11 of 11 Predictive Modelling Jobs in the North of England

insights and storytelling. Strong strategic thinking, problem-solving, and communication skills. Preferred: Experience supporting commercial, medical device, or healthcare businesses. Knowledge of advanced analytics, predictive modeling, automation, and emerging technologies. Experience working with large, global data environments and cross-regional teams. Familiarity with data governance, privacy, and regulatory requirements ...

Heath (hybrid working) Role overview Markerstudy Group are looking for a Senior Machine Learning Engineer to help take leading-edge and novel insurance risk modelling and pricing techniques and participate in creating fully automated machine learning pipelines. Markerstudy is a leading provider of private insurance in the UK, insuring … engineers and share best practices Key Skills and Experience: Previous experience in tuning and deploying machine learning methods Experience with some of the following predictive modelling techniques; Logistic Regression, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets and Clustering Experience in DevOps and Azure ...

following: Excel for BI, Tableau, Power BI Skilled in SQL and ideally Python, demonstrated through real-world projects. Practical knowledge of predictive modelling (e.g., regression, decision trees) and time series forecasting (e.g., SARIMA). Solid understanding of statistical methods and their applications. Proven experience applying data and advanced ...

Design, develop and enhance AI and machine learning models to support lending and credit decisioning. Work on a wide range of AI initiatives including predictive modelling, scorecards, chatbots and transformer based approaches. Carry out research and development to explore how AI can be used as an alternative … improved solution to existing processes. Contribute to new product innovation, including the development of new predictive models and tools. Collaborate with stakeholders across data, analytics and the wider business to embed AI into client work and internal projects. Present technical concepts and findings clearly to both technical ...

analytics capability, working closely with teams across the business to improve data quality, accessibility and decision making. You will analyse complex datasets, build predictive models and translate insight into outcomes that support both commercial and operational confidence. Responsibilities * Collect, process and analyse large, complex datasets to identify trends, risks … opportunities * Design, develop and maintain data models, algorithms and predictive analytics solutions * Create dashboards and reports in Power BI to clearly visualise insights and performance metrics * Work collaboratively with cross functional teams and stakeholders to deliver data driven solutions Requirements * Degree in Data Science, Computer Science, Statistics ...

techniques applied to real-world lending problems. Key Responsibilities Build and enhance credit risk and lending models Apply ML and AI techniques including predictive modelling, clustering, segmentation, and transformer-based models Modernise legacy models using Python-based ML approaches Collaborate with product and engineering teams to deploy models ...

customer insight, analytics strategy and transformation Deep capability in data architecture, integration and connectivity across multiple data sources Advanced knowledge of machine learning, predictive modelling and modern analytics frameworks Proven ability to design integrated customer data assets that support decision making Excellent stakeholder management skills, with confidence influencing ...

customer insight, analytics strategy and transformation Deep capability in data architecture, integration and connectivity across multiple data sources Advanced knowledge of machine learning, predictive modelling and modern analytics frameworks Proven ability to design integrated customer data assets that support decision making Excellent stakeholder management skills, with confidence influencing ...

business and technical expertise. Work on high-complexity tasks in problems often within multiple business or analytical domains, collaborating with other teams to develop predictive models, risk assessments, fraud detection, recommendation engines, etc. encouraging enhanced solutions Package, summarize, visualize and perform storytelling on analytical findings and results for management … team. Good communication and presentation and visualisation skills. Strong experience in a related analytical role Proven track record of designing and developing predictive models in real-world applications Experience with model performance evaluation and predictive model optimization for accuracy and efficiency Cloud certification strongly preferred Additional role-based ...

workforce data to uncover trends, risks, and opportunities that inform HR and business strategies. Partner the Director, Workforce Analytics & Insights, Workplace Fairness to develop predictive and prescriptive analytics that enable proactive decision‐making. Team Collaboration Collaborate with key stakeholders to ensure seamless integration of workforce data across systems … workforce analytics, HR analytics, or a closely related field Experience with programming languages for advanced analytics, data cleaning, and automation Experience with statistical analysis, predictive modeling, and data interpretation techniques Experience with software used for advanced analytics, data management, business intelligence and predictive modeling (such as SAS, Databricks ...

Role overview As a Senior Data Scientist, you will use your advanced analytical skills to: Lead the development of cutting-edge, bespoke machine learning predictive models, including risk pricing and classification and regression models Identify and create data solutions that create value Work collaboratively with the pricing and machine … data assets and lead the development of bespoke machine-learning models to improve the underwriting performance of the Group. Key Responsibilities: Develop and test modelling improvements for pricing models, particularly in motor. These might include improvements in hyper-parameter tuning methods, model performance, model stability and feature explainability ...

leading rugby data and analytics business working with the biggest rights holders in the sport. Combining the sport’s most extensive database and unique predictive models with the expertise of our diverse team of data scientists, engineers and analysts, Oval provides unrivalled analysis and insight to clients around … will play a critical role in the growth of the business, with a particular focus on the operation of our global rugby pricing (odds‐modelling) service and strategy, as we continue to scale up our capability. This is a hands‐on leadership role combining: operational trading responsibility (pre‐match ...