1 to 25 of 295 Customer Segmentation Jobs in England

and together find the good out there. We are looking for a principal analyst to join the marketing analytics team. If you're passionate about extracting, analyzing, and interpreting customer data to provide actionable insights that enhance our CRM strategies and optimize customer engagement, we’d love to have you on board! What you'll do: Analyze customer behavior, segmentation, and trends to identify opportunities for targeted marketing campaigns and personalized customer experiences. Develop and implement predictive models to forecast customer behavior, optimize marketing campaigns, and personalize customer interactions. Work on code reviews, architecture discussion, and collaboration with a multidisciplinary team for regular model deployments. Design, code, experiment and implement models and algorithms … to enhance customer communications and optimize business results. Collaborate with cross-functional teams to implement CRM strategies that align with business objectives and improve customer experience. Conduct incremental tests and performance analysis of marketing campaigns to optimize ROI and conversion rates. Stay current with industry trends and best practices in CRM, marketing analytics, and customer segmentation More ❯

want to pass that growth onto you. Are you passionate about turning data into powerful insights that shape strategic decisions? At Screwfix, we're looking for a Senior Analyst (Customer Data) to play a critical role in transforming how we understand and serve our customers. In this exciting role, you'll lead the analysis of customer behaviour and … high-level decision-making across trading, CRM, and marketing. You'll be a key voice in the room, translating complex findings into clear, actionable strategies that improve performance and customer experience. This is more than just a numbers role, it's an opportunity to impact the future of one of the UK's fastest-growing retailers. You'll work … impact for our planet and future generations. Join Screwfix and discover a workplace where you can belong, grow, and help build a more sustainable future. Responsibilities - Conduct analysis into customer behaviour, purchasing patterns, and sales data to identify trends, opportunities and actionable insights to inform decision making to enhance commercial decision making and drive business performance. - Translate complex data 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 … 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 ❯

UK is seeking a highly skilled Senior Data Scientist to join their dynamic analytics team in Manchester. In this role, you will lead strategic data initiatives aimed at optimizing customer engagement, pricing, and inventory management across retail operations. Key Responsibilities: Develop and deploy machine learning models to support business objectives (e.g., customer segmentation, demand forecasting, price optimization … . Conduct deep-dive analyses on customer behavior, sales trends, and supply chain data. Translate complex data findings into clear, actionable insights for stakeholders. Collaborate with cross-functional teams including marketing, merchandising, and supply chain. Mentor and support junior data scientists and analysts. Promote best practices in data science, model validation, and experimentation (e.g., A/B testing). More ❯

Design business intelligence and analytics tools to track business performance across marketing, sales, and retail organizations. Model Development and Optimization Build advanced analytics to extract key strategic insights (product, customer, etc..) to inform key strategic decisions. Build, test and validate predictive models to support business needs. Implement and maintain machine learning models in production environment. Monitor model performance and … and interactive dashboards in Tableau or PowerBI Ability to use core analytics methods in developing solutions (one or more of the following) Statistics (t-tests, ANOVA) & design of experiments Segmentation/clustering techniques Time series analysis Familiarity with a broad base of analytics tools (one or more of the following): Data Management: SQL and Alteryx BI: Tableau Desktop, Tableau … in applied analytics for business problem solving with strong project management skills (one or more of the following): Building analytical solutions for Pricing and promotional effectiveness, Loyalty program effectiveness, Customer segmentation and targeting, Salesforce allocation and effectiveness, churn prevention. Experience and knowledge in data engineering Physical Position Requirement: Position is based in Parsippany, NJ Office based role Travel 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 ❯

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 ❯

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 ❯

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 … them from ideation phase to product delivery. 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 ❯

we’re not done. We’re on the road to a net zero future, and thanks to our partnership with ESB, we’re well on the way. We’re customer-centric, tech-led, and passionate about sustainability. We Want To Do The Best We Can For Our Customers, Each Other, And Our Planet, So We’ve Created a Workplace … of data to transform the energy sector and influence the experiences we build for our customers. By working closely with Finance, Sales, Trading and Product teams, you will analyse customer behaviours, consumption patterns, develop advanced models, and uncover new opportunities within traded and flexibility markets. Your insights will guide strategic decisions and enhance customer segmentation to better … meet our customers’ needs. Reporting into our Head of Data Nethin Maharaj What You’ll Be Getting Up To Analyse customer energy consumption data to identify trends, behaviours, and opportunities for new products or services. Develop predictive models for customer usage patterns, consumption forecasting, and energy demand management. Explore and evaluate opportunities within traded and flexibility markets, providing 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 ❯

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 ❯

days, as determined by the business needs of the team. Our Sales Operations organization is responsible for building the ultimate go-to-market engine to connect our solutions with customer needs at scale. This role is part of the LinkedIn Sales Solutions Global Accounts team, which means that you will work on a global team that serves LinkedIn’s … Operations Analyst, you will be partnering with senior sales executives to crack the most important strategic topics in the sales organization, driving revenue growth and improving sales productivity and customer value. The Analyst is also responsible for leading, executing and scaling operational and planning processes (e.g. building sales territories, setting sales targets/quotas) in partnership with cross-functional … of decision-making projects that will shape LinkedIn’s future go-to-market model. Act like an owner in driving strategic planning processes through data-driven recommendations (e.g. forecasting, customer segmentation, headcount, financial and territory planning, quota setting). Track business performance, own data analysis, and provide insights and recommendations to advise sales leadership on forecasting. Lead and 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 ❯

Data Team. In this role, you'll leverage data analytics to drive strategic decisions and shape the evolution of Amazon Pay. Working at the intersection of payments, analytics, and customer insights, you'll collaborate with cross-functional teams to develop data-driven solutions that enhance customer experience and business growth. Key job responsibilities •Design and execute exploratory data … analyses to identify customer trends and opportunities • Develop customer segmentation models to optimize marketing strategies and product roadmaps • Create and implement analytical frameworks to improve customer engagement across their lifecycle • Partner with business teams to translate data insights into actionable recommendations • Lead data-driven initiatives to accelerate Amazon Pay adoption across customer segments A day … in the life Your day typically involves mining complex datasets, collaborating with Machine Learning teams, and presenting insights to stakeholders. You'll analyze customer behavior patterns, identify growth opportunities, and work closely with cross-functional partners to implement data-driven strategies. You'll also mentor team members and contribute to the evolution of our analytical capabilities. About the team 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 ❯

time. We are looking for an Experienced CRM Data Scientist to join our team in London! 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. Collaborate with cross-functional teams to implement data-driven strategies. Define and track key performance indicators (KPIs). Utilize machine learning techniques to optimize … take ownership of analytics projects and be the engine driving them from ideation phase till bringing out the product to customers, and beyond. Experience with CRM data analysis and customer segmentation. Expertise in using data visualization tools such as Google Looker and working with Google's BigQuery. Familiarity with Bayesian statistics, especially for hypothesis testing. Extra points for good More ❯

agile and efficient future state as part of the IT business transformation plan.This role involves leading the development, implementation, and maintenance of dynamic pricing strategies driven by data analysis, customer behaviour, purchasing trends, and market competition. This includes ensuring consistency across pricing mechanisms and contributing to IT transformation projects that enhance pricing systems and automation capabilities. The role requires … proven ability to develop data-driven pricing models, proficiency in analytical tools like Excel, SQL, Python, PowerBI, and experience with ERP or pricing. Key skills include: Statistical modelling, forecasting, customer segmentation, and pricing strategy optimisation. Strong communication, collaboration, and problem-solving abilities are essential, along with sharp attention to detail and the capability to manage multiple priorities in 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 ❯

ABOUT THE INTERNATIONAL NEWS DIVISION BBC Studios' International News division produces world-leading content that shapes news delivery across platforms globally. With a focus on data-driven insights and customer engagement, the division is pivotal in defining the BBC's direct-to-consumer (D2C) strategy. THE ROLE BBC Studios now have an exciting vacancy for a Lead Data Analyst … within our award-winning International News division. This role is crucial for understanding customer behaviour and shaping the BBC's D2C strategy. The Lead Data Analyst will lead the development and implementation of a data and insights ecosystem, leveraging advanced analytics and proprietary tools to support all aspects of the acquisition and engagement funnel. The role also involves optimizing … performance of product and marketing initiatives, building models to identify trends and patterns in customer behaviour, and collaborating with experimentation and data science teams to enhance overall marketing and product effectiveness. Working within the Consumer Growth and Monetization team, the Lead Data Analyst will have a passion for data discovery, visualization, and a hunger to learn and work within More ❯

to gather requirements for data improvements, and deliver self-service reporting to reduce manual inputs and errors, and drive greater visibility of the data and trends. Main Responsibilities Set customer segmentation, analyze and report on customer behaviors and provide an understanding of customer acquisition, retention, and lifetime value to help form strategic sales, marketing, channel, and … plans. Build reporting and set relevant KPIs to the appropriate business areas for Commercial Finance. Work closely with Marketing and Digital Marketing to produce reporting to give visibility of customer trends across their lifecycle and across all customer touchpoints, to show positive and negative trends of acquisition and retention of customers, and to analyze marketing effectiveness. Own the … customer, using insights to form customer profiles to aid internal departments plan their strategy and activity. Gather retailer and customer insights to inform marketing promotional and strategic opportunities with retailers. Proactively have frequent contact with stakeholders to provide actionable insight around marketing channels, customer and business performance, and market trends along with response to ad hoc More ❯