Remote Customer Segmentation Jobs in Birmingham

2 of 2 Remote Customer Segmentation Jobs in Birmingham

Head of Data (Ref: 184624)

birmingham, midlands, United Kingdom
Hybrid / WFH Options
Forsyth Barnes
performing team of analysts and data professionals, working closely with senior stakeholders across trading, marketing, digital, and operations. From pricing and product performance to customer insights and predictive modelling, you will drive the use of data to deliver tangible commercial outcomes. This is an exciting opportunity for an experienced … and lead the data analytics and data science strategy aligned to business priorities Deliver insights across pricing, margin, product mix, and channel performance Drive customer segmentation, behaviour analysis, and lifetime value modelling Champion the use of predictive analytics and data science to inform trading and marketing activity Establish More ❯
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Artificial Intelligence Engineer

birmingham, midlands, United Kingdom
Hybrid / WFH Options
X4 Technology
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 ❯
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