1 to 25 of 82 Remote Customer Segmentation Jobs

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

to move faster, ship better products for our customers, and grow our user base. We believe in high autonomy and seek individuals who want to innovate to create better customer experiences. We work in cross-functional teams focused on increasing active clients for sustainable growth. Your role in the team's success In this role, you will analyze product … roadmap through data-driven recommendations, identifying friction points and high-impact improvements. Collaborate with Data Analytics Engineers and Software Engineers to collect and model relevant conversion data throughout the customer lifecycle. Promote a data-driven culture by sharing insights and building stakeholder relationships. Design experiments and analysis frameworks to measure the ROI of conversion initiatives. Apply analytics best practices … advanced analysis and modeling. Understanding of user research to complement quantitative insights. Curious, collaborative team player capable of prioritizing in a fast-paced environment. Nice to have: Familiarity with customer segmentation, predictive modeling, and machine learning techniques. Experience supporting data-driven product roadmaps and experimentation programs. Keen interest in trading and investing. Basic knowledge of HTML, CSS, JavaScript. More ❯

you have more than 3 years of experience. Some of your responsibilities: Create marketing attribution models (in dbt) and reports (in ThoughtSpot) with a special focus on LTV and customer retention Setting up website analytics reporting using sources such as GA and Tag Manager Ad hoc analysis including product performance, customer segmentation, LTV modelling, A/B 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 ❯

through data-driven recommendations, identifying friction points and high-impact improvement areas Partner with Data Analytics Engineers and Software Engineers to collect and model relevant conversion data throughout the customer lifecycle Champion data-driven culture by sharing insights and building strong stakeholder relationships Design experiments and analysis frameworks to quantify ROI of conversion initiatives Lead by example in applying … for advanced analysis and modeling User research understanding to complement quantitative insights Curious, collaborative team player able to prioritise in a fast-paced environment Nice to have: Familiarity with customer segmentation, predictive modeling, and machine learning techniques. Prior experience supporting data-driven product roadmaps and experimentation programmes A keen interest in trading and/or investing Basic knowledge More ❯

subscription business model is a plus What you'll be doing Research and Methodology Lead high-level research projects that have company-wide impacts, such as growth modelling and customer segmentation studies. Develop and improve common methodologies to ensure the centralisation of approaches and alignment with current industry trends. Oversee and enhance the company's approach to A More ❯

from the ground up. We’re looking for a thoughtful problem-solver who can turn insights into action, collaborate well across teams, and help us create smarter, more personalized customer experiences. We’re looking for someone who: Is friendly and genuinely cares about the happiness of others Takes accountability for their actions and takes pride in their work Has … making great guest experiences Sound like you? Check out the responsibilities and requirements below and then fill out an application! Position Summary: The Manager of CRM Analytics will lead customer analytics and lifecycle measurement across our marketing and loyalty programs. This highly visible role will own our approach to customer segmentation, campaign measurement, and personalization strategy—bringing … structure, insights, and innovation to our CRM and CDP initiatives. Reporting to the Director of Marketing Analytics, they will partner closely with Marketing, Loyalty, and Product to drive customer growth, retention, and engagement through intelligent data use. Duties and Responsibilities: Build and maintain models for customer lifetime value (CLV), churn prediction, RFM scoring, and segmentation using Python More ❯

from the ground up. We're looking for a thoughtful problem-solver who can turn insights into action, collaborate well across teams, and help us create smarter, more personalized customer experiences. We're looking for someone who: Is friendly and genuinely cares about the happiness of others Takes accountability for their actions and takes pride in their work Has … making great guest experiences Sound like you? Check out the responsibilities and requirements below and then fill out an application! Position Summary: The Manager of CRM Analytics will lead customer analytics and lifecycle measurement across our marketing and loyalty programs. This highly visible role will own our approach to customer segmentation, campaign measurement, and personalization strategy-bringing … structure, insights, and innovation to our CRM and CDP initiatives. Reporting to the Director of Marketing Analytics, they will partner closely with Marketing, Loyalty, and Product to drive customer growth, retention, and engagement through intelligent data use. Duties and Responsibilities: Build and maintain models for customer lifetime value (CLV), churn prediction, RFM scoring, and segmentation using Python More ❯