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 customersegmentation models, and leverage predictive analytics to enhance business decision-making and identifying key insights to help identify audience opportunities for prospecting. Main Responsibilitie sLead data analysis initiative … subscriber lifecycle, from acquisition to retention and lifetime value .Define and maintain report s to track KPIs, providing actionable insights to stakeholders across the business .Develop, improve, and maintain customersegmentation model s to provide deep insights into the subscription base and inform Product/Marketing strategies .Utilise predictive analytics and retention modellin g to forecast churn risk … and customer behaviour, leveraging data science techniques .Collaborate with cross-functional team s, including marketing, finance, product and editorial, to ensure data-driven decision-making aligns with business objectives .Deliver actionable recommendation s to optimise marketing spend, customer acquisition, product initiatives and retention strategies .Responsible for innovating in how we leverage A I to access and give insights 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 customersegmentation models, and leverage predictive analytics to enhance business decision-making and identifying key insights to help identify audience opportunities for prospecting. Main Responsibilitie sLead data analysis initiative … subscriber lifecycle, from acquisition to retention and lifetime value .Define and maintain report s to track KPIs, providing actionable insights to stakeholders across the business .Develop, improve, and maintain customersegmentation model s to provide deep insights into the subscription base and inform Product/Marketing strategies .Utilise predictive analytics and retention modellin g to forecast churn risk … and customer behaviour, leveraging data science techniques .Collaborate with cross-functional team s, including marketing, finance, product and editorial, to ensure data-driven decision-making aligns with business objectives .Deliver actionable recommendation s to optimise marketing spend, customer acquisition, product initiatives and retention strategies .Responsible for innovating in how we leverage A I to access and give insights More ❯
A global lifestyle brand is hiring a Data Scientist to join the team. You will report to the Director of Global Customer Data Science and work on developing predictive models and customersegmentation strategies to enhance personalised experiences and improve CRM effectiveness. Responsibilities Develop and implement predictive models to understand customer behaviour Create customersegmentation … into actionable insights Create data visualisations to communicate patterns Partner with cross-functional teams to enhance CRM strategies Provide data-driven recommendations to improve engagement metrics Requirements Experience in Customer Marketing Data Science, including applied statistics and machine learning Proficiency in Python and ML libraries (e.g. pandas, numpy, scikit-learn, tensorflow, pytorch) Familiarity with cloud platforms (GCP, AWS, Azure More ❯
City of London, London, United Kingdom Hybrid/Remote Options
Freshminds
A global lifestyle brand is hiring a Data Scientist to join the team. You will report to the Director of Global Customer Data Science and work on developing predictive models and customersegmentation strategies to enhance personalised experiences and improve CRM effectiveness. Responsibilities Develop and implement predictive models to understand customer behaviour Create customersegmentation … into actionable insights Create data visualisations to communicate patterns Partner with cross-functional teams to enhance CRM strategies Provide data-driven recommendations to improve engagement metrics Requirements Experience in Customer Marketing Data Science, including applied statistics and machine learning Proficiency in Python and ML libraries (e.g. pandas, numpy, scikit-learn, tensorflow, pytorch) Familiarity with cloud platforms (GCP, AWS, Azure More ❯
SENIOR CUSTOMER ANALYST SALARY UP TO £70,000 LONDON We’re looking for a Senior Customer Analyst to work with a global business within the food ordering marketplace to focus on understanding, optimising, growing and extracting value out of their customer base. THE ROLE AND RESPONSIBILITIES: You’ll work on maximising the current value of the customer base particularly around loyalty, retention, and acquisition. Day to day you’ll: Customer Base Management : Evaluate the effectiveness of customersegmentation models and base management strategies to enhance retention, re-engage inactive users, and support end-to-end lifecycle marketing efforts. Insight Generation : Deliver actionable insights on customer behaviour, preferences, and churn indicators to inform … CRM and marketing strategies. Performance Tracking : Develop and maintain dashboards and reports to track key customer metrics, including retention, lifetime value (LTV), churn, and engagement. Cross-Functional Collaboration : Work closely with both local and global stakeholders across CRM, Marketing, and Product teams to ensure data-driven insights are integrated into strategic decisions. Data Storytelling : Leverage visualization tools such as More ❯
SENIOR CUSTOMER ANALYST SALARY UP TO £70,000 LONDON We’re looking for a Senior Customer Analyst to work with a global business within the food ordering marketplace to focus on understanding, optimising, growing and extracting value out of their customer base. THE ROLE AND RESPONSIBILITIES: You’ll work on maximising the current value of the customer base particularly around loyalty, retention, and acquisition. Day to day you’ll: Customer Base Management : Evaluate the effectiveness of customersegmentation models and base management strategies to enhance retention, re-engage inactive users, and support end-to-end lifecycle marketing efforts. Insight Generation : Deliver actionable insights on customer behaviour, preferences, and churn indicators to inform … CRM and marketing strategies. Performance Tracking : Develop and maintain dashboards and reports to track key customer metrics, including retention, lifetime value (LTV), churn, and engagement. Cross-Functional Collaboration : Work closely with both local and global stakeholders across CRM, Marketing, and Product teams to ensure data-driven insights are integrated into strategic decisions. Data Storytelling : Leverage visualization tools such as More ❯
London, Manchester or other UK locations Practice: Data & AI Accenture Song accelerates growth and value for our clients through sustained customer relevance. Our capabilities span ideation to execution: growth, product and experience design; technology and experience platforms; creative, media and marketing strategy; and campaign, content and channel orchestration. With strong client relationships and deep industry expertise, we help our … our global team, you'll be working with cutting-edge technologies and will have the opportunity to develop a wide range of new skills on the job. As a Customer Data Platform Consultant, you will: Have an extensive background in customer data platforms for large organizations and will be comfortable integrating multiple complex data sets, so clients better … understand their customers and how to activate them for marketing use cases. During client projects you will be hands on in delivering a customer-centric vision, often providing pivotal guidance for data driven decision-making, data integration and enhancing customer experience strategies for our clients. Responsibilities: Deliver implementation and ongoing management of the customer data platforms from More ❯
London, Manchester or other UK locations Practice: Data & AI Accenture Song accelerates growth and value for our clients through sustained customer relevance. Our capabilities span ideation to execution: growth, product and experience design; technology and experience platforms; creative, media and marketing strategy; and campaign, content and channel orchestration. With strong client relationships and deep industry expertise, we help our … our global team, you'll be working with cutting-edge technologies and will have the opportunity to develop a wide range of new skills on the job. As a Customer Data Platform Consultant, you will: Have an extensive background in customer data platforms for large organizations and will be comfortable integrating multiple complex data sets, so clients better … understand their customers and how to activate them for marketing use cases. During client projects you will be hands on in delivering a customer-centric vision, often providing pivotal guidance for data driven decision-making, data integration and enhancing customer experience strategies for our clients. Key responsibilities: Deliver implementation and ongoing management of the customer data platforms More ❯
Would you like to join a pioneering food delivery firm, where sustainability, ethical practices, and positive business impact are a key business strategy? We are looking for a skilled Customer Insight Analyst to be an integral part of our client’s marketing team. This role is ideal for you if you: Have a keen interest in data analytics within … food delivery and sustainability sector. Are looking to leverage your analytical skills in a dynamic and values-driven environment? Want to play a crucial role in understanding and enhancing customer lifetime value. Essential Skills for the Perfect Candidate: Strong proficiency in Excel, SQL, and Google Analytics. Experience in analysing Customer Lifetime Value in a Direct-to-Consumer business. … Exceptional skills in presenting complex data and building relationships across departments. In this Role, You Will: Analyse and report on customer lifetime value and cost of customer acquisition. Develop AB testing plans for advertising campaigns that contribute to customer growth and retention. Use customer satisfaction metrics to inform strategies and decisions. Participate in creating and reporting More ❯
Would you like to join a pioneering food delivery firm, where sustainability, ethical practices, and positive business impact are a key business strategy? We are looking for a skilled Customer Insight Analyst to be an integral part of our client’s marketing team. This role is ideal for you if you: Have a keen interest in data analytics within … food delivery and sustainability sector. Are looking to leverage your analytical skills in a dynamic and values-driven environment? Want to play a crucial role in understanding and enhancing customer lifetime value. Essential Skills for the Perfect Candidate: Strong proficiency in Excel, SQL, and Google Analytics. Experience in analysing Customer Lifetime Value in a Direct-to-Consumer business. … Exceptional skills in presenting complex data and building relationships across departments. In this Role, You Will: Analyse and report on customer lifetime value and cost of customer acquisition. Develop AB testing plans for advertising campaigns that contribute to customer growth and retention. Use customer satisfaction metrics to inform strategies and decisions. Participate in creating and reporting More ❯
West London | Onsite | Salary Competitive | 1 Year FTC Visa Sponsorship not available. IMMEDIATE START Omnis Partners is assisting a leading international organisation in hiring an Interim Customer Analyst. This role offers a hands-on opportunity for a data-driven professional to influence customer strategy and drive pricing initiatives across several European markets. What you will do: • Develop and … optimise dynamic ticket pricing models across European markets. • Analyse pricing performance, competitor trends, and customer data to inform strategy. • Manage pricing data and governance within the ERP system. • Build customersegmentation and predictive models to drive personalisation. • Design and assess A/B tests and other experiments to evaluate commercial impact. • Provide actionable insights and dashboards for … retail, leisure, or multi-market environments. • Strong Skills in SQL, Python, and data visualisation tools (Power BI preferred). • Experience in building models to deliver actionable insights. • Experienced with customer/CRM analytics and predictive customer segmentations. • Degree in a quantitative field (Statistics, Maths, Economics, Physics) is advantageous. Personal Attributes: • Results-driven, pragmatic, and focused on continuous improvement. More ❯
West London | Onsite | Salary Competitive | 1 Year FTC Visa Sponsorship not available. IMMEDIATE START Omnis Partners is assisting a leading international organisation in hiring an Interim Customer Analyst. This role offers a hands-on opportunity for a data-driven professional to influence customer strategy and drive pricing initiatives across several European markets. What you will do: • Develop and … optimise dynamic ticket pricing models across European markets. • Analyse pricing performance, competitor trends, and customer data to inform strategy. • Manage pricing data and governance within the ERP system. • Build customersegmentation and predictive models to drive personalisation. • Design and assess A/B tests and other experiments to evaluate commercial impact. • Provide actionable insights and dashboards for … retail, leisure, or multi-market environments. • Strong Skills in SQL, Python, and data visualisation tools (Power BI preferred). • Experience in building models to deliver actionable insights. • Experienced with customer/CRM analytics and predictive customer segmentations. • Degree in a quantitative field (Statistics, Maths, Economics, Physics) is advantageous. Personal Attributes: • Results-driven, pragmatic, and focused on continuous improvement. More ❯
SENIOR CUSTOMER ANALYST LONDON – HYBRID - 2 DAYS A WEEK IN OFFICE SALARY – £70,000 + BONUS THE COMPANY A leading delivery marketplace connecting millions of customers with thousands of restaurant partners! THE ROLE As a Senior Customer Analyst, you will play a pivotal role in driving customer strategy and lifecycle optimisation across acquisition, retention, and loyalty. You … ll use advanced analytics and data storytelling to influence commercial and marketing decisions that shape customer growth. Key Responsibilities: Analyse and optimise customer behaviour across the lifecycle - acquisition, retention, churn. Deliver actionable insights that influence marketing and growth strategy. Run A/B and multivariate tests to evaluate campaign performance. Use SQL and Tableau/Looker to build … by identifying opportunities to move customers through key stages. Collaborate cross-functionally with analytics, marketing, and commercial teams. YOUR SKILLS AND EXPERIENCE Advanced SQL skills essential Strong background in customer, lifecycle, or marketing analytics. Experience owning analytical projects, e.g. customersegmentation, LTV modelling, churn reduction. Strong data storytelling skills - able to translate insights into commercial impact. Ideally More ❯
City of London, London, United Kingdom Hybrid/Remote Options
Harnham
SENIOR CUSTOMER ANALYST LONDON – HYBRID - 2 DAYS A WEEK IN OFFICE SALARY – £70,000 + BONUS THE COMPANY A leading delivery marketplace connecting millions of customers with thousands of restaurant partners! THE ROLE As a Senior Customer Analyst, you will play a pivotal role in driving customer strategy and lifecycle optimisation across acquisition, retention, and loyalty. You … ll use advanced analytics and data storytelling to influence commercial and marketing decisions that shape customer growth. Key Responsibilities: Analyse and optimise customer behaviour across the lifecycle - acquisition, retention, churn. Deliver actionable insights that influence marketing and growth strategy. Run A/B and multivariate tests to evaluate campaign performance. Use SQL and Tableau/Looker to build … by identifying opportunities to move customers through key stages. Collaborate cross-functionally with analytics, marketing, and commercial teams. YOUR SKILLS AND EXPERIENCE Advanced SQL skills essential Strong background in customer, lifecycle, or marketing analytics. Experience owning analytical projects, e.g. customersegmentation, LTV modelling, churn reduction. Strong data storytelling skills - able to translate insights into commercial impact. Ideally More ❯
re expanding our data and insights capabilities to better understand, serve, and grow our audience community. Role Overview We're looking for a strategic and data-savvy Director of Customer & Audience Insights to lead our understanding of who our users are, what they value, and how we can serve them better. This is a highly cross-functional leadership role … sitting at the intersection of data science, marketing, product, and editorial . You'll oversee customersegmentation, behavioral analytics, retention modeling, and strategic research, translating complex data into actionable insight to fuel decision-making across the business. You'll work closely with marketing, product, editorial, and senior leadership to guide our audience strategy, drive personalized experiences, and maximize … customer lifetime value. Key Responsibilities Lead GB News' customer and audience insight function, developing a deep understanding of viewer behavior, member value, and user journeys. Partner with Data Science and Analytics to design and implement models around segmentation, churn risk, LTV, engagement scoring, and conversion likelihood. Guide research and analysis to support marketing, content, and product teams More ❯
a major digital transformation. With a strong presence across web and app channels, the business is investing heavily in analytics, modern data platforms, and digital product capability to improve customer experiences and drive commercial performance. The company operates large-scale digital customer journeys with significant traffic volumes, making data central to decision-making across product, marketing, operations, and … service design. THE TEAM You’ll join the Data & Analytics function, which is structured into several specialist groups including: Digital & Customer Operations Analytics Tagging & Tracking Data Engineering Insights, BI & Visualisation This role sits within a cross-functional environment that works agnostic of product, supporting insight generation across digital journeys, product performance, and customer behaviour. You’ll lead a … is collaborative, technically strong, and commercially focused — ideal for someone who enjoys blending analytical depth with strategic influence. THE ROLE This position leads the insight agenda across digital channels, customer journeys, and product experiences. You’ll shape how data is used to inform decisions, guide digital strategy, and drive engagement and retention across web and app platforms. It’s More ❯
a major digital transformation. With a strong presence across web and app channels, the business is investing heavily in analytics, modern data platforms, and digital product capability to improve customer experiences and drive commercial performance. The company operates large-scale digital customer journeys with significant traffic volumes, making data central to decision-making across product, marketing, operations, and … service design. THE TEAM You’ll join the Data & Analytics function, which is structured into several specialist groups including: Digital & Customer Operations Analytics Tagging & Tracking Data Engineering Insights, BI & Visualisation This role sits within a cross-functional environment that works agnostic of product, supporting insight generation across digital journeys, product performance, and customer behaviour. You’ll lead a … is collaborative, technically strong, and commercially focused — ideal for someone who enjoys blending analytical depth with strategic influence. THE ROLE This position leads the insight agenda across digital channels, customer journeys, and product experiences. You’ll shape how data is used to inform decisions, guide digital strategy, and drive engagement and retention across web and app platforms. It’s More ❯
a major digital transformation. With a strong presence across web and app channels, the business is investing heavily in analytics, modern data platforms, and digital product capability to improve customer experiences and drive commercial performance. The company operates large-scale digital customer journeys with significant traffic volumes, making data central to decision-making across product, marketing, operations, and … service design. THE TEAM You'll join the Data & Analytics function, which is structured into several specialist groups including: Digital & Customer Operations Analytics Tagging & Tracking Data Engineering Insights, BI & Visualisation This role sits within a cross-functional environment that works agnostic of product, supporting insight generation across digital journeys, product performance, and customer behaviour. You'll lead a … is collaborative, technically strong, and commercially focused - ideal for someone who enjoys blending analytical depth with strategic influence. THE ROLE This position leads the insight agenda across digital channels, customer journeys, and product experiences. You'll shape how data is used to inform decisions, guide digital strategy, and drive engagement and retention across web and app platforms. It's More ❯
OVERVIEW We are super excited to be partnering with one of the largest global lifestyle brands at a pivotal stage in their data journey. As they bring CRM and customer insight capability 'in house' and roll out a new customer data platform, this role will be central to shaping how data science is delivered, working closely with Data … OVERVIEW We are super excited to be partnering with one of the largest global lifestyle brands at a pivotal stage in their data journey. As they bring CRM and customer insight capability 'in house' and roll out a new customer data platform, this role will be central to shaping how data science is delivered, working closely with Data … looking for a passionate and experienced Senior Data Scientist/Manager to lead personalization efforts within their CRM ecosystem. You'll develop predictive models and recommendation systems that enhance customer engagement across global markets. THE ROLE Lead development of machine learning solutions for CRM personalization. Build and optimize recommendation engines using neural networks and deep learnings, incorporating product embeddings More ❯
managing project delivery, timelines, and stakeholder communications. Translate complex business challenges into analytical frameworks and actionable insights using data from multiple sources. Conduct advanced quantitative analyses (e.g., marketing attribution, segmentation, predictive modeling) to uncover business drivers and inform strategy. Present findings and recommendations to senior client stakeholders in a clear, compelling narrative that drives decision-making. Collaborate cross-functionally … years of experience in analytics, strategy consulting, or marketing consulting, with proven client-facing experience. Strong quantitative and analytical skills, with experience in marketing mix modeling, multi-touch attribution, customersegmentation, or identity/data management platforms. A degree in Statistics, Data Science, Marketing Analytics, or a related field. Excellent communication skills, with the ability to simplify complex More ❯
compliance, and differentiation. You’ll collaborate across product, marketing, sales, and compliance teams to ensure new payment solutions are positioned effectively and meet regulatory standards including KYC (Know Your Customer) , KYB (Know Your Business) , and AML (Anti-Money Laundering) . Key Responsibilities Market Analysis: Research competitive landscapes, customer needs, and emerging trends in payments. Customer & Industry Insight … and feedback, shaping product features and solutions. Product Positioning: Define and communicate the unique value proposition, highlighting differentiators vs. competitors. Pricing Strategy: Develop pricing models aligned with market standards, customer value, and adoption goals. Distribution Strategy: Identify and optimise customer channels, including digital platforms, mobile apps, and strategic partnerships. Marketing & Communications: Collaborate with marketing to build compelling messaging … campaigns, and product collateral. Sales Enablement: Equip sales teams with training, tools, and resources to successfully sell new payment solutions. Launch Execution: Lead product rollouts, customer onboarding, and adoption tracking. Compliance Integration: Ensure go-to-market strategies and product features align with KYC, KYB, and AML requirements. Performance Monitoring: Track KPIs such as acquisition, transaction volume, and revenue to More ❯
City of London, London, United Kingdom Hybrid/Remote Options
83zero
compliance, and differentiation. You’ll collaborate across product, marketing, sales, and compliance teams to ensure new payment solutions are positioned effectively and meet regulatory standards including KYC (Know Your Customer) , KYB (Know Your Business) , and AML (Anti-Money Laundering) . Key Responsibilities Market Analysis: Research competitive landscapes, customer needs, and emerging trends in payments. Customer & Industry Insight … and feedback, shaping product features and solutions. Product Positioning: Define and communicate the unique value proposition, highlighting differentiators vs. competitors. Pricing Strategy: Develop pricing models aligned with market standards, customer value, and adoption goals. Distribution Strategy: Identify and optimise customer channels, including digital platforms, mobile apps, and strategic partnerships. Marketing & Communications: Collaborate with marketing to build compelling messaging … campaigns, and product collateral. Sales Enablement: Equip sales teams with training, tools, and resources to successfully sell new payment solutions. Launch Execution: Lead product rollouts, customer onboarding, and adoption tracking. Compliance Integration: Ensure go-to-market strategies and product features align with KYC, KYB, and AML requirements. Performance Monitoring: Track KPIs such as acquisition, transaction volume, and revenue to More ❯
Product Data Science function, you will: Define and lead the Data Science strategy for Product, embedding advanced analytics, data science, and AI methodologies into how products are built and customer experiences improved. Act as a trusted advisor to senior Product and Engineering leadership, ensuring data-driven decision making at the highest level. Drive the development and adoption of scalable … Mentor and coach Data Scientists and Analysts, fostering technical excellence and a culture of continuous learning. Scale impact through automation, self-service, and democratisation of data science. Develop advanced customersegmentation and predictive models that directly inform the product roadmap. Communicate complex concepts to diverse audiences across Product, Engineering, Design, and Commercial functions. What you’ll bring Extensive More ❯
Product Data Science function, you will: Define and lead the Data Science strategy for Product, embedding advanced analytics, data science, and AI methodologies into how products are built and customer experiences improved. Act as a trusted advisor to senior Product and Engineering leadership, ensuring data-driven decision making at the highest level. Drive the development and adoption of scalable … Mentor and coach Data Scientists and Analysts, fostering technical excellence and a culture of continuous learning. Scale impact through automation, self-service, and democratisation of data science. Develop advanced customersegmentation and predictive models that directly inform the product roadmap. Communicate complex concepts to diverse audiences across Product, Engineering, Design, and Commercial functions. What you’ll bring Extensive More ❯
Lead Data Engineer Salary: £90,000 - £115,000 Location: West London (3 Days in Office) Using data science at their core, they transform complex property and customer data into insights that enhance targeting, retention, and performance. The Opportunity This flexible, data-driven start-up places Data Science at the heart of its business, using cutting-edge UK property data … to deliver powerful insights for real estate partners and retailers. By leveraging advanced analytics, predictive modelling, and customersegmentation, the company helps clients better understand and engage with their audiences, improving marketing precision, timing, and overall performance. With a strong technical foundation and a collaborative team led by experienced data leaders, the company is building efficient, automated data … with COO and other stakeholders If you're an experienced engineer with a passion for property and are looking for a role that blends hand on working with direct customer engagement, we'd love to hear from you, apply today. More ❯