10 of 10 Predictive Modelling Jobs in the North of England

ensure that you have read and understood the job description and person specification before applying. Person Specification Skills/Competencies Essential Advanced proficiency in predictive, prescriptive, and evaluative analytics, with a strong grasp of statistical modelling, and emerging analytical techniques. Expertise in relevant tools, applications, and systems (e.g. … promote analytical outputs. Skilled in identifying business issues, selecting appropriate analytical approaches, and guiding others in best practice. Technical knowledge of data architecture, data modelling and automation to support scalable and sustainable analytics. Ability to build and test scalable data pipelines from multiple data sources using an efficient ...

prepare data from multiple sources to ensure quality and accuracy. Apply statistical and analytical techniques to uncover insights and trends. Build and deploy predictive models using machine learning methods. Visualise data through clear, engaging dashboards and presentations. Work collaboratively with engineers, analysts, and business leaders to deliver impactful projects. ...

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 ...

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). LLM experience Strong problem-solving and collaboration skills. Ability ...

working with a high-growth business that is scaling its data function to the next level. Data scientists here have traditionally combined reporting with predictive modelling, but the business is now creating a dedicated leadership role to bring focus, structure and engineering rigour to the discipline. As Head ...

with social listening tools and voice of customer data Design and analyze A/B tests to optimize campaigns Partner with Data Science on predictive models (churn, propensity, scoring) Present insights to CMO, CRM Director, and Finance teams Manage team of 4 analysts - set direction, develop talent, show what … prescription refills) WHAT YOU NEED Essential: Strong SQL (querying large datasets, complex joins, optimization) Customer segmentation, LTV modeling, or RFM analysis experience Understanding of predictive models (churn, propensity, scoring) Power BI or Tableau for dashboards Team leadership or mentorship experience Confident C-suite communicator with energy and presence Highly ...

clear commercial advantage - improving efficiency, effectiveness, and results across channels. You will not run campaigns. You will shape how decisions are made, using insight, modelling, and experimentation to drive measurable growth for our clients. This is a senior, strategic role for someone who understands both advanced analytics and real … cross-channel measurement framework across PPC, SEO, Content and Outreach • Define and maintain a single source of truth for performance reporting • Lead attribution modelling and performance interpretation (accepting real-world limitations) • Translate complex data into clear, actionable insight for channel leads and clients • Design and deploy AI-driven models ...

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 ...

survey responses to identify behavioural trends and growth opportunities. Design and interpret customer satisfaction and advocacy surveys, applying sentiment analysis and key driver modelling to surface actionable insights Build dashboards and reporting frameworks linking Recall performance, satisfaction scores, and repeat purchase behaviour to commercial KPIs … teams and technical partners throughout the design and build of a new Customer Data Warehouse Support campaign targeting and personalisation through cohort analysis and predictive modelling. Maintain retention dashboards to track CLTV, recall conversion, repeat purchases, and churn risk. Collaborate with Marketing, Operations, Product, and Practice teams to inform ...

things customer insight: shaping strategy, driving adoption of actionable analytics, and leading a team of four analysts. Expect to get stuck into LTV modelling, segmentation, RFM frameworks, campaign optimisation, and partnering closely with Data Science to embed predictive insight across the customer lifecycle. What You’ll Bring Excellent … hands-on analytics capability Experience applying predictive models (no need to build from scratch) Broad research/insight toolkit Strong communication and stakeholder influence - you’ll need presence Ability to translate complex customer behaviour into clear, commercial action Apply via the link ...