5 of 5 Remote/Hybrid Predictive Modelling Jobs in Yorkshire

14. You'll analyse customer and campaign data to understand behaviour, uncover opportunities and deliver actionable insight. You'll support audience targeting, segmentation and modelling activity, helping to ensure our marketing communications are relevant, effective and customer-focused. You'll also evaluate marketing performance, measure ROI and provide clear … strong track record of using customer data and advanced analytics to identify opportunities, understand customer behaviour and improve marketing effectiveness. Experience in customer segmentation, predictive modelling, propensity modelling, lookalike audience modelling and audience targeting is essential, and you'll be confident using these approaches to identify ...

applying quantitative techniques to uncover patterns, generate insights and optimise outcomes, enabling more informed decisions for both the business and its customers. Machine Learning, predictive modelling and applied AI, developing, evaluating and operationalising models using state-of-the-art libraries and frameworks such as scikit-learn, TensorFlow, PyTorch … analytical techniques and experience in manipulating and deriving insight from data. Python coding experience, knowledge of SQL and the ability to use statistical modelling techniques as this will form a part of the assessments. Locations Bristol, Edinburgh, Halifax, Leeds, London, Manchester. You will be expected to work in your ...

data and AI strategy as we transition to Microsoft Fabric. You will partner with stakeholders to identify opportunities, transform data into insights, and deploy predictive models that support customer acquisition, retention and margin optimisation. #J-18808-Ljbffr ...

strategic use of data within the business. Description Duties of the Data Scientist: Analyse large datasets to identify trends and actionable insights. Develop predictive models and algorithms to solve business challenges. Collaborate with stakeholders to understand data requirements and deliver solutions. Present findings in a clear and concise manner … collaborative analytics team to meet business objectives. Profile A successful Data Scientist should have: Strong analytical and problem-solving skills. Experience with data analysis, modelling, and visualisation tools. Knowledge of programming languages such as Python, R or SQL. Ability to communicate complex data insights clearly. Experience producing clear reports ...

with commercial, product, finance and engineering teams to identify opportunities, design experiments and deliver solutions that generate measurable business impact. This role combines advanced modelling with hands-on deployment, making it ideal for someone who enjoys taking ideas from concept through to production. Key Responsibilities Develop and optimise pricing … revenue-focused machine learning models. Design and evaluate experiments, including backtesting and online testing methodologies. Build predictive models to support commercial decision-making and risk assessment. Deploy, monitor and maintain production machine learning solutions. Work closely with stakeholders to understand business challenges and translate them into scalable data products. ...