18 of 18 Customer Segmentation Jobs in England

pre-arrears, collections, and outsourced recoveries. Reporting Development: Oversee the design and delivery of new performance and insight reporting, particularly using our new data lake and debt collection system. Customer Segmentation Insight: Provide data and analysis to support tailored strategies based on customer segmentation, enhancing the effectiveness of collections and support. Business Intelligence & Insight: Manage the 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 customer segmentation, 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 ❯

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 ❯

impact sales reports and dashboards for local and regional decision-making. Manage the UKI incentive calculation, sales target modelling, and rebate analytics process. Provide analytical support for tender pricing, customer segmentation, and loyalty scheme modelling. Conduct ad hoc analysis to support cross-functional stakeholders with timely insights. BI Development & Reporting: Develop and maintain reporting suites using Power BI More ❯

strategies, retention, and network expansion. Partner with commercial and product stakeholders to embed data into every stage of the sales, account management, and network growth processes. Build models for customer segmentation, anomaly detection, forecasting, fraud/risk scoring, and identifying growth opportunities in existing and untapped markets. Turn data into actionable insights, proactively and persuasively translating data into More ❯

techniques spanning RAG, grounding, prompt engineering, and orchestration on a GCP-first stack. Building and maintaining production ML pipelines and services for non-GenAI use cases (e.g. recommender systems, customer segmentation models, marketing optimisation modules, leveraging supervised, unsupervised and/or econometric modelling approaches). Developing APIs and microservices for AI/ML solutions, ensuring security, scalability, and More ❯

aligning it with the broader organizational goals. This includes identifying new market opportunities, setting long-term objectives, and ensuring the successful execution of strategic initiatives.; Informed by market intelligence, customer insights, competitive analysis, and strategic foresight. Drive innovation within D&A by identifying emerging technologies and trends in partnership with Product teams. Work with Product teams to oversee the … engagement, and the evaluation of M&A, investment, and venture opportunities in partnership with D&A Leadership Team. Partner with Finance, Transformation and Product Teams to align growth forecasts, customer segmentation, and market coverage strategies. Work closely with the Group Strategy Team to ensure divisional strategy underpins the group strategy.The D&A organisation is comprised of c1 … ensuring that the division is prepared to respond to changing market conditions and unforeseen challenges. Market Knowledge A deep understanding of the data and analytics industry, including market dynamics, customer needs, and competitive landscape, is essential. This knowledge helps inform strategic decisions and maintain a competitive edge in the market.Join us and be part of a team that values More ❯

data-rich environment. Main Responsibilities Deliver proactive business insights across finance, operations, sales, and warehouse functions. Analyse inventory, stock health, margin, and pricing trends to support decision-making. Conduct customer segmentation and multi-channel sales analysis. Support FP&A processes with accurate and insightful reporting. Work hands-on with SQL, Power BI, Excel, and the Fabric data warehouse More ❯

etc. Data analysis skills: Proficiency in data manipulation, statistical analysis, and data visualization tools to extract meaningful insights from marketing data. Marketing strategy expertise: Strong understanding of marketing principles, customer segmentation, and campaign planning. Technical proficiency: Familiarity with programming languages like SQL and basic understanding of APIs to facilitate data integration. Project management skills: Ability to analyse and More ❯

Main Skills Needed: 4+ years in a dedicated user research role with strong practical experience across core research methods. Background in Banking or Financial Services is essential. Confident running customer interviews, usability testing, surveys, and concept validation. Skilled in customer segmentation across different markets and participant recruitment. Excellent facilitator with a track record of leading workshops and More ❯

line with the corporate direction. Functional Tasks • Create and maintain a rolling marketing budget • Create strategic and operational marketing plans • Strategic planning including corporate positioning, market and competitive analysis, customer segmentation and penetration plans • Guide team to ensure timely and effective execution of marketing tactics • Analyze market research to determine risk and marketability of potential future products and … software company would be considered an asset. • The successful candidate must thrive in a dynamic and collaborative fast-paced environment. • Must know: Technology & financial services markets, Demand generation techniques, Customer buying and decision making processes, Channel management Remuneration & Benefits • Attractive base and variable compensation package coupled with stock options. 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 ❯

data scientists already embedded on-site. Key Responsibilities Act as the bridge between data teams and C-level leadership, translating insights into strategic decisions. Lead the development of KPIs , customer segmentation strategies , and A/B testing frameworks . Deliver clear and actionable insights to senior leadership, focusing on the "why" behind customer behaviours and campaign outcomes. … Mentor and manage a team of 4 analysts/data scientists, ensuring quality outputs and effective delegation. Support segmentation campaigns and provide insights that drive media and product growth. Required Skills & Experience Proven background as a Lead Insight Analyst, Strategy Consultant, or Senior Commercial Consultant . Strong experience engaging with C-level stakeholders , with the ability to influence and More ❯

tuning. Data migration, reporting, and integration with backend systems. Retail & B2B Business Models Understanding of B2B workflows: bulk ordering, tiered pricing, account hierarchies. Experience with retail operations: inventory, promotions, customer segmentation. Familiarity with omnichannel strategies and digital transformation in retail. - Experience with the full software development lifecycle.- Full UK driving license. Desirable Skills ERP or CRM integration (e.g., NetSuite More ❯

tuning. Data migration, reporting, and integration with backend systems. Retail & B2B Business Models Understanding of B2B workflows: bulk ordering, tiered pricing, account hierarchies. Experience with retail operations: inventory, promotions, customer segmentation. Familiarity with omnichannel strategies and digital transformation in retail. - Experience with the full software development lifecycle.- Full UK driving license. Desirable Skills ERP or CRM integration (e.g., NetSuite More ❯

advanced analytics, and predictive models that optimise digital marketing performance. Key focus areas include LTV modelling , Tableau dashboarding , and Media Mix Modelling (MMM) to guide investment decisions and maximise customer value. Key Responsibilities Develop and operationalise LTV models for acquisition, retention, and forecasting. Design and deliver Tableau dashboards that give clear, actionable insights. Lead Media Mix Modelling (MMM) to … marketing data sources. Provide advanced analytics and insights on campaign performance and sales funnel. Partner with stakeholders across marketing, sales, and finance to inform strategy. Conduct deep dives into customer behaviour, performance trends, and ROI. Requirements Proven expertise in Tableau (or similar BI tools). Hands-on experience with LTV modelling and customer segmentation. Practical background in MMM More ❯

generate qualified leads and enterprise opportunities. Use CRM platforms (HubSpot, Salesforce) to track pipeline, automate outreach, and report performance. Collaborate closely with operations, research, and tech teams to align customer needs and ensure seamless delivery. Engage directly with senior stakeholders at global Consumer Packaged Goods companies, innovation hubs, and strategic partners. Contribute to shaping commercial strategy, including pricing models … and customer segmentation. Represent FlavorWiki at industry conferences, partner events, and global forums as a brand ambassador. What We're Looking For 8-12 years of experience in business development, commercial strategy, partnerships, or enterprise sales. Background in consumer insights, product research, or data analytics - ideally with experience at firms such as Nielsen, Ipsos, GfK, or similar. Proven success More ❯

world, including Amazon and Walmart, and strive to be the best alternative-lender globally. What will you do ️ Drive Credit Strategy Development: Own and evolve credit strategy across the customer lifecycle by assessing performance and implementing changes to policy, approval cut-offs, credit limits, and pricing models to optimise risk-adjusted returns. Monitor and Improve Portfolio Performance: Continuously track … in our automated credit systems. Leverage Alternative Data: Analyse structured and unstructured data from e-commerce platforms, open banking, and other non-traditional sources to improve underwriting precision and customer segmentation. Drive Pricing Optimisation: Support the development of dynamic, risk-based pricing models to ensure alignment between credit risk, customer lifetime value, and revenue objectives. Design and Run … impact of changes in credit policy, eligibility criteria, and pricing strategies. Collaborate Across Functions: Partner with teams in Product, Engineering, Sales, and Operations to ensure credit strategy aligns with customer experience, operational capabilities, and commercial goals. Who you are Analytically Exceptional: You have a strong academic foundation, ideally with a degree in Mathematics, Statistics or Data Science. You bring More ❯