26 to 50 of 54 Customer Segmentation Jobs in London

Benefits About the Role We are seeking a visionary and results-driven Head of AI Marketing to lead the integration of artificial intelligence across our marketing strategy, operations, and customer engagement initiatives. This is a high-impact leadership role responsible for transforming how we use data, automation, and generative AI to drive growth, personalization, and efficiency. Based in East … and execute AI-powered marketing programs that deliver measurable business outcomes. Key Responsibilities Strategic Leadership Define and lead the company’s AI marketing strategy, aligning with business goals and customer needs. Champion the adoption of AI tools and platforms across the marketing function. Identify emerging AI trends and technologies to keep the business at the forefront of innovation. AI … Driven Campaigns & Automation Oversee the development of AI-powered campaigns, including predictive targeting, dynamic content, and automated workflows. Implement machine learning models for customer segmentation, lead scoring, and churn prediction. Drive personalization at scale using generative AI for content, email, and digital experiences. Team & Collaboration Build and manage a high-performing AI marketing team, including specialists in automation More ❯

of the City as a Jnr Data Scientist. You will be part of a global analytics team using a number of big data technologies to produce complex behavioural models, customer uptake product analysis and new product innovation. Provide data driven analysis via statistical, quantitative, machine learning, programmatic and heuristic methods. Relate statistical and other analytical results to real world … Useful skills to possess: Commercial data science experience Machine learning SQL Msc or PhD preferred in either of the following areas, statistics, physics, mathematics, Computer Science or Engineering Creating customer segmentation models knowledge of SAS Data Mining R/Python Proficient user MS Office This is a superb career opportunity in the Data Science space .This Company invest 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 ❯

skills with ability to balance competing priorities. - Core Program and Project Management skills (regular updates, Program flashes, data audits, review meetings, process audits). - Demonstrated experience in leading analysis, customer segmentation, and/or product behavior analysis. - Pricing Experience - An inherent learn and be curious nature, willing to jump into unexplored topics. Amazon is an equal opportunities employer. More ❯

Digital Lifecycle (Growth) to own and optimize the entire user lifecycle - from acquisition and activation through monetization, engagement, and retention. You'll lead a lifecycle growth strategy across multiple customer journeys (self-serve, prosumer, and enterprise), with full ownership of funnel performance, experimentation, and cross-functional execution. This role requires a deeply analytical, product-minded growth leader who can … Your responsibilities Own and execute DeepL's end-to-end digital lifecycle strategy across self-serve and enterprise segments Drive activation, onboarding, engagement, monetization, and retention across the full customer journey Build and optimize funnel conversion from sign-up to paid, upsell, and expansion; own lifecycle KPIs Design and implement high-impact lifecycle experiments to accelerate user and revenue … growth Partner with Product and Engineering to launch product-led onboarding, nudges, and in-product growth loops Use data and segmentation to deliver personalized, regionally relevant journeys at scale Lead monetization and expansion initiatives that increase ARR and customer lifetime value Own lifecycle tooling and experimentation stack (e.g., Braze, Segment, Mixpanel, etc) Work cross-functionally with Product, Marketing More ❯

ll remember. What You will do: Lead the development of Data Science within Product, producing statistical models that directly impact the insights and recommendations that drive the product and customer experience. Use your knowledge and experience to help scale the impact of the Product Analytics team through data science. Creating automation, self service model capability, improve experimentation velocity, and … to identify opportunity areas, explore through POC to then drive to adoption. Partner with Product Managers, Designers, and Engineers to identify high-impact opportunities where data science can solve customer problems and improve the product. Champion experimentation by designing and analyzing complex AB tests, causal inference models, and uplift modeling to inform product decisions. Guide and mentor other product … qualitative methods (e.g., surveys, user research). Demonstrated experience with applied AI, such as NLP, Large Language Models (LLMs), or Agentic AI for analytics. Deep experience in developing sophisticated customer segmentation models including predictive LTV modeling. Experience working within a two-sided marketplace, e-commerce, or the travel technology industry. Perks of Working at Viator Competitive compensation packages 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 ❯

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 ❯

Week in Office) £85,000-£95,000 + Stock Options THE COMPANY Great opportunity to join a high-growth subscription business as they scale new propositions and expand their customer base; you’ll take ownership of analytics across web and app platforms, helping to shape strategy for new customer-facing experiences, including prize draws and innovative features THE … sit at the heart of product development, focused on launching and optimising new propositions. In this role you will: Lead analytical deep-dives across product performance, user journeys, and customer behaviour Design and analyse A/B tests to validate new product ideas and optimise user experience Collaborate cross-functionally with product managers, strategy, engineering and marketing Inform decision … making for new features, draw mechanics, and growth initiatives Build and maintain dashboards and self-serve tools for stakeholders Support customer segmentation, LTV modelling, and churn analysis YOUR SKILLS AND EXPERIENCE Strong SQL AB Testing Experience Python – preferred but not essential Strong commercial acumen – be able to demonstrate an ability to think beyond the numbers and influence business More ❯

Week in Office) £85,000-£95,000 + Stock Options THE COMPANY Great opportunity to join a high-growth subscription business as they scale new propositions and expand their customer base; you’ll take ownership of analytics across web and app platforms, helping to shape strategy for new customer-facing experiences, including prize draws and innovative features THE … sit at the heart of product development, focused on launching and optimising new propositions. In this role you will: Lead analytical deep-dives across product performance, user journeys, and customer behaviour Design and analyse A/B tests to validate new product ideas and optimise user experience Collaborate cross-functionally with product managers, strategy, engineering and marketing Inform decision … making for new features, draw mechanics, and growth initiatives Build and maintain dashboards and self-serve tools for stakeholders Support customer segmentation, LTV modelling, and churn analysis YOUR SKILLS AND EXPERIENCE Strong SQL AB Testing Experience Python – preferred but not essential Strong commercial acumen – be able to demonstrate an ability to think beyond the numbers and influence business More ❯

Senior Data Scientist - Forecasting, Propensity and Segmentation London – Hybrid Up to £80,000 + Benefits About the Role Join a fast-scaling AI-first SaaS company that’s helping major consumer brands turn first-party data into real commercial value. As a Senior Data Scientist, you’ll own the end-to-end delivery of machine learning models that drive … revenue growth, improve customer retention, and optimise decision-making. You’ll work on high-impact challenges like forecasting, churn prediction, customer segmentation, and commercial uplift—delivering solutions that are accurate, explainable, and production-ready. Key Responsibilities Build machine learning models for forecasting, propensity scoring, and segmentation Own workflows from data wrangling and feature engineering through to … the growth of the team We’re looking for someone with: 3–5 years’ experience in a Data Science, AI, or ML-related role Experience with forecasting, propensity and segmentation Strong Python skills and experience with libraries like scikit-learn, pandas, and Prophet Hands-on experience developing and deploying ML models in production A track record of working across More ❯

in using data to drive business decisions, working closely with product managers, engineers, and senior stakeholders (including the CFO ). You'll be uncovering insights that fuel product development, customer growth, and commercial strategy. What you'll do: Lead analytical deep-dives to identify trends, opportunities, and areas for optimisation Deliver clear, actionable insights that influence high-level business … decisions Projects may include customer segmentation, cohort analysis, CLV modelling, pricing strategy, and product funnel performance Present findings to senior stakeholders and help define next steps Improve profitability and efficiency across user journeys - both customer and partner side Tools & Environment: SQL , Redshift , Looker Collaborative product-focused teams, embedded in a modern data stack What we're looking More ❯

fully integrated function within the business. We have built an inclusive and diverse team that operates across 4 layers of the Business: Back End Systems and Engineering; Platforms; Marketing; Customer Service. Our in-house team of over 100 Digital experts are augmented with expertise from partners across the globe to deliver the very best in Retail Technology with a … heart of our Global Growth Strategy. Digital Marketing Team We're a best-in-class marketing function with a strong track record of delivering incremental and profitable growth in customer acquisition and lifetime value. Through a combination of the latest technology, carefully curated external partnerships, and highly skilled internal talent, we continually focus on providing clear and measurable success … AI. In an ever-changing digital landscape, we're perfectly positioned to capitalise on all the new and exciting opportunities on the horizon. The Role We are seeking a customer-centric CRM Coordinator to join our dynamic team. Working together with the Paid Marketing Team, our key focus is to increase frequency and lifetime value by leveraging customer More ❯

first-party data into real commercial value. As a Senior Data Scientist, you’ll own the end-to-end delivery of machine learning models that drive revenue growth, improve customer retention, and optimise decision-making. You’ll work on high-impact challenges like forecasting, churn prediction, customer segmentation, and commercial uplift—delivering solutions that are accurate, explainable … and production-ready. Key Responsibilities Build machine learning models for forecasting, propensity scoring, and segmentation Own workflows from data wrangling and feature engineering through to deployment and monitoring Operationalise models using MLOps tools in a cloud-native environment Architect datasets by merging structured and semi-structured data Work closely with engineers, product managers, and clients to align models with … the growth of the team We’re looking for someone with: 3–5 years’ experience in a Data Science, AI, or ML-related role Experience with forecasting, propensity and segmentation Strong Python skills and experience with libraries like scikit-learn, pandas, and Prophet Hands-on experience developing and deploying ML models in production A track record of working across More ❯

CAC, LTV, churn, conversion rates, attribution). Design and execute A/B tests and incrementality studies to assess marketing initiatives' impact. Develop statistical models and predictive analytics (e.g., customer segmentation, propensity modelling) to guide marketing strategy. Collaborate with Marketing and Finance teams to forecast marketing performance and support budget allocation decisions. Present actionable insights and recommendations to More ❯

CAC, LTV, churn, conversion rates, attribution). Design and execute A/B tests and incrementality studies to assess marketing initiatives' impact. Develop statistical models and predictive analytics (e.g., customer segmentation, propensity modelling) to guide marketing strategy. Collaborate with Marketing and Finance teams to forecast marketing performance and support budget allocation decisions. Present actionable insights and recommendations to More ❯

merging, and profiling for modeling Knowledge of statistical analyses, modeling, and ability to explain analytic processes and rationale for chosen approaches Familiarity with supervised and unsupervised learning algorithms for customer segmentation, behavior prediction, response modeling, recommendations, and optimization Programming experience with Python and/or R Teamwork and project management skills: collaborative, fair share of work, creative ideas More ❯

the team's regular business cadence.- Analyse market trends, historical sales and pipeline data to deliver actionable insights in support for strategy, planning and sales operations. This includes creating customer segmentation models, sales coverage/territory designs and programs to enable decision support.- Lead project management and initiative tracking for growth, championing regional best practices and creating a More ❯

largely hands-on role, with around 20% team leadership. What Youll 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. … non-technical stakeholders. What Were 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 ❯

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 ❯

Support the commercial team with performance dashboards, pipeline analysis, and revenue forecasting. Collaborate to improve forecasting accuracy and budgeting processes related to revenue. Business Partnering Partner with Sales and Customer Success to assess pricing models, discount strategies, and deal profitability. Provide insights into customer segmentation, product adoption, upsell opportunities, and expansion behaviour. Monitor commercial KPIs and deliver … the financial impact of new initiatives, product launches, or market expansions. Conduct competitive and market analysis to inform pricing, packaging, and GTM strategies. Identify growth levers through data analysis, customer insights, and predictive modelling. Who You Are: 3+ years of experience in a Commercial Analyst, Business Analyst, or FP&A role-preferably in a SaaS environment. Strong understanding of More ❯

Support the commercial team with performance dashboards, pipeline analysis, and revenue forecasting Collaborate to improve forecasting accuracy and budgeting processes related to revenue Business Partnering: Partner with Sales and Customer Success to assess pricing models, discount strategies, and deal profitability Provide insights into customer segmentation, product adoption, upsell opportunities, and expansion behaviour Monitor commercial KPIs and deliver … the financial impact of new initiatives, product launches, or market expansions Conduct competitive and market analysis to inform pricing, packaging, and GTM strategies Identify growth levers through data analysis, customer insights, and predictive modelling Who You Are: 3+ years of experience in a Commercial Analyst, Business Analyst, or FP&A role-preferably in a SaaS environment Strong understanding of More ❯

OC&C is regularly tasked with problems where the answers are hidden in large, messy and complex data sets such as transaction data, customer-behaviour data and web data. Our Analytics practice works in teams alongside our strategy colleagues to unearth insights, identify recommendations and communicate them persuasively to our clients. The VP role centres on project delivery with … in translating key client issues into clear deliverables Experience in programming with Python and creating PoC solutions Experience of applying supervised and unsupervised learning algorithms to problems related to customer segmentation, behaviour prediction, response modelling, and/or similar Effective written & verbal communication skills and the ability to adapt style for different internal and external audiences About The More ❯

Client Sales Director - Data Platform About the Opportunity: We are working exclusively with a confidential, world-class client - a groundbreaking Customer Data Platform (CDP) that is transforming how brands understand and communicate with their customers in a privacy-first world. This is a rare chance to join a fast-growing, award-winning company at the forefront of data-driven … solutions to C-level and senior marketing, data and digital stakeholders. Develop and execute a strategic sales plan to achieve and exceed targets. Work closely with Product, Marketing and Customer Success teams to deliver outstanding client solutions. Be a trusted advisor to prospective clients, articulating how the platform solves their data and audience challenges. Keep abreast of the latest … selling a CDP or related data platform. Proven track record of winning and growing big-ticket, complex deals with major brands. Deep understanding of data privacy, first-party data, customer segmentation and digital marketing ecosystems. Ability to work consultatively with senior stakeholders and translate technical value into commercial impact. Highly motivated self-starter with an entrepreneurial spirit. Strong More ❯