7 of 7 Permanent Predictive Modelling Jobs in the North West

across the function. What you’ll be doing As Lead Data Scientist, you’ll combine deep technical work with strategic leadership: Design and deploy predictive models and ML solutions that power real-time markets. Work hands on with cutting-edge datasets, AI techniques, and scalable data pipelines. Identify patterns ...

opportunities Develop dashboards and reporting frameworks that track retention, conversion, and customer lifetime value Support campaign targeting and personalisation through segmentation, cohort analysis, and predictive modelling Evaluate campaign effectiveness through pre- and post-analysis, measuring uplift, ROI, and channel performance Lead on customer satisfaction and advocacy analysis, using ...

Haywards Heath (hybrid working) Role overview Markerstudy Group are looking for a 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 ...

within Markerstudy Retail, so will benefit from the support and expertise of the Personal Lines retail pricing team. You'll provide technical leadership on modelling and optimisation, champion best practices, and coach team members to introduce and embed sophisticated personal lines methodologies across our commercial products. Ultimately … pricing capability and ensuring we stay ahead in a fast moving market. What you'll do Lead the development and maintenance of predictive models (GLMs) and price optimisation techniques, including machine learning algorithms (GBM), Lifetime Value models (LTV), and fair pricing principles. Provide technical leadership on WTW Radar ...

Desirable Experience of supporting business case development or bid writing through data analysis. Knowledge of population health management approaches. Familiarity with demand and capacity modelling, service evaluation, or predictive analytics. Skills and Abilities Essential Strong practical EMIS Web data extraction and analytical skills. Advanced Microsoft Excel skills, including … effectively to changing organisational priorities. Desirable Experience of developing automated or semi-automated reporting solutions. SQL, R or Python. Statistical analysis and/or predictive modelling. Knowledge of population health management and healthcare commissioning. Qualifications Essential Degree in a numerate, analytical, health-related, or information-related subject, or equivalent ...

few. Role overview As a 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 ...

aligned discovery chemistry. You have a foot firmly planted in both domains and you know how to capture experimental design data to use as predictive model training, just as well as you know how to contribute directly to formulation development. You’re interested in the applications of digital chemistry … Process Intelligence Identify and implement AI-enabled tools and workflows across binder development and characterisation, including experimental design (DoE), data capture, automated analysis, and predictive modelling. Help the team digitise and structure experimental data to support machine learning and pattern recognition across formulation datasets Develop and optimise AI-assisted ...