9 of 9 Predictive Modelling Jobs in the North of England

until Summer 2027. About Jaywing Founded in 1999, and now part of Stubben Edge Group, Jaywing’s heritage is in data science, predictive modelling and analytics that support both our risk and marketing clients. We collate, manage and analyse huge volumes of data to help businesses better understand … make the most of their marketing budgets. A large part of our work is in the support of bad debt (IFRS9) and capital (IRB) modelling and management. Our Consulting team have many clients ranging from retail finance houses such as Frasers, to big banks like TSB, start-up lenders ...

secondary care. This is a key post within Digital Services, partnering with senior Pharmacy colleagues to deliver high-quality, high-reliability reporting, insight and modelling that informs operational and strategic decision making. You will lead the design and delivery of bespoke intelligence solutions for Pharmacy and Medicines, manage … continuous improvement. Main duties of the job Lead development of medicines and pharmacy intelligence solutions, dashboards and reporting. Provide expert analysis, including forecasting, modelling and statistical techniques to support planning and performance. Ensure reporting is accurate, secure, robust and fit for purpose, with reliable data flows and strong information ...

Champion automation and self-service tools to reduce manual reporting and increase value-add analytical work Support the evolution of advanced analytics capability, including predictive modelling Take a product-led approach to BI and data, influencing the development of data warehouse and reporting architecture Partner closely with Data ...

fast moving business, comfortable establishing best practices independently. Forward-Thinking: Familiarity with or strong interest in leveraging AI-powered analytics and automation for predictive modeling and forecasting is beneficial Why Join Us? Even if you dont tick every single box on this list, please apply anyway! We value ...

usage. Contribute to the development of scalable prototypes and production-ready solutions. Ideal Candidate Hands-on experience with AI/ML tools (e.g. NLP, predictive modelling, process automation). Familiarity with cloud platforms (AWS, Azure, or GCP). Strong problem-solving and collaboration skills. Ability to communicate technical ...

influence strategic decision-making. The successful candidate will leverage a wide range of traditional, public, financial, and alternative datasets to uncover valuable signals, develop predictive models, and contribute to high-impact analytical projects. This role offers the opportunity to work at the intersection of data science, machine learning … fast-paced and innovative setting. Key Responsibilities Analyse large and complex structured and unstructured datasets to identify meaningful patterns, trends, and opportunities. Develop predictive models and advanced analytical solutions that support critical business and research objectives. Partner closely with stakeholders to understand key challenges and translate data into actionable ...

recommendation engines, or Natural Language Processing (NLP) models to map employee skills profiles against text-heavy job descriptions and vacancies. Workforce Optimization Modeling: Build predictive optimization models that evaluate employee skills alongside geographic data and building costs to calculate the most cost-effective location strategy. Upholding Statistical Truth: Champion … SciPy, statsmodels). Experience with NLP frameworks (spaCy, HuggingFace, or text embeddings) is highly valued. Statistical Rigor: Solid foundation in applied statistics, including clustering, predictive modeling, regression, and algorithmic fairness evaluations. Exploratory Data Storytelling: Ability to visually explain algorithm performance (using Plotly, Seaborn, etc.) and present model logic transparently ...

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

recommendation engines, or Natural Language Processing (NLP) models to map employee skills profiles against text-heavy job descriptions and vacancies. Workforce Optimization Modeling: Build predictive optimization models that evaluate employee skills alongside geographic data and building costs to calculate the most cost-effective location strategy. Upholding Statistical Truth: Champion … SciPy, statsmodels). Experience with NLP frameworks (spaCy, HuggingFace, or text embeddings) is highly valued. Statistical Rigor: Solid foundation in applied statistics, including clustering, predictive modeling, regression, and algorithmic fairness evaluations. Exploratory Data Storytelling: Ability to visually explain algorithm performance (using Plotly, Seaborn, etc.) and present model logic transparently ...