifestyle brands at a pivotal stage in their data journey. As they bring CRM and customer insight capability 'in house' and roll out a new customer data platform, this role will be central to shaping how data science is delivered, working closely with Data … looking for a passionate and experienced Senior Data Scientist/Manager to lead personalization efforts within their CRM ecosystem. You’ll develop predictive models and recommendation systems that enhance customer engagement across global markets. THE ROLE Lead development of machine learning solutions for CRM personalization. Build and optimize recommendation engines using neural networks and deep learnings, incorporating product embeddings … and other advanced features to improve relevance and performance. Collaborate with CRM and regional marketing teams to align with campaign goals and customer segmentation strategies Own the full ML lifecycle—from model design to deployment and monitoring. Partner with engineering and data teams to ensure scalable solutions. Continuously monitor and improve model performance using data insights and feedback. More ❯

Senior Customer Analyst London Retail Analytics Up to £60,000 + Benefits A leading retail company is looking for a talented senior insight analyst to join their customer analytics team. The role will focus on advanced analytics such as customer segmentation, profiling and predictive modelling and in turn, providing easily understood actionable insight for a variety … large database tables with millions of rows of data Utilise tools such as SQL and Excel to create propensity/regression/CHAID/clustering models to help understand customer behaviours Work closely with various teams within the business to gain a holistic view of customers, trends and competitors Skills and Qualifications Experience and knowledge in SQL Exposure to … using R and/or Python Prior data analytics and optimisation experience, specifically focusing on segmentation, regression or clustering University degree, preferably in a numerate discipline Excellent communication skills Ability to carry out a senior role within the team, mentoring junior analysts, as well as working independently to meet tight deadlines Salary and Benefits Up to £60,000 + More ❯