11 of 11 Customer Segmentation Jobs in London

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 ❯

recommend reading The "API-First World" graphic novel to understand the bigger picture and our vision at Postman. About the Team We are looking for a data-driven and customer-obsessed EMEA Renewals Manager to lead our EMEA Renewals Team in a fast-growing Product-Led Growth (PLG) SaaS environment. You will be responsible for driving customer retention … track record of building scalable renewal strategies in a high-velocity SaaS environment. What You'll Do Lead, coach, and develop a team of Renewal Reps focused on maximizing customer retention and minimizing churn.Own the design and execution of the end-to-end renewal strategy, tailored to both low-touch and high-touch customer journeys.Work cross-functionally with … Product, Customer Success, Sales, and RevOps to align on renewal levers and customer lifecycle touchpoints.Use product usage data and customer health signals to drive proactive and automated renewal workflows.Implement and refine playbooks for renewals based on ARR bands, product tier, and customer behavior patterns.Forecast renewal revenue and track key KPIs including gross/net revenue retention More ❯

a major digital transformation. With a strong presence across web and app channels, the business is investing heavily in analytics, modern data platforms, and digital product capability to improve customer experiences and drive commercial performance. The company operates large-scale digital customer journeys with significant traffic volumes, making data central to decision-making across product, marketing, operations, and … service design. THE TEAM You'll join the Data & Analytics function, which is structured into several specialist groups including: Digital & Customer Operations Analytics Tagging & Tracking Data Engineering Insights, BI & Visualisation This role sits within a cross-functional environment that works agnostic of product, supporting insight generation across digital journeys, product performance, and customer behaviour. You'll lead a … is collaborative, technically strong, and commercially focused - ideal for someone who enjoys blending analytical depth with strategic influence. THE ROLE This position leads the insight agenda across digital channels, customer journeys, and product experiences. You'll shape how data is used to inform decisions, guide digital strategy, and drive engagement and retention across web and app platforms. It's 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 ❯

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 ❯

techniques spanning RAG, grounding, prompt engineering, and orchestration on a GCP-first stack. ·Building and maintaining production ML pipelines and services for non-GenAI use cases e.g. recommender systems, customer segmentation models, marketing optimisation modules, leveraging supervised, unsupervised and/or econometric modelling approaches. ·Developing APIs and microservices for AI/ML solutions, ensuring security, scalability, and observability. … Who you will work with This role reports directly to the Director of AI & Data, and collaborates closely with the wider Data team Data Science, Core Data Engineering, Analytics, Customer Insight and the wider organisation particularly Technology, Legal, and Information Security to onboard/develop & scale AI applications. About you The role requires a blend of technical depth and More ❯

highly analytical and commercially minded Business Analyst to support a strategic consulting engagement focused within B2B sales and marketing sector. The role involves conducting deep market analysis, supporting with customer segmentation frameworks, partner ecosystem mapping, process mapping, partner enablement frameworks and marketing effectiveness assessments Key Responsibilities: Business Analysis: Collaborate with stakeholders (including project managers, lead consultants and delivery … sales and marketing projects Support analysis of business processes within the sales and marketing context (e.g., MQL, SQL) and identify opportunities where technology can be applied to improve efficiency, customer experience, or generate new revenue streams. o Provide Project management support – timelines, deliverables and dependencies Data Analysis: Conduct desk-based research to understand the overall retail and technology market … context, value chain, trends, customer needs and competitor activities o Conduct research interviews and quantitative analysis and synthesise findings into a deliverable Create reports, dashboards, and visualizations to communicate findings related to project performance and business impact. Strategic Mindset: Assess the broader organizational goals within the technology/telecom/retail industry and align initiatives with strategic objectives. Develop More ❯

will: Lead the development and execution of the product vision, strategy, and roadmap for AI-driven content automation services within Open Production apps. Conduct market research, competitive analysis, and customer segmentation to identify opportunities for AI-driven content solutions. Define, prioritise, and manage the product backlog, ensuring alignment with business goals and customer value. Align roadmaps and … product management, with a focus on AI or SaaS products. Strategic thinking and ability to develop a compelling product vision. Demonstrated ability to conduct market research, competitive analysis, and customer segmentation. Experience in prioritising and managing a product backlog effectively. Proficiency in user research methodologies and customer feedback analysis. Ability to translate user needs and business requirements into More ❯

making. Collaborate with various teams to deliver regular and ad hoc analyses tailored to business needs. Generate monthly external reports for key customers. Act as the reference point for customer segmentation and reporting, ensuring data accuracy within SAP and Business Objects, and proactively identifying discrepancies. Participate in cross-functional commercial and financial projects, supporting strategic initiatives. Ensure all More ❯

availability of data across the business Support Looker reporting and improve the existing LookML code base Partner with Operations to deliver insights on supply performance and operational efficiency Lead customer segmentation and churn analysis to support retention and commercial strategy Create dashboards and self serve tools that empower teams across the business Act as a data champion and More ❯

improving data quality, and enabling teams to make smarter decisions. You'll work closely with Operations, Marketing, and Senior Leadership, translating raw information into actionable insights that directly impact customer experience and business growth. What You'll Be Doing Maintaining and improving data pipelines to ensure accuracy and reliability Developing Looker dashboards and supporting LookML code Partnering with Operations … to analyse performance and drive efficiency Leading customer segmentation, churn analysis, and behavioural insights Producing revenue and performance reports for strategic planning Creating self-serve reporting tools and upskilling teams in data literacy Collaborating cross-functionally to meet evolving data needs What We're Looking For Proven experience in a data analyst role Strong SQL, Looker/LookML More ❯