22 of 22 Customer Segmentation Jobs in Central London

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 ❯

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 ❯

About The Role We at PEI Group are looking for a UX Researcher to join our welcoming, diverse, and growing team based here in London. PEI’s customer insights professionals play a critical role in transforming data into actionable insights that inform our business decisions and enhance our customer experience. You will work within a cross-functional team … to analyse customer data, develop insights, and provide recommendations that align with our strategic objectives. The ideal candidate will have a strong background in data analytics, customer behaviour analysis, customer enquiry and a passion for leveraging data to drive business growth. Key Responsibilities: Analyse customer data from various sources (e.g., GA, Heap.io, Delighted NPS, Dovetail, CRM … systems, surveys) to uncover trends, behaviours, and preferences. Develop and present actionable insights and recommendations to key stakeholders, including marketing, product development, and customer service teams. Collaborate with the UX, Product Design and Data Science teams to design and implement customer segmentation models and predictive analytics. Conduct market research and competitive analysis to benchmark our customer More ❯

business outcomes, revenue generation, and strategic decision-making. Provide strategic advisory services on data monetisation, analytics strategy, and competitive intelligence. Oversee the design and implementation of commercial analytics platforms, customer segmentation models, and revenue optimisation algorithms. Business Leadership & Team Development: Lead cross-functional teams combining data scientists, data engineers, and domain experts. Drive a culture of commercial awareness … understanding of data science methodologies, statistical analysis, machine learning algorithms, and analytics platforms (Python, SQL, vector stores and graphs, Power BI, Looker). Experience with commercial analytics tools and customer data platforms. ● Client Engagement: Proven experience engaging with senior executives, delivering data science strategies to business stakeholders, and managing commercial analytics projects. Strong presentation and communication skills for non More ❯

Fi coverage, we stand out from the crowd by offering intelligent but simple products that work perfectly first-time, without fuss or incomprehensible jargon, and for any help our customer service is the best in the industry” Our aim is to deliver simplified & customer delighting Wi-Fi products and a more digital customer & employee experience. This enabled … overseeing the strategy, governance, and execution of all data science and analytics initiatives. Reporting to the executive team, you will ensure data is leveraged to drive business growth, improve customer experience, and enable operational excellence across the organisation. Key Responsibilities Develop and execute a comprehensive data science and analytics strategy aligned with business goals. Build and lead a high … analysts, and data engineers, fostering a culture of innovation and continuous learning. Oversee the end-to-end delivery of advanced analytics, machine learning, and decision support systems to improve customer engagement, retention, and revenue generation. Establish robust data governance, quality, and compliance frameworks, ensuring the integrity and security of all data assets. Collaborate with C-suite and business leaders More ❯

Data Engineering. Responsibilities: Own and shape the data science function, setting standards for excellence in machine learning, optimisation, predictive analytics, and experimentation. Lead high-impact projects across areas like customer segmentation, CLV modelling, bidding optimisation, and advanced measurement techniques. Work closely with marketing specialists, analysts, and engineers to deliver end-to-end performance marketing solutions. Apply data science More ❯

eCommerce platform, mobile app, and 300+ retail stores, this is your chance to join an exciting team. As Principal Data Scientist, you’ll lead the data science function, supporting customer understanding, marketing effectiveness, and personalisation. From optimising campaign performance to driving loyalty and segmentation strategies, you’ll help put data at the heart of every customer interaction. … The Role: Lead, mentor, and grow a team of Data Scientists and Analysts focused on customer and marketing use cases. Build and deploy models that support personalisation, customer segmentation, lifetime value prediction, churn prevention, and marketing attribution. Partner closely with CRM, Digital Marketing, and eCommerce teams to deliver data-driven improvements across the customer journey. Leverage … advanced analytics to understand customer behaviour and optimise marketing spend and engagement. Ensure data quality and scalable infrastructure for marketing and customer data. Drive innovation by staying ahead of AI/ML trends in retail and customer analytics. Requirements: 5+ years' experience in Data Science, with a strong focus on customer or marketing analytics. Proven experience More ❯

eCommerce platform, mobile app, and 300+ retail stores, this is your chance to join an exciting team. As Principal Data Scientist, you’ll lead the data science function, supporting customer understanding, marketing effectiveness, and personalisation. From optimising campaign performance to driving loyalty and segmentation strategies, you’ll help put data at the heart of every customer interaction. … The Role: Lead, mentor, and grow a team of Data Scientists and Analysts focused on customer and marketing use cases. Build and deploy models that support personalisation, customer segmentation, lifetime value prediction, churn prevention, and marketing attribution. Partner closely with CRM, Digital Marketing, and eCommerce teams to deliver data-driven improvements across the customer journey. Leverage … advanced analytics to understand customer behaviour and optimise marketing spend and engagement. Ensure data quality and scalable infrastructure for marketing and customer data. Drive innovation by staying ahead of AI/ML trends in retail and customer analytics. Requirements: 5+ years' experience in Data Science, with a strong focus on customer or marketing analytics. Proven experience More ❯

and is looking for a Senior Data Scientist to help drive data-driven decision-making. This is a great opportunity to work on high-impact projects that directly influence customer engagement, marketing effectiveness, and business growth. The Role As a Senior Data Scientist, you will: Develop and deploy predictive models to enhance customer targeting and engagement. Work on … churn prediction to help improve customer retention strategies. Apply customer segmentation techniques to optimise marketing campaigns. Build marketing attribution models to measure and improve campaign performance. Collaborate with stakeholders across the business to translate insights into actionable strategies. Your Skills & Experience We’re looking for a Data Scientist with: Strong experience in predictive modeling, customer analytics More ❯

commerce, such as product feed management and bid optimization based on real-time data. Apply advanced data modelling techniques to identify key data aspects and categorise information effectively (e.g., customer names as strings, income/purchase as metrics, premium customer as a category). Collaborate with stakeholders to identify user pain points through quantitative and qualitative data, formulate … hypotheses, and recommend actions to improve customer experience and web performance. Create comprehensive reports on data availability and enhance the presentation of availability information to customers. Utilize machine learning libraries for attribution and propensity modelling. Mentor junior data engineers and contribute to the overall data strategy. Qualifications Extensive experience as a Data Engineer, with a strong background in data … Google Marketing Products integration, including Google Analytics, CM360, SA360, and DV360. Experience with attribution modelling and propensity modelling. Understanding of paid media campaign insights and optimization. Proven ability in customer segmentation, profiling and activation. Collaborate with marketing teams to design and implement targeted customer segmentation and activation strategies. Google Cloud Certified Professional Data Engineer certification is More ❯

maintain and optimise a modern data stack built on Google Cloud Platform (GCP), helping ensure data is accessible, high quality, and driving decisions across marketing, product, operations, finance and customer experience, among others. You’ll work closely with the growth and product teams, providing web analytics support using GA360/GA4 data in BigQuery, and enabling self-serve reporting … measurable value. The Analytics Engineer will be responsible for: Building and managing ELT pipelines and analytics infrastructure (BigQuery, dbt, Fivetran, Sigma, etc.) Supporting web analytics, conversion funnels, and traffic segmentation Collaborating with business stakeholders to model meaningful metrics and enable self-service reporting Working on internal AI initiatives like customer segmentation, recommendation systems, and self-healing data More ❯

Engineering : Developing and maintaining business-critical data ingestion, analysis, and management systems. Utilizing API and ETL methods to integrate with internal systems. Building tools to minimize errors and improve customer experience. Automating data development and governance to improve data health. Designing procedures for system troubleshooting, capacity management, and scaling infrastructure. Analytics : Developing scripts and data outputs to automate reporting … and visualizations. Ensuring timely and easily translatable data delivery for business stakeholders. Supporting customer segmentation and data clustering for insights into customer cohorts. Owning and ensuring the security, governance, and usability of visualization tools like PowerBI. Key skills for the Data Engineer include: Strong teamworking and communication abilities. Experience with scripting languages like SQL, Python, (SSIS/ More ❯

hands on role, with around 20% team leadership. What You’ll Do Oversee data science projects, guide junior team members, and drive innovation. Build predictive models for campaign optimisation, customer segmentation, and price elasticity. Design and implement AI-powered solutions to solve complex marketing challenges. Use machine learning and statistical techniques to analyse trends and improve business outcomes. … technical stakeholders. What We’re Looking For A strong academic background in Computer Science, Mathematics, Physics, or a related field. Proven experience in machine learning applications such as recommendations, segmentation, forecasting, and marketing spend optimisation. Proficiency in Python, SQL, and Git, with hands-on experience in tools like Jupyter notebooks, Pandas, and PyTorch. Expertise in cloud platforms (AWS, Databricks More ❯

hands on role, with around 20% team leadership. What You’ll Do Oversee data science projects, guide junior team members, and drive innovation. Build predictive models for campaign optimisation, customer segmentation, and price elasticity. Design and implement AI-powered solutions to solve complex marketing challenges. Use machine learning and statistical techniques to analyse trends and improve business outcomes. … technical stakeholders. What We’re Looking For A strong academic background in Computer Science, Mathematics, Physics, or a related field. Proven experience in machine learning applications such as recommendations, segmentation, forecasting, and marketing spend optimisation. Proficiency in Python, SQL, and Git, with hands-on experience in tools like Jupyter notebooks, Pandas, and PyTorch. Expertise in cloud platforms (AWS, Databricks More ❯

rare opportunity to build something from the ground up while working with both local stakeholders and global tech teams. This job in other businesses may be called Product Analyst, Customer Analyst, Business Intelligence, Editorial Analyst etc We're looking for a technically strong and commercially aware Senior Product Analyst to help unlock growth and insights for a leading mobile … engineering teams. Define and track user engagement and performance metrics. Create, audit, and optimise dashboards and reporting tools. Translate business needs into clear technical requirements. Looking ahead it's customer segmentation, proidling and personalisation projects Help shape the data roadmap from early foundations to advanced maturity. What you'll bring: Strong SQL and data pipeline understanding (you will More ❯

of Ecommerce & Digital Position Overview : We are seeking a highly motivated and experienced CRM/Email and Loyalty Lead to join our dynamic marketing team. This role involves managing customer relationship management (CRM) strategies, email marketing campaigns, and loyalty programs to enhance customer engagement, retention, and overall brand experience. The ideal candidate will be results-driven, with a … strong understanding of CRM tools, data analysis, and customer-centric marketing. Key Responsibilities : CRM Management : Develop and execute CRM strategies to enhance customer engagement, increase retention, and drive long-term loyalty. Segment and target customer groups based on behaviour, preferences, and demographics. Manage and optimize CRM software and platforms to ensure seamless integration with marketing activities. Monitor … nurture leads. Track performance metrics, analyse results, and optimize future campaigns based on data-driven insights. Loyalty Programs : Plan, implement, and oversee the company’s loyalty programs to increase customer retention and drive repeat business. Monitor and assess the success of loyalty initiatives, making recommendations for improvement. Coordinate with cross-functional teams to ensure loyalty initiatives align with overall More ❯

prestigious account (details to follow). You’ll be joining a tight-knit team of 3 in a hands-on, client-facing role where you’ll own and evolve customer data strategies, segmentations, and analytics implementation – helping brands drive engagement and measurable growth. This is ideal for someone with a strong grasp of customer data platforms (CDPs), CRM … GA4, or Salesforce, who enjoys turning complexity into clarity for clients. Key Responsibilities Lead the development and implementation of a unified data strategy for a major retail client Own customer segmentation, analytics frameworks, and measurement methodologies Partner with stakeholders to define and activate audience strategies across brands Leverage platforms such as GA4, Adobe Analytics, CDPs, and CRM tools … to inform and optimise marketing performance Design data activation roadmaps, campaign playbooks, and customer journey maps Act as a trusted consultant, collaborating cross-functionally with media, marketing, analytics, and tech teams Contribute to the broader consultancy division and engage in innovation and thought leadership Support business development and pitch processes as needed About You Proven background in data strategy More ❯

wider organization's agenda to create value for customers, colleagues, the community, and the company. YOUR SKILLS AND EXPERIENCE Providing expertise in one of the following analytical areas; Targeting, Customer Segmentation, Pricing, Remediation & Securitisation Expert user of programming in at least one computer language e.g., SAS, R, Python. Experience at a large Consulting firm (preferably Analytics consulting). More ❯

wider organization's agenda to create value for customers, colleagues, the community, and the company. YOUR SKILLS AND EXPERIENCE Providing expertise in one of the following analytical areas; Targeting, Customer Segmentation, Pricing, Remediation & Securitisation Expert user of programming in at least one computer language e.g., SAS, R, Python. Experience at a large Consulting firm (preferably Analytics consulting). More ❯

service. The Role: Reporting to the CRM Manager you will be responsible for creating, managing and optimising the CRM strategy. This is a great opportunity for someone to prioritize customer focus and proactively look for ways to improve the user experience. Aim to ensure that CRM strategies are in line with the company's objectives, while working closely with … poker and/or sport product as well as the execution of CRM campaigns. You are a long-term planner that stands out for the study of the different customer segments, life cycle and user experience, to optimize the user experience to achieve a longer life cycle and increase ROI. Improving the customer experience is key, this is … possible by monitoring segmented and targeted CRM campaigns, measuring ROI, prioritizing resources, optimizing costs, and enabling continuous improvement in customer conversion, retention, and reactivation. This is only possible when we work together as a team, and you will be in touch with most departments, from development, design, customer support, BI, and more. Data will be your right hand More ❯

service. The Role: Reporting to the CRM Manager you will be responsible for creating, managing and optimising the CRM strategy. This is a great opportunity for someone to prioritize customer focus and proactively look for ways to improve the user experience. Aim to ensure that CRM strategies are in line with the company's objectives, while working closely with … poker and/or sport product as well as the execution of CRM campaigns. You are a long-term planner that stands out for the study of the different customer segments, life cycle and user experience, to optimize the user experience to achieve a longer life cycle and increase ROI. Improving the customer experience is key, this is … possible by monitoring segmented and targeted CRM campaigns, measuring ROI, prioritizing resources, optimizing costs, and enabling continuous improvement in customer conversion, retention, and reactivation. This is only possible when we work together as a team, and you will be in touch with most departments, from development, design, customer support, BI, and more. Data will be your right hand More ❯

service. The Role: Reporting to the CRM Manager you will be responsible for creating, managing and optimising the CRM strategy. This is a great opportunity for someone to prioritize customer focus and proactively look for ways to improve the user experience. Aim to ensure that CRM strategies are in line with the company's objectives, while working closely with … poker and/or sport product as well as the execution of CRM campaigns. You are a long-term planner that stands out for the study of the different customer segments, life cycle and user experience, to optimize the user experience to achieve a longer life cycle and increase ROI. Improving the customer experience is key, this is … possible by monitoring segmented and targeted CRM campaigns, measuring ROI, prioritizing resources, optimizing costs, and enabling continuous improvement in customer conversion, retention, and reactivation. This is only possible when we work together as a team, and you will be in touch with most departments, from development, design, customer support, BI, and more. Data will be your right hand More ❯