19 of 19 Remote Customer Segmentation Jobs in England

food delivery, connecting millions of customers with restaurants across more than 80 markets. The company’s culture is built around collaboration, innovation, and data-driven decision-making . Their Customer Analytics team plays a central role in driving customer growth and loyalty through actionable insight and experimentation. THE ROLE: As a Senior Customer Analyst , you’ll join … the Customer Analytics function, working closely with the Loyalty and Retention teams to drive customer engagement and growth through data. In this role, you’ll: Deliver insights and recommendations to improve customer retention and loyalty. Support the Loyalty Proposition rollout , identifying opportunities to bridge competitive gaps. Conduct customer growth and churn analysis , uncovering key drivers of … customer loss. Translate data into clear, commercial stories that influence marketing and customer strategies. Automate and productionise analytical workflows to enhance efficiency and scalability. Collaborate with senior stakeholders, influencing decision-making across marketing, loyalty, and product teams. YOUR SKILLS AND EXPERIENCE: Must-Have Skills: Advanced SQL proficiency with experience querying, joining, and optimising large datasets. Strong analytical storytelling More ❯

Customer Selections and Analytics Team Lead Location: Midlands - Hybrid (1 day per week in office) | Salary: Up to £60,000 + 17.5% bonus | Start Date: ASAP The Company A highly trusted UK mutual organisation and leading provider of general insurance and financial services. With a reputation built on customer satisfaction and mutual values, this business consistently ranks among … the top UK companies for customer experience and employee engagement. This role sits within the Customer Intelligence division, driving data-driven marketing and customer engagement strategies across all service lines. The team operates in a collaborative environment with exposure to senior stakeholders and high-impact projects. The Role As Customer Selections and Analytics Team Lead, you … ll lead the planning and delivery of all customer selections and campaign evaluation activities. You'll manage a team of six SQL specialists who build automated processes for multi-channel campaigns, ensuring timely delivery of high-quality outputs. This is a hands-on leadership role with strong stakeholder management focus. You'll work across Financial Services, Personal Lines, and More ❯

available Immediate requirement - strong leadership skills We are seeking for an experienced, passionate and highly motivated Data Scientist who will help discover the information hidden in vast amounts of customer data, and help make data driven decisions to deliver better products, service and relevance to the customers. THE ROLE Customer Science Develop and implement predictive models to understand … drivers of customer behaviour, including purchase patterns, customer lifetime events and sentiment analysis Create sophisticated customer segmentation using behavioural, transactional, and demographic data Design and build predictive models to enhance personalized customer experiences across all channels Collaborate on design of test & learn methods to measure CRM initiatives' effectiveness Monitor and optimize model performance through continuous … into clear, actionable insights Create compelling data visualizations to effectively communicate patterns and insights Partner with cross-functional teams to enhance CRM strategies Provide data-driven recommendations to improve customer engagement metrics Skills ? Relevant experience in Customer Marketing Data Science including applied statistics and machine learning techniques (supervised and unsupervised learning, natural language processing, Bayesian statistics, time-series More ❯

resolution. Our annual mission is to empower hundreds of thousands of customers to positively engage with and resolve their outstanding debts . We do this through an empathetic and customer-centric approach that is at the heart of our success. What are we looking for? We are seeking a proactive and experienced individual to join our growing Analytics function. … to improve. Data Engineering: Collaborate with our Data and MI Teams to automate and scale mature processes, as well as quickly build new pipelines for trials Collections Strategy : Propose customer-centric and cost-effective strategies, using a combination of experience and deep data insight. Work cross-functionally to refine, gain buy-in and deploy these strategies. Scoring and segmentation : Build customer segmentation, leveraging and influencing the output of our Decision Science team. Comfortable optimising for commercial and customer outcomes and building testing frameworks. MI and Reporting : Use SQL and Power BI to build your own reports, guiding strategic decision making. Comfortable working with stakeholder to refine requirements and independently to leverage our own insight. Team 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 ❯

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 ❯

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 ❯

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 ❯

campaigns aligned to group trading objectives. Present recommendations to senior stakeholders, influencing decisions across FS P&L, retail trading, and marketing. Collaborate with Data Science to apply advanced analytics (segmentation, modelling, AI) to improve campaign outcomes. Prepare performance reports for Board and committee-level review. Support FS Product & Marketing initiatives and broader Retail projects. Mentor and develop Senior Analysts … a commercial analytics role - ideally in Online Retail or Financial Services. Strong SQL and SAS skills (or equivalent), with advanced Excel and solid PowerPoint/Office capability. Experience in customer segmentation, test-and-control methodologies, and ideally exposure to AI/machine learning. A sharp analytical mind with the ability to turn complex data into clear, actionable insights. More ❯

mindset - you think in terms of ROI, not just model accuracy. - Excellent communication skills with the ability to influence non-technical stakeholders. - Experience with real-time bidding systems or customer segmentation models would be a real plus This ML Engineer based near Birmingham will receive the following benefits: - Base salary of between £75,000 - £90,000 DoE - bonus More ❯

Lead Data Scientist - Leicester We are working with a leading UK retailer and ecommerce company. The role focuses on marketing campaigns, recommendation systems and customer segmentation. You will be a technical lead within the business and work closely with teams to drive measurable impact through various models. They're looking for someone with: Strong experience in Python & SQL - this More ❯

Lead Data Scientist - Leicester We are working with a leading UK retailer and ecommerce company. The role focuses on marketing campaigns, recommendation systems and customer segmentation. You will be a technical lead within the business and work closely with teams to drive measurable impact through various models. They're looking for someone with: Strong experience in Python & SQL - this More ❯

customers. The Opportunity You will lead the design and deployment of AI-driven systems that power real-time decision-making in areas such as credit scoring, transaction monitoring, and customer segmentation. This is a chance to influence the architecture of next-generation banking platforms while mentoring a team of data scientists and collaborating with engineering and product leaders. Key … Responsibilities Drive end-to-end delivery of data science solutions for digital banking and risk analytics use cases. Build predictive models for credit risk, fraud prevention, and customer behaviour using cutting-edge ML techniques. Partner with product teams to embed intelligent decision engines into core banking workflows. Define best practices for model governance, explainability, and regulatory compliance in financial More ❯

customers. The Opportunity You will lead the design and deployment of AI-driven systems that power real-time decision-making in areas such as credit scoring, transaction monitoring, and customer segmentation. This is a chance to influence the architecture of next-generation banking platforms while mentoring a team of data scientists and collaborating with engineering and product leaders. Key … Responsibilities Drive end-to-end delivery of data science solutions for digital banking and risk analytics use cases. Build predictive models for credit risk, fraud prevention, and customer behaviour using cutting-edge ML techniques. Partner with product teams to embed intelligent decision engines into core banking workflows. Define best practices for model governance, explainability, and regulatory compliance in financial More ❯

generate qualified leads and enterprise opportunities. Use CRM platforms (HubSpot, Salesforce) to track pipeline, automate outreach, and report performance. Collaborate closely with operations, research, and tech teams to align customer needs and ensure seamless delivery. Engage directly with senior stakeholders at global Consumer Packaged Goods companies, innovation hubs, and strategic partners. Contribute to shaping commercial strategy, including pricing models … and customer segmentation. Represent FlavorWiki at industry conferences, partner events, and global forums as a brand ambassador. What We're Looking For 8-12 years of experience in business development, commercial strategy, partnerships, or enterprise sales. Background in consumer insights, product research, or data analytics - ideally with experience at firms such as Nielsen, Ipsos, GfK, or similar. Proven success More ❯