10 of 10 Customer Segmentation Jobs in London

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯