4 of 4 Predictive Modelling Jobs in Bournemouth

datasets to build production-ready analytics models and dashboards. Key Responsibilities Collect, clean, analyze, and transform structured & semi-structured HR and recruitment datasets Build predictive models for talent forecasting, attrition risk, and candidate success scores Develop data visualizations, dashboards, and reports using Python, SQL & BI tools Perform EDA (exploratory ...

park, but we thrive on the challenge. We believe we're on the brink of creating something truly awesome. Responsibilities Analyse marketing performance, leveraging predictive modelling and statistical analyses to forecast strategy impact and identifying insights that reduce costs, improve conversion rates, and optimise spend. Develop advanced analytical … data. Lead post-campaign analysis, pre-campaign planning, and audience profiling to maximise marketing effectiveness. Work on multi-touch attribution (MTA) and marketing mix modelling (MMM) to analyse and optimise marketing spend. Act as the point of contact for reporting requests. Essential Experience 5+ years of experience in data ...

that improve customer experience and business performance. We are expanding our platform to include advanced AI capabilities — voice and chat assistants, intelligent analytics, and predictive insights — and are seeking an AI Engineering Lead to define and deliver this vision. Job Summary & Purpose Own and drive Akixi … partner with Product, Data, and Platform Engineering to design and integrate AI-driven capabilities such as voice/chatbots, natural-language analytics, and predictive models. This role balances strategic technical direction with hands-on implementation, ensuring Akixi's AI initiatives deliver tangible business and customer outcomes. Key Responsibilities Lead ...

Actions: Partner with our Data Engineering team to build reliable, high-quality data foundations that power fast-moving data streams and cutting-edge predictive models. Deploy and manage machine learning models as scalable APIs that seamlessly support real-time, production-grade applications. Use a diverse toolkit of languages … technologies to design and maintain resilient data pipelines that connect and orchestrate complex systems. Create well-structured datasets and automated processes that enable advanced modelling, mining and large-scale data production. Deliver clean, trusted data to the wider data community and champion improvements that boost reliability, efficiency and overall ...