1 to 25 of 243 Personalization Jobs in London

identify customer needs and pain points. Optimize web pages and interfaces for conversion, retention, and engagement using A/B testing, multivariate testing, and personalization tools. Work with Adobe Target and our agency to create and deliver personalized experiences and recommendations for different customer segments and scenarios. Collaborate with product More ❯

identify customer needs and pain points. Optimize web pages and interfaces for conversion, retention, and engagement using A/B testing, multivariate testing, and personalization tools. Work with Adobe Target and our agency to create and deliver personalized experiences and recommendations for different customer segments and scenarios. Collaborate with product More ❯

competitive advantage. About the role: Build and refine Data Science/AI/ML models that solve genuine commercial challenges Work across predictive analytics, personalization, and decision-making tools Deploy models on major cloud platforms (AWS, Azure, GCP) Collaborate with AI Engineers and Product Teams on scalable solutions Help increase More ❯

competitive advantage. About the role: Build and refine Data Science/AI/ML models that solve genuine commercial challenges Work across predictive analytics, personalization, and decision-making tools Deploy models on major cloud platforms (AWS, Azure, GCP) Collaborate with AI Engineers and Product Teams on scalable solutions Help increase More ❯

GTM strategies aimed at maximizing user engagement and loyalty. The ideal candidate will have a strong background in CRM, with expertise in localization and personalization strategies. Key skills should include customer journey mapping, customer lifecycle management, and segmentation using data-driven machine learning techniques. This role requires a deep understanding More ❯

and analyse AB tests for new features, while applying/using statistical methods for purposes of significance testing Leading the optimization to evoke's personalization models alongside the data scientists Identifying opportunities for improving our product supported by quantitative data analysis Working with stakeholders to understand drivers behind core business More ❯

meet all criteria - we value learning and growth! Recent projects: Developed an in-house model to improve our Organic search performance. Presented a new personalization model for the customer journey to the entire company. Supported a company-wide initiative to develop and implement a content relevancy model for customers. Our More ❯

. Analytical mindset — able to turn customer data into actionable strategies. Clear communicator with experience influencing senior leaders. Deep understanding of customer journeys and personalization strategies . Knowledgeable about GDPR and privacy compliance . 🎯 Ideal Background Degree in Technology, Marketing, Business, or related areas . Experience within luxury retail, fashion More ❯

Taking a leading role in projects such as recommendation systems, churn and uplift modelling, real-time predictions, handling live streaming data, users clustering and personalization, product A/B continuous optimization, and many others. Who we are looking for: We are committed to responsible gambling, and we are looking for More ❯

in driving that next stage of growth. What it's like to work at Qloo At Qloo, we're building AI solutions that power personalization for some of the world's greatest companies, but we're just as committed to fostering an exceptional workplace. Here, curiosity is key. We thrive More ❯

Analyze user journeys and behavioral data across tenants to uncover insights that inform product and engagement strategies. Develop segmentation and predictive models to support personalization and proactive member engagement based on demographics, behavior, and interaction activities etc. Design and analyze experiments (A/B testing, cohort studies) to assess feature More ❯

Analyze user journeys and behavioral data across tenants to uncover insights that inform product and engagement strategies. Develop segmentation and predictive models to support personalization and proactive member engagement based on demographics, behavior, and interaction activities etc. Design and analyze experiments (A/B testing, cohort studies) to assess feature More ❯

. Analytical mindset — able to turn customer data into actionable strategies. Clear communicator with experience influencing senior leaders. Deep understanding of customer journeys and personalization strategies . Knowledgeable about GDPR and privacy compliance . 🎯 Ideal Background Degree in Technology, Marketing, Business, or related areas . Experience within luxury retail, fashion More ❯

. Analytical mindset — able to turn customer data into actionable strategies. Clear communicator with experience influencing senior leaders. Deep understanding of customer journeys and personalization strategies . Knowledgeable about GDPR and privacy compliance . 🎯 Ideal Background Degree in Technology, Marketing, Business, or related areas . Experience within luxury retail, fashion More ❯

conversion rates, churn, and customer lifetime value (CLV). Use this data to optimize campaigns and share actionable insights with cross-functional partners. - Segmentation & Personalization: Work with the database marketing team to recommend and build detailed customer segments based on behaviors, demographics, and lifecycle stages. Leverage these segments to create More ❯

and prospective customer expectations. Conduct product demos of Kumo solving ML problems in a variety of verticals, including finance/fraud, growth/marketing, personalization/commerce, and forecasting/optimization. Guide the customer to achieve meaningful wins on high-impact ML problems, by leveraging your problem-solving skills, data More ❯

needs. Hands-on experience with AI/ML technologies and their practical applications in the gambling industry, including player behaviour analysis, risk management, and personalization strategies. Strategic thinker with the ability to see the bigger picture, align decisions with long-term objectives, and drive impactful, forward-looking solutions. Extensive knowledge More ❯

At Spotify, we're on a mission to unlock the potential of human creativity by connecting millions of artists with billions of fans around the world. The Search product area is central to that mission-reinventing how users find and More ❯

or a related field. Minimum of 5 years of industry experience as a data scientist, with a focus on ML modelling, Ranking, Recommendations, or Personalization systems. Proven track record of designing and developing scalable and reliable machine learning systems. Strong expertise in ML/DL/LLM algorithms, model architectures More ❯

of machine learning models across different areas of the business. Required Qualifications, Capabilities, and Skills Solid background in NLP or speech recognition and analytics, personalization/recommendation and hands-on experience and solid understanding of machine learning and deep learning methods. PhD in a quantitative discipline, e.g. Computer Science, Electrical More ❯

As a MarTech Consultant, you will play a key role in shaping and delivering innovative marketing technology solutions that enhance customer engagement, personalization, and digital experience. You will work closely with clients to assess their marketing technology needs, recommend best-fit solutions, and support the implementation of cutting-edge MarTech More ❯

range of solutions and services that are enabling clients both to unlock efficiencies within their content operating models and deliver significant business value through personalization of the customer experience. We are growing our team of passionate and skilled content transformation specialists supporting some of the biggest pharma companies in the More ❯

engineers, and data scientists Product Development: - Oversee the end-to-end product development lifecycle for deal event technologies - Drive innovation in areas such as personalization, deal selection, and purchase experience - Utilize data-driven insights to inform product decisions and optimize performance Technical Expertise: - Guide technical architecture decisions to ensure scalability More ❯

and marketing to develop and optimize new consumer incentive capabilities. Identify problem areas and opportunities through research, data analysis, and stakeholder insights. Improve targeting, personalization, and orchestration of promotional offers across channels and regions. Develop new in-app features to showcase offers and deals. Build capabilities to enable global marketing More ❯

responsible for the engineering of Disney Entertainment & ESPN digital and streaming products and platforms. This includes product engineering, media engineering, quality assurance, engineering behind personalization, commerce, lifecycle, and identity. Job Summary As a Lead Software Engineer, you will be responsible for driving a mission to simplify and streamline services throughout More ❯