4 of 4 Permanent Predictive Modelling Jobs in Staffordshire

commercial decision-making, you’ll develop innovative data science solutions that help shape customer experiences, optimise performance and drive measurable business value. From predictive modelling and behavioural segmentation through to AI and machine learning solutions, you’ll own the end-to-end delivery of impactful data science initiatives … deliver the Digital data science roadmap, ensuring solutions create demonstrable commercial value across the business. Design, develop and deploy advanced data science solutions including predictive models, customer segmentations and AI/ML decision engines. Partner with Product, CRM and Digital teams to understand business requirements and translate them into ...

behaviour and commercial decision-making to shape experiences and drive value across the business. You’ll own end-to-end data science initiatives, from predictive modelling and segmentation to AI/ML solutions, partnering with Product, CRM and Digital teams to translate needs into data-led solutions ...

bet365 Group seeks a Lead Data Scientist to spearhead advanced probabilistic models powering real-time betting markets. The role involves developing predictive models, collaborating with trading and software teams, and applying state-of-the-art ML techniques in a fast-paced environment. The ideal candidate has a Master ...

Mathematics, Data Science, Computer Science, or a related quantitative field. Proven success in leading the design, development, and deployment of sophisticated predictive models. Expertise in Python/R and ML frameworks, such as scikit-learn, TensorFlow, or PyTorch, Proven ability to design and implement complex machine learning solutions … solutions for complex challenges, solving problems without prescriptive approaches. Overseeing advanced analysis of large datasets to derive actionable insights aligned with business objectives. Developing predictive models and algorithms using statistical techniques and machine learning. Conducting and supervising rigorous statistical validation of models against historical and live data. Collaborating with ...