1 to 25 of 149 Customer Segmentation Jobs in London

The PlayStation brand falls under Sony Interactive Entertainment, a wholly-owned subsidiary of Sony Group Corporation. Our Data Science Analytics and Enablement (DSAE) team inspires PlayStation to make impactful, customer centric decisions through flawless integration of data. Currently there are over 100 people in the global DSAE team, including data science, data governance and analytics professionals. We work closely … insight, predictive analytics, and data visualisation. Overview: Data Scientists in the DSAE team apply sophisticated analytical methods and tools to drive value from the data through methods such as customer segmentation, predictive modelling, forecasting and other algorithms. Our work delivers an in-depth understanding of consumer behaviours and supports multi-channel targeting and personalization. What you will be … are hiring for two vital teams within Data Science: With a focus on forecasting and value modelling, you will help PlayStation quantify and anticipate the future value of our customer base, powering commercial decisions that affect strategy and planning. Your work will enable the business to better understand not just who our customers are, but how their behaviours translate 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. Main Responsibilities Lead data analysis initiatives across 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 behaviour, leveraging data science techniques. Collaborate with cross-functional … teams , including marketing, finance, and product, to ensure data-driven decision-making aligns with business objectives. Deliver actionable recommendations to optimise marketing spend, customer acquisition, and retention strategies. Person Specification 6+ years of experience in data and marketing analytics, preferably in a subscription-based business . Strong commercial acumen , with the ability to translate data insights into business strategies. More ❯

The PlayStation brand falls under Sony Interactive Entertainment, a wholly-owned subsidiary of Sony Group Corporation. Our Data Science Analytics and Enablement (DSAE) team inspires PlayStation to make impactful, customer centric decisions through flawless integration of data. Currently there are over 100 people in the global DSAE team, including data science, data governance and analytics professionals. We work closely … insight, predictive analytics, and data visualisation. Overview: Data Scientists in the DSAE team apply sophisticated analytical methods and tools to drive value from the data through methods such as customer segmentation, predictive modelling, forecasting and other algorithms. Our work delivers an in-depth understanding of consumer behaviours and supports multi-channel targeting and personalization. What you will be … two vital teams within Data Science: Forecasting & Value Models: With a focus on forecasting and value modelling, you will help PlayStation quantify and anticipate the future value of our customer base, powering commercial decisions that affect strategy and planning. Your work will enable the business to better understand not just who our customers are, but how their behaviours translate More ❯

team in London! Salary Range: £60.000 - £70.000 annually, based on experience and qualifications. About the job: We are seeking a highly skilled Data Scientist with expertise in CRM and customer behavior analysis to join our newly founded CRM Data Science team. You will play a crucial role in analyzing customer behavior on our gambling platforms, providing insights and … building features that will drive our business strategies and enhance customer engagement. We are building a new real-time CRM platform, and this is a great chance to have a profound impact on the project. Key Responsibilities: Analyze large datasets to uncover patterns and insights related to customer behavior. Develop predictive models to forecast customer activities and … out the product to customers, and beyond. What will make you stand out: Experience working in an analytics role in the gambling industry. Experience with CRM data analysis and customer segmentation. Knowledge of tensorflow/pytorch. Expertise in using data visualization tools such as Google Looker and working with Google's BigQuery. Experience in design and evaluation of A More ❯

team in London! Salary Range: £60.000 - £70.000 annually, based on experience and qualifications. About the job: We are seeking a highly skilled Data Scientist with expertise in CRM and customer behavior analysis to join our newly founded CRM Data Science team. You will play a crucial role in analyzing customer behavior on our gambling platforms, providing insights and … building features that will drive our business strategies and enhance customer engagement. We are building a new real-time CRM platform, and this is a great chance to have a profound impact on the project. Key Responsibilities: • Analyze large datasets to uncover patterns and insights related to customer behavior. • Develop predictive models to forecast customer activities and … out the product to customers, and beyond. What will make you stand out: • Experience working in an analytics role in the gambling industry. • Experience with CRM data analysis and customer segmentation. • Knowledge of tensorflow/pytorch. • Expertise in using data visualization tools such as Google Looker and working with Google's BigQuery. • Experience in design and evaluation of A More ❯

that specializes in advanced data solutions. We bridge the gap between business problems and sophisticated data solutions, helping clients collect, analyze, and activate data at scale to create impactful customer experiences and drive measurable business results. We Help Propose, Design And Deliver Advanced Data Solutions That Support Predictive Modeling, Machine Learning Applications, AI-driven Insights, And Data-driven Decision … and methodologies. Providing input and sparring on model selection, validation, and implementation. Supervising data scientists and engineers on technical implementation. Developing strategies for leveraging data science in marketing and customer experience. Bridging communication gaps between technical teams and business stakeholders. Who are you going to work with? As a Data Solution Consultant specializing in Advanced Data Solutions, you will … Python). Understanding of model development, validation, and deployment processes. Experience with data visualization and communicating insights to non-technical audiences. Knowledge of marketing applications of data science (e.g., customer segmentation, propensity modeling, recommendation systems). Experience supervising or mentoring data scientists and engineers. A leader in personalized customer experiences VML MAP is a world-leading Centre More ❯

the heart of London. We're looking for a Junior Data Scientist eager to apply their analytical and modelling skills to support data-driven decisions that improve performance, enhance customer engagement, and increase profitability across the retail value chain. 🔍 Your Responsibilities: Analyse consumer and sales data: Work with large, complex datasets to uncover insights on shopper behaviour, purchasing trends … and retail performance. Support predictive modelling: Collaborate on machine learning models to forecast demand, optimise inventory, and personalise the customer journey. Develop retail data solutions: Build algorithms and tools that drive smarter pricing, promotion, and merchandising strategies. Cross-functional collaboration: Work closely with marketing, merchandising, and product teams to align data science initiatives with business goals. Data storytelling: Design … data and share insights clearly with both technical and commercial teams. 🌟 It’s a Bonus If You Have: Experience working with retail, e-commerce, or consumer data Knowledge of customer segmentation, churn analysis, or product recommendation engines A passion for retail trends and consumer psychology A curious mindset and eagerness to learn in a fast-paced environment 🎁 What More ❯

We know that good business is about good people. So we pride ourselves on providing meaningful, human support as well as fast, hassle free processes to deliver an unbeatable customer experience. The role Design and execute experiments to test marketing hypotheses : Design, develop, and implement a range of experiments which will test and validate hypotheses across channels, segments and … audiences which will derive actionable insights and decision making. Develop predictive models: develop, test and implement predictive models to inform business decisions, such as customer segmentation, retention models and customer lifetime value. Communicate results and engage with stakeholders : Effectively communicate complex technical concepts and findings to both technical and non-technical stakeholders. Present insights and recommendations in More ❯

alongside a forward-thinking team that’s redefining how data powers business success. What’s in it for you? Impactful AI/ML Projects: Build models for pricing optimisation, customer segmentation, and deal prioritisation that drive real business outcomes. Cross-Functional Collaboration: Work with sales, finance, and pricing teams to translate models into tools and decision aids. Learning More ❯

alongside a forward-thinking team that’s redefining how data powers business success. What’s in it for you? Impactful AI/ML Projects: Build models for pricing optimisation, customer segmentation, and deal prioritisation that drive real business outcomes. Cross-Functional Collaboration: Work with sales, finance, and pricing teams to translate models into tools and decision aids. Learning More ❯

Job Title Specialist Retail Customer Analyst Logistics Contract length: 6 months Day rate: £400-£450 (Outside IR35) Location: Hybrid-2 days/week in London office Start date: Flexible (within the next month) The Context You'll embed within a leading retail/FMCG organisation that treats consumer insight as its competitive edge. Your analyses will shape loyalty programmes … promotional strategies and product assortments to maximise retention, basket size and lifetime value. Role Overview As a Specialist Retail Customer Analyst, you'll own end-to-end customer analytics: extracting and modelling sales and behavioural data, building dashboards and presenting actionable consumer insights to cross-functional teams. Key Responsibilities Develop customer segmentation, CLV and propensity models … engagement metrics Translate complex analyses into clear recommendations for marketing, e-commerce and executive stakeholders Partner with data engineering and commercial teams to operationalise insights Must-Haves 3+ years' customer-insights or analytics experience in retail/FMCG Bachelor's or Master's in a quantitative discipline (e.g., Economics, Statistics, Data Science) Expert SQL skills and proficiency in Python More ❯

Job Title Specialist Retail Customer Analyst Logistics Contract length: 6 months Day rate: £400-£450 (Outside IR35) Location: Hybrid-2 days/week in London office Start date: Flexible (within the next month) The Context You'll embed within a leading retail/FMCG organisation that treats consumer insight as its competitive edge. Your analyses will shape loyalty programmes … promotional strategies and product assortments to maximise retention, basket size and lifetime value. Role Overview As a Specialist Retail Customer Analyst, you'll own end-to-end customer analytics: extracting and modelling sales and behavioural data, building dashboards and presenting actionable consumer insights to cross-functional teams. Key Responsibilities Develop customer segmentation, CLV and propensity models … engagement metrics Translate complex analyses into clear recommendations for marketing, e-commerce and executive stakeholders Partner with data engineering and commercial teams to operationalise insights Must-Haves 3+ years' customer-insights or analytics experience in retail/FMCG Bachelor's or Master's in a quantitative discipline (e.g., Economics, Statistics, Data Science) Expert SQL skills and proficiency in Python More ❯

s growth roadmap and using your expertise to grow top line revenues and guide commercial initiatives from our data. You'll own the analysis of the end-to-end customer journey, using our data stack ( BigQuery, dbt, Hex ) to create data models, data products, metrics and find insights that fuel our growth. You'll work closely with other engineers … likes to work autonomously, thrives when solving hard problems and wants to have individual and societal impact. What You'll Do Own Marketing Performance & Funnel Analysis Analyse the complete customer experience, from the first ad impression through product use to lifetime customer value. Develop and maintain core marketing data products, dashboards and reports that serve as the single … funnel performance. Using and evolving reporting, CRM, marketing, tagging and analytics tools, such as Google Analytics, Google Ads, Customer.io , Hex, Tag Manager, Posthog, Meta) Produce insights and measurements from customer performance data, identifying and prioritising the highest-impact opportunities for growth. Identify conversion bottlenecks across our key funnel stages and partner with cross-functional teams to resolve them. Investigate More ❯

Act as the Analytics Subject Matter Expert for Digital, Brand, and CRM marketing. Lead a team of Marketing Analysts to produce actionable insights. Provide analysis on marketing performance, considering customer segmentation and ROI to enhance campaign effectiveness. Create data visualisations and KPI dashboards that simplify data for different audiences. Work collaboratively with internal teams and external media agency … week ago Digital Marketing Analyst - Relocate to Saudi Arabia, Permanent Expat Family Relocation Package Greater London, England, United Kingdom 3 weeks ago London, England, United Kingdom 2 weeks ago Customer & Marketing Analyst | Health & Fitness Measurement Analyst- Global Business Solutions London, England, United Kingdom 8 hours ago London, England, United Kingdom 1 week ago London, England, United Kingdom 1 week More ❯

reporting requests, and broader data initiatives. Contribute to data governance by documenting definitions, processes, and ensuring consistency across the organization. Assist in advanced analytics initiatives, such as fraud detection, customer segmentation, churn analysis, and performance tracking. 2–4 years of experience in a data analytics role, ideally within the casino, iGaming, or online entertainment industry. Strong SQL skills More ❯

with our fully SaaS, fully decoupled, and highly composable solution. We are proud to help more than 10,000 businesses, including H&M, PayPal, Zoom, and Toyota, enrich their customer lifetime value, increase revenue and grow their brands. Our innovation and excellence have earned us numerous recognitions as a leader by industry analysts such as Gartner, Forrester, and IDC … part of a company that's empowering people to unlock their digital potential! To get a sneak peek into our culture, find us on Optimizely is seeking an experienced Customer Success Analytics Lead, to join our Data Services function. This role will be critical to helping optimize our decision-making abilities across our Customer Success teams. This position … best in class insights and proposals for change, designing solutions and working cross-functionally to implement process and change within the organization. Job Responsibilities • Data-Driven Action Requirements: Leverage customer performance data and AI to identify patterns, drivers, and actionable insights across customer health, adoption, satisfaction (e.g. NPS/CSAT), Ideal Customer Profile (ICP) and churn risk More ❯

weeks ago Be among the first 25 applicants Get AI-powered advice on this job and more exclusive features. Job Role : Customer Data Platform Manager Location: London/Manchester/Edinburgh/Newcastle/Birmingham Career Level : Manager – ML7 We Are: Accenture Song accelerates growth and value for our clients through sustained customer relevance. Our capabilities span ideation … our global team, you'll be working with cutting-edge technologies and will have the opportunity to develop a wide range of new skills on the job. As a Customer Data Platform Manager, you will: Have an extensive background in customer data platforms for large organisations and will be comfortable integrating multiple complex data sets, so clients better … understand their customers and how to activate them for marketing use cases. During client projects you will lead cross functional teams to promote a customer-centric vision, often providing pivotal guidance for data driven decision-making, data integration and enhancing customer experience strategies for our clients. Key Responsibilities: Oversee the implementation and ongoing management of the customer More ❯

solutions across the consumer products sector. You will be responsible for developing and executing comprehensive product marketing strategies to position our solutions as industry-leading, drive demand, and ensure customer satisfaction. Responsibilities Product Strategy: Collaborate with the product management team to shape product strategies and roadmaps, ensuring alignment with market needs and customer demands. Market Analysis: Conduct in … depth market research, competitive analysis, and customer segmentation to identify key opportunities and threats. Use data-driven insights to inform product decisions. Go-to-Market Strategy: Develop and execute go-to-market plans for new product launches and feature updates, including messaging, pricing, and distribution strategies. Messaging & Positioning: Craft compelling value propositions and messaging that resonate with target … to educate and engage prospects and customers. Demand Generation Partnership: Collaborate with the demand generation team to create and execute marketing campaigns that drive qualified leads and revenue growth. Customer Advocacy: Foster relationships with satisfied customers and turn them into advocates who can provide testimonials, references, and case studies. Analytics and Measurement: Establish key performance indicators (KPIs) and regularly More ❯

what-if' scenario models to forecast the impact of strategic pivots-including budget reallocation, channel mix optimization, and economic shifts-on revenue performance. Establish standard methodologies for campaign measurement, segmentation performance, and influence tracking. Analytics Partnership & Insight Delivery: Translate technical outputs into clear narratives for CMO and executive stakeholders. Work closely with the Marketing Data Visualization & Reporting lead to … develop dashboards and visualization layers. Partner with Customer Data Intelligence and CDP/Target teams to align audience modelling with performance insight. Collaborate closely with the Marketing Data Enablement team to ensure clean, structured data pipelines and with Corporate Technology to align infrastructure, tooling, and integration strategies. Create frameworks to measure personalization, ABM program efficacy, and segment-level lift. … convey technical insights to senior stakeholders. Additional Preferred Qualifications: Experience working with Adobe Analytics, Salesforce, Snowflake, Marketo, CDPs, and multi-touch attribution tools. Familiarity with CLTV, cohort analysis, and customer segmentation modelling. Background in working within Revenue Operations or Performance Marketing Centers of Excellence. Exposure to AI-driven modelling, predictive segmentation, or real-time scoring. What's More ❯

what-if' scenario models to forecast the impact of strategic pivots-including budget reallocation, channel mix optimization, and economic shifts-on revenue performance. Establish standard methodologies for campaign measurement, segmentation performance, and influence tracking. Analytics Partnership & Insight Delivery: Translate technical outputs into clear narratives for CMO and executive stakeholders. Work closely with the Marketing Data Visualization & Reporting lead to … develop dashboards and visualization layers. Partner with Customer Data Intelligence and CDP/Target teams to align audience modelling with performance insight. Collaborate closely with the Marketing Data Enablement team to ensure clean, structured data pipelines and with Corporate Technology to align infrastructure, tooling, and integration strategies. Create frameworks to measure personalization, ABM program efficacy, and segment-level lift. … convey technical insights to senior stakeholders. Additional Preferred Qualifications: Experience working with Adobe Analytics, Salesforce, Snowflake, Marketo, CDPs, and multi-touch attribution tools. Familiarity with CLTV, cohort analysis, and customer segmentation modelling. Background in working within Revenue Operations or Performance Marketing Centers of Excellence. Exposure to AI-driven modelling, predictive segmentation, or real-time scoring. What's More ❯

an experienced Data Scientist to join their fast-paced, agile environment on a 6-month hybrid contract . Key Responsibilities: Design and deploy machine learning models for risk scoring, customer segmentation, and product optimisation Analyse large financial datasets to uncover trends and support product and credit teams Develop custom statistical models for portfolio analysis and performance forecasting Collaborate More ❯

an experienced Data Scientist to join their fast-paced, agile environment on a 6-month hybrid contract . Key Responsibilities: Design and deploy machine learning models for risk scoring, customer segmentation, and product optimisation Analyse large financial datasets to uncover trends and support product and credit teams Develop custom statistical models for portfolio analysis and performance forecasting Collaborate More ❯

of the product team responsible for developing data solutions for our clients using Power BI and other relevant data and reporting technologies. Developing internal business analytics on product usage, customer segmentation, feedback analysis, product performance, and customer sentiment. Exploring new and existing frameworks/techniques for maximising product value from existing datasets for end customers. Cross-functional More ❯

businesses. The role Design and execute experiments: Develop and implement experiments to test marketing hypotheses across channels, segments, and audiences, deriving actionable insights. Develop predictive models: Create models for customer segmentation, retention, and lifetime value to inform business decisions. Communicate results: Effectively present complex findings to both technical and non-technical stakeholders to support decision-making. Analyze datasets More ❯

style. We Are One: For Love | For Diversity | For Change | For Equality | For Kindness | For Freedom | For Unity | Against Racism. We are looking for a detail-oriented and analytical customer data professional to head up a newly formed Team. The ideal candidate will be responsible for analysing and interpreting customer data to provide actionable insights that drive business … decisions, enhance customer experiences, and improve overall marketing strategies. The role requires a strong understanding of data analysis, customer behaviour, and data visualization, along with the ability to work cross-functionally with marketing, sales, and product teams. The successful applicant will have previous experience with Customer Segmentation and Analysis, not necessarily from a fashion background. The … Hard, Be Positive, Know What Good Looks Like, Own Your Own Future, Look For Solutions, Be a Part of a Team, Speak Up, Be Honest. Data Collection & Management: Utilise customer data from multiple sources (CRM systems, transactional databases, web analytics, etc.) through mParticle and Snowflake our core Customer Data Profile Warehouse. Ensure the accuracy, consistency, and integrity of More ❯