4 of 4 Permanent Customer Segmentation Jobs in Wales

in an AI context is a must. AI Engineer Key Responsibilities: Develop and optimise AI-powered recommendation engines, chatbots, and virtual assistants to enhance customer experience and personalise interactions. Create predictive models for demand forecasting, inventory management, and dynamic pricing to optimise operations and reduce costs. Build machine learning … models for content recommendation engines and audience insights. Design AI-driven marketing tools, customer segmentation models, and automated A/B testing to improve targeting and ad performance. Implement generative AI techniques for the creation of imagery relevant to client needs. Collaborate with cross-functional teams to integrate … AI solutions across marketing, operations, customer service, and sales. AI Engineer Required Qualifications and Skills: Proficiency in programming languages such as Python, R, or Java, with experience in AI frameworks (e.g., TensorFlow, PyTorch, Keras). Strong knowledge of data analysis, visualisation tools, and big data technologies (e.g., SQL, Hadoop More ❯

in an AI context is a must. AI Engineer Key Responsibilities: Develop and optimise AI-powered recommendation engines, chatbots, and virtual assistants to enhance customer experience and personalise interactions. Create predictive models for demand forecasting, inventory management, and dynamic pricing to optimise operations and reduce costs. Build machine learning … models for content recommendation engines and audience insights. Design AI-driven marketing tools, customer segmentation models, and automated A/B testing to improve targeting and ad performance. Implement generative AI techniques for the creation of imagery relevant to client needs. Collaborate with cross-functional teams to integrate … AI solutions across marketing, operations, customer service, and sales. AI Engineer Required Qualifications and Skills: Proficiency in programming languages such as Python, R, or Java, with experience in AI frameworks (e.g., TensorFlow, PyTorch, Keras). Strong knowledge of data analysis, visualisation tools, and big data technologies (e.g., SQL, Hadoop More ❯

to Succeed: This role demands a scrappy, hands-on professional who can craft and execute end-to-end strategies, deeply engaging with the full customer journey to maximize conversion, engagement, retention, and lifetime value (LTV). This high-visibility position reports directly to the Vice President of Marketing and … well-rounded skill set that blends technical, creative, and analytical strengths. Expertise in creating targeted LTV-driven marketing campaigns that resonate with all unique customer segments. Hands-On Approach: A leader who actively participates in campaign development and does not solely delegate tasks, ensuring strategy execution aligns with high … standards. Technical Expertise: Proficiency in lifecycle marketing technologies like Braze and Validity Software, plus experience in customer segmentation and personalization. People Leadership: The incumbent must have 5+ years of experience in people leadership and building and scaling teams within similar corporate environments. Technology, data, and creativity: Proven skills More ❯

to Succeed: This role demands a scrappy, hands-on professional who can craft and execute end-to-end strategies, deeply engaging with the full customer journey to maximize conversion, engagement, retention, and lifetime value (LTV). This high-visibility position reports directly to the Vice President of Marketing and … well-rounded skill set that blends technical, creative, and analytical strengths. Expertise in creating targeted LTV-driven marketing campaigns that resonate with all unique customer segments. Hands-On Approach: A leader who actively participates in campaign development and does not solely delegate tasks, ensuring strategy execution aligns with high … standards. Technical Expertise: Proficiency in lifecycle marketing technologies like Braze and Validity Software, plus experience in customer segmentation and personalization. People Leadership: The incumbent must have 5+ years of experience in people leadership and building and scaling teams within similar corporate environments. Technology, data, and creativity: Proven skills More ❯