26 to 50 of 50 Customer Segmentation Jobs in England

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 ❯

help drive strategic use of data to support both Insurer Relations and Marketing teams. Sitting within the Analytics & Enrichment team, you will lead a team of analysts to deliver customer insight, selection models and performance analytics that inform decisions across our insurance brands. This role blends hands-on analytics with leadership, stakeholder engagement and innovation in Analytics and Data … techniques (eg logistic regression, clustering, GBMs) and the application of these in a commercial context. Advanced SQL skills with experience with Python and/or R. Solid understanding of customer segmentation and its applications. Excellent communication and storytelling skills, with the ability to influence senior stakeholders. Strong organisational and strategic thinking capabilities. Resilience, can work independently to deliver More ❯

as freight and import duties. Design, implement, and manage pricing models to support bids, tenders, and quoting processes. Conduct in-depth analysis of historical sales, market trends, competitor activity, customer segmentation, and product lifecycle data to inform strategic pricing decisions. Collaborate cross-functionally with sales, finance, and procurement teams to ensure pricing decisions are commercially and operationally viable. … Monitor customer-specific pricing and margin performance, flagging opportunities for improvement. Maintain pricing data integrity within ERP and reporting systems. Deliver regular reports and dashboards with insights into pricing KPIs, profitability, and market trends. Required Skills & Experience for the role: All Applicants Must hold the right to work and live in the UK. Bachelor's degree in Business, Finance … across FMCG, e-commerce, or related sectors. Advanced technical expertise in Python, R, SQL for data analysis and automation. Strong modelling capabilities including A/B testing, elasticity modelling, segmentation, clustering, sensitivity/scenario analysis, and conjoint analysis. Proficiency in Advanced Excel, including Macros/VBA and Power BI. Demonstrated ability to work with large, complex datasets and translate More ❯

influence. Lead and define the Data Science strategy for Product, ensuring that advanced analytics, data science, and AI methodologies are central to how we build great products and improve customer experiences. Serve as a trusted strategic advisor to senior Product and Engineering leadership, ensuring that data-driven decision making is embedded at the highest levels of the organization. Drive … modeling, ensuring statistical rigor in decision-making processes. Take ownership of the most complex, high-profile analytical projects, translating ambiguous questions into clear, actionable recommendations that deliver commercial and customer value. Mentor, coach, and develop other Data Scientists and Analysts, fostering a culture of critical thinking, continuous learning, and technical excellence. Lead initiatives to scale impact through automation, self … service, and democratization of data science capabilities. Develop sophisticated customer segmentation, and predictive models that directly inform and optimize the product roadmap. Communicate complex analytical and technical concepts to diverse audiences, influencing stakeholders across Product, Engineering, Design, and Commercial teams. What You'll bring to the team: Core Qualifications: Experience: Extensive experience in data science or a similar 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 … 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 … and other advanced features to improve relevance and performance. Collaborate with CRM and regional marketing teams to align with campaign goals and customer segmentation strategies Own the full ML lifecycle—from model design to deployment and monitoring. Partner with engineering and data teams to ensure scalable solutions. Continuously monitor and improve model performance using data insights and feedback. 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 … 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 … and other advanced features to improve relevance and performance. Collaborate with CRM and regional marketing teams to align with campaign goals and customer segmentation strategies Own the full ML lifecycle—from model design to deployment and monitoring. Partner with engineering and data teams to ensure scalable solutions. Continuously monitor and improve model performance using data insights and feedback. 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 customer segmentation 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 customer segmentation 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 ❯

products across tools, MRO, and PPE, is seeking a commercial-savvy Senior Insight Analyst to join their team! With more than 250 employees, the company prides itself on its customer-first culture, next-day delivery, and ongoing investment in data transformation; the business is modernising its reporting and analytics capability using Microsoft Fabric, SQL, and increasingly Python and no … and distribution performance across thousands of SKUs Acting as a trusted data partner to commercial, finance, and operational teams Supporting marketing and eCommerce analytics; looking at things such as customer segmentation and campaign evaluation Collaborating with FP&A on forecasting and scenario analysis Your Skills and Experience Solid technical ability with SQL Proven experience within a wholesale, distribution 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 customer segmentation, 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 ❯

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 customer segmentation, 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 ❯

campaigns aligned to group trading objectives. Present recommendations to senior stakeholders, influencing decisions across FS P&L, retail trading, and marketing. Collaborate with Data Science to apply advanced analytics (segmentation, modelling, AI) to improve campaign outcomes. Prepare performance reports for Board and committee-level review. Support FS Product & Marketing initiatives and broader Retail projects. Mentor and develop Senior Analysts … a commercial analytics role - ideally in Online Retail or Financial Services. Strong SQL and SAS skills (or equivalent), with advanced Excel and solid PowerPoint/Office capability. Experience in customer segmentation, test-and-control methodologies, and ideally exposure to AI/machine learning. A sharp analytical mind with the ability to turn complex data into clear, actionable insights. More ❯

looking for a passionate and experienced Data Scientist Manager to lead personalization efforts within Ralph Lauren's CRM ecosystem. You'll develop predictive models and recommendation systems that enhance customer engagement across global markets. Lead development of machine learning solutions for CRM personalization. Build and optimize recommendation engines using neural networks and deep learning, incorporating product embeddings and other … advanced features to improve relevance and performance. Collaborate with CRM and regional marketing teams to align with campaign goals and customer segmentation strategies. Own the full ML lifecycle-from model design to deployment and monitoring. Partner with engineering and data teams to ensure scalable solutions. Continuously monitor and improve model performance using data insights and feedback. Experience, Skills 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 ❯

deal size, forecasting accuracy, quota attainment) and provide regular reporting to senior leadership Partner with GTM strategy team and provide input to sales planning, including regular updates to quotas, customer segmentation, account targeting, and Channel development Required Skills/Experience Proven senior leadership experience (10+ years) in sales operations, revenue operations or go to market operations in a More ❯

strategy consulting and/or marketing consulting. Client facing experience required. Exceptional data, analytics, and quantitative acumen with an understanding of solutions like marketing mix models, multi-touch attribution, customer segmentation, identity management and/or data management platforms (or similar experiences in predictive analytics) Great to have: degree in Statistics, Data and/or Analytics (or equivalent 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 ❯

campaign effectiveness Building dashboards and reports in ThoughtSpot Using SQL and dbt to model new data sources and improve reporting accuracy Supporting attribution modelling, A/B test reporting, customer segmentation, and LTV analysis Working cross-functionally to integrate new tools, streamline influencer processes, and improve marketing workflows Requirements: Strong SQL (complex joins, CTEs, window functions) Experience with More ❯

campaign effectiveness Building dashboards and reports in ThoughtSpot Using SQL and dbt to model new data sources and improve reporting accuracy Supporting attribution modelling, A/B test reporting, customer segmentation, and LTV analysis Working cross-functionally to integrate new tools, streamline influencer processes, and improve marketing workflows Requirements: Strong SQL (complex joins, CTEs, window functions) Experience with More ❯

mindset - you think in terms of ROI, not just model accuracy. - Excellent communication skills with the ability to influence non-technical stakeholders. - Experience with real-time bidding systems or customer segmentation models would be a real plus This ML Engineer based near Birmingham will receive the following benefits: - Base salary of between £75,000 - £90,000 DoE - bonus More ❯

Lead Data Scientist - Leicester We are working with a leading UK retailer and ecommerce company. The role focuses on marketing campaigns, recommendation systems and customer segmentation. You will be a technical lead within the business and work closely with teams to drive measurable impact through various models. They're looking for someone with: Strong experience in Python & SQL - this More ❯

Lead Data Scientist - Leicester We are working with a leading UK retailer and ecommerce company. The role focuses on marketing campaigns, recommendation systems and customer segmentation. You will be a technical lead within the business and work closely with teams to drive measurable impact through various models. They're looking for someone with: Strong experience in Python & SQL - this More ❯

customers. The Opportunity You will lead the design and deployment of AI-driven systems that power real-time decision-making in areas such as credit scoring, transaction monitoring, and customer segmentation. This is a chance to influence the architecture of next-generation banking platforms while mentoring a team of data scientists and collaborating with engineering and product leaders. Key … Responsibilities Drive end-to-end delivery of data science solutions for digital banking and risk analytics use cases. Build predictive models for credit risk, fraud prevention, and customer behaviour using cutting-edge ML techniques. Partner with product teams to embed intelligent decision engines into core banking workflows. Define best practices for model governance, explainability, and regulatory compliance in financial More ❯

customers. The Opportunity You will lead the design and deployment of AI-driven systems that power real-time decision-making in areas such as credit scoring, transaction monitoring, and customer segmentation. This is a chance to influence the architecture of next-generation banking platforms while mentoring a team of data scientists and collaborating with engineering and product leaders. Key … Responsibilities Drive end-to-end delivery of data science solutions for digital banking and risk analytics use cases. Build predictive models for credit risk, fraud prevention, and customer behaviour using cutting-edge ML techniques. Partner with product teams to embed intelligent decision engines into core banking workflows. Define best practices for model governance, explainability, and regulatory compliance in financial 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 ❯