26 to 50 of 75 Customer Segmentation Jobs in the UK

West London | Onsite | Salary Competitive | 1 Year FTC Visa Sponsorship not available. IMMEDIATE START Omnis Partners is assisting a leading international organisation in hiring an Interim Customer Analyst. This role offers a hands-on opportunity for a data-driven professional to influence customer strategy and drive pricing initiatives across several European markets. What you will do: • Develop and … optimise dynamic ticket pricing models across European markets. • Analyse pricing performance, competitor trends, and customer data to inform strategy. • Manage pricing data and governance within the ERP system. • Build customer segmentation and predictive models to drive personalisation. • Design and assess A/B tests and other experiments to evaluate commercial impact. • Provide actionable insights and dashboards for … retail, leisure, or multi-market environments. • Strong Skills in SQL, Python, and data visualisation tools (Power BI preferred). • Experience in building models to deliver actionable insights. • Experienced with customer/CRM analytics and predictive customer segmentations. • Degree in a quantitative field (Statistics, Maths, Economics, Physics) is advantageous. Personal Attributes: • Results-driven, pragmatic, and focused on continuous improvement. More ❯

Customer Insight Analyst- Loyalty - Retail - £500-£550 pd via Umbrella Initially for 6 months Hampshire- Hybrid- A couple of days per month required onsite Global Retail company is looking to recruit a Customer Insight Analyst to support the development and delivery of a new loyalty proposition. This role is centred on delivering high-quality analysis and actionable insights … to shape loyalty strategy, inform proposition design, enhance customer engagement, and programme performance. Skills/experience: Extensive experience in an analytical role, with strong proficiency in SQL and ideally working knowledge of Python or R. Demonstrated ability to work with customer data in the context of loyalty, CRM, or marketing programs-generating insights that boost customer retention … engagement, and value. Experience of working with large amounts of data Skilled in designing and evaluating loyalty propositions, including financial modelling, customer segmentation, and benefit testing. Experience of Databricks, Snowflake, or BigQuery. Proven track record in measuring campaign Excellent communications skills #customerdata #insightanalyst #dataanalyst #CRM #loyalty #analyst #sql #databricks Reasonable Adjustments: Respect and equality are core values to 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 ❯

Performance Directors to drive and deliver the group's revenue ambitions. Commercial & Performance Analytics Partner with Strategic Initiatives and Commercials teams to diagnose, plan and solve complex business and customer related challenges. Partner with CCO and executives to influence corporate and business strategic priorities and decision making. Serve as a commercial thought leader, shaping strategy, challenging conventions, and elevating …/quarterly performance sessions and influence strategy development, backed by a deep understanding of key performance drivers and opportunities to optimise growth and efficiency. Provide actionable insights that enhance customer acquisition, retention, and lifetime value. Collaborate with finance and commercial teams to improve revenue forecasting, maximise campaign ROI, and refine P&L modelling. Operational & Functional Analytics Act as the … principal analytics partner to the CCO leadership and executive team. Identify operational inefficiencies and partner with teams to improve performance (e.g., payments, fraud, CRM, customer support). Partner with central BI and Engineers to rapidly develop deep, interactive real time reporting and dashboards to support day to day business execution. Consumer & Product Analytics Partner with central teams to develop More ❯

AI and Machine Learning solutions to solve complex challenges across our banking, financial services, and fintech operations. You will be instrumental in driving revenue growth, optimizing risk management, enhancing customer experiences, and ensuring regulatory compliance on a global scale. Key Responsibilities End-to-End Model Development: Lead the entire ML lifecyclefrom problem framing, data exploration, and feature engineering to … Design: Develop and implement sophisticated machine learning algorithms (e.g., Gradient Boosting, NLP, Deep Learning, Graph Analytics, Reinforcement Learning) for use cases such as fraud detection, credit scoring, algorithmic trading, customer segmentation, and sentiment analysis. Stakeholder Management: Collaborate closely with business leaders (e.g., Risk, Marketing, Trading, Operations) to translate complex business problems into actionable data science projects with clear … model deployment and lifecycle management. Financial Domain Knowledge: Direct experience with at least two of the following domains: Credit Risk Modeling, Fraud Detection, Anti-Money Laundering (AML), Know Your Customer (KYC), Algorithmic Trading, Customer Lifetime Value (CLV), or Marketing Optimization. Model Risk Management (MRM): Solid understanding of model validation, bias/fairness testing, explainable AI (XAI) techniques, and More ❯

in revenue and establish Remote as the international leader in global HR and remote work. You'll design and own the strategies that drive engagement, retention, and long-term customer value. This role is both strategic and hands-on — building a high-performing team while innovating across the customer journey to maximize impact. What You Bring Proven track … record in lifecycle, CRM, or retention marketing, with success at scale in fast-paced environment. Expertise in building and scaling customer lifecycle programs across multiple channels. Strong analytical skills with a track record of leveraging data to inform strategy and execution. Experience managing and scaling high-performing teams with a focus on ownership and accountability. Deep understanding of customer segmentation, messaging, and personalization at scale. Entrepreneurial mindset with a balance of creative vision and operational rigor. Passion for innovation and elevating the digital customer experience. Writes and speaks fluent English. It's not required to have experience working remotely, but considered a plus. Key Responsibilities Own the end-to-end lifecycle marketing strategy, from onboarding to More ❯

increasingly digital-first world. With strong brand recognition, trusted infrastructure, and a global footprint, were now focused on accelerating our growth through innovative products, modern marketing, and world-class customer experiences. Were looking for a data-driven, impact-oriented Growth Analyst to support the execution of growth initiatives across Xes B2B and B2C platforms in United Kingdom and Continental … Europe. Reporting to the Growth Manager, this role will serve as a key analytical and operational partner, translating customer data into actionable insights, running experiments across the funnel, and helping to scale revenue-driving programs. If youre passionate about fintech, thrive on turning data into growth opportunities, and are eager to drive impact across the entire customer journey … in a fast-moving environment, this is your chance to play a key role in shaping our growth strategy through insight and execution. KEY RESPONSIBILITIES Growth Analytics & Insights: Analyze customer behavior, marketing performance, and product usage data to identify opportunities for growth across acquisition, activation, retention, and expansion. Develop dashboards, deep dives, and recurring reports to support decision-making. More ❯

increasingly digital-first world. With strong brand recognition, trusted infrastructure, and a global footprint, were now focused on accelerating our growth through innovative products, modern marketing, and world-class customer experiences. Were looking for a data-driven, impact-oriented Growth Analyst to support the execution of growth initiatives across Xes B2B and B2C platforms in United Kingdom and Continental … Europe. Reporting to the Growth Manager, this role will serve as a key analytical and operational partner, translating customer data into actionable insights, running experiments across the funnel, and helping to scale revenue-driving programs. If youre passionate about fintech, thrive on turning data into growth opportunities, and are eager to drive impact across the entire customer journey … in a fast-moving environment, this is your chance to play a key role in shaping our growth strategy through insight and execution. KEY RESPONSIBILITIES Growth Analytics & Insights: Analyze customer behavior, marketing performance, and product usage data to identify opportunities for growth across acquisition, activation, retention, and expansion. Develop dashboards, deep dives, and recurring reports to support decision-making. More ❯

digital-first world. With strong brand recognition, trusted infrastructure, and a global footprint, we’re now focused on accelerating our growth through innovative products, modern marketing, and world-class customer experiences. We’re looking for a data-driven, impact-oriented Growth Analyst to support the execution of growth initiatives across Xe’s B2B and B2C platforms in United Kingdom … and Continental Europe. Reporting to the Growth Manager, this role will serve as a key analytical and operational partner, translating customer data into actionable insights, running experiments across the funnel, and helping to scale revenue-driving programs. If you’re passionate about fintech, thrive on turning data into growth opportunities, and are eager to drive impact across the entire … customer journey in a fast-moving environment, this is your chance to play a key role in shaping our growth strategy through insight and execution. KEY RESPONSIBILITIES Growth Analytics & Insights: Analyze customer behavior, marketing performance, and product usage data to identify opportunities for growth across acquisition, activation, retention, and expansion. Develop dashboards, deep dives, and recurring reports to More ❯

digital-first world. With strong brand recognition, trusted infrastructure, and a global footprint, we’re now focused on accelerating our growth through innovative products, modern marketing, and world-class customer experiences. We’re looking for a data-driven, impact-oriented Growth Analyst to support the execution of growth initiatives across Xe’s B2B and B2C platforms in United Kingdom … and Continental Europe. Reporting to the Growth Manager, this role will serve as a key analytical and operational partner, translating customer data into actionable insights, running experiments across the funnel, and helping to scale revenue-driving programs. If you’re passionate about fintech, thrive on turning data into growth opportunities, and are eager to drive impact across the entire … customer journey in a fast-moving environment, this is your chance to play a key role in shaping our growth strategy through insight and execution. KEY RESPONSIBILITIES Growth Analytics & Insights: Analyze customer behavior, marketing performance, and product usage data to identify opportunities for growth across acquisition, activation, retention, and expansion. Develop dashboards, deep dives, and recurring reports to More ❯

digital-first world. With strong brand recognition, trusted infrastructure, and a global footprint, we’re now focused on accelerating our growth through innovative products, modern marketing, and world-class customer experiences. We’re looking for a data-driven, impact-oriented Growth Analyst to support the execution of growth initiatives across Xe’s B2B and B2C platforms in United Kingdom … and Continental Europe. Reporting to the Growth Manager, this role will serve as a key analytical and operational partner, translating customer data into actionable insights, running experiments across the funnel, and helping to scale revenue-driving programs. If you’re passionate about fintech, thrive on turning data into growth opportunities, and are eager to drive impact across the entire … customer journey in a fast-moving environment, this is your chance to play a key role in shaping our growth strategy through insight and execution. KEY RESPONSIBILITIES Growth Analytics & Insights: Analyze customer behavior, marketing performance, and product usage data to identify opportunities for growth across acquisition, activation, retention, and expansion. Develop dashboards, deep dives, and recurring reports to More ❯

with CAVU's marketing, digital, and commercial goals. Providing thought leadership in using data to inform strategic initiatives, drive innovation, and optimise ROI. Overseeing marketing analytics, including campaign performance, customer segmentation, and media effectiveness. Leading digital analytics to measure and optimise performance across web, app, social, and CRM channels. Delivering deep commercial analysis covering sales performance, pricing, and … how you align with our CAVU culture and values. ID&E at CAVU We're building something brilliant at CAVU: a diverse team of people who reflect the global customer base that we serve. We're proudly part of MAG and together we're on a mission to be number one in our industries - and that takes talent in 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 ❯

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 ❯

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 ❯

help drive strategic use of data to support both Insurer Relations and Marketing teams. Sitting within the Analytics & Enrichment team, you will lead a team of analysts to deliver customer insight, selection models and performance analytics that inform decisions across our insurance brands. This role blends hands-on analytics with leadership, stakeholder engagement and innovation in Analytics and Data … techniques (eg logistic regression, clustering, GBMs) and the application of these in a commercial context. Advanced SQL skills with experience with Python and/or R. Solid understanding of customer segmentation and its applications. Excellent communication and storytelling skills, with the ability to influence senior stakeholders. Strong organisational and strategic thinking capabilities. Resilience, can work independently to deliver 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 ❯