3 of 3 Predictive Modelling Jobs in Yorkshire

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 ...

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 ...

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 ...