7 of 7 Predictive Modelling Jobs in the Midlands

efficient data pipelines for automated data acquisition and processing.Design and conduct of statistical and machine learning models to analyse patterns, trends, and relationships in the data.Development and implementation of predictive models to forecast future outcomes and identify potential risks and opportunities.Collaborate with business stakeholders to seek out opportunities to add value from data through Data Science.Assistant Vice President ExpectationsAdvise More ❯

pipelines for automated data acquisition and processing. Design and conduct of statistical and machine learning models to analyse patterns, trends, and relationships in the data. Development and implementation of predictive models to forecast future outcomes and identify potential risks and opportunities. Collaborate with business stakeholders to seek out opportunities to add value from data through Data Science. Assistant Vice More ❯

client is a fast-growing financial services organisation seeking a Lead Data Scientist to join their data and analytics team. This is a hands-on role focused on developing predictive models, deploying autonomous decisioning frameworks, and driving innovation across the customer lifecycle. The successful candidate will work closely with cross-functional teams to deliver data-driven solutions in fraud … a commercially experienced data scientist to take ownership of key initiatives and shape the future of data science within a forward-thinking environment. Role and Responsibilities: * Develop and deploy predictive models to improve customer outcomes across multiple business areas. * Lead model implementation and policy setting to support autonomous decision-making. * Design and execute test-and-learn strategies to inform … and innovation using data. Key Skills and Experience: * 5+ years of experience delivering end-to-end data science solutions in a commercial setting. * Strong technical expertise in machine learning, predictive modelling, and AI. * Proficient in Python, R, SQL, and familiar with Power BI or similar visualisation tools. * Experience applying Gen AI tools or techniques is highly desirable. * Solid More ❯

or equivalent practical experience. Nice-to-have skills: SQL/BigQuery knowledge and an understanding of database principles. Familiarity with Qlik Sense or Qlik View. Experience in campaign evaluation, predictive modelling, or operational research. Benefits include: Competitive salary Free onsite parking 31 days' holiday (including bank holidays), with the option to buy or sell. Private medical cover, health More ❯

understand objectives and translate them into scalable AI models ️ Architect data pipelines to support machine learning workflows and model deployments ️ Evaluate and implement deep learning, computer vision, NLP, and predictive modeling solutions ️ Conduct risk assessments on AI implementations and mitigate compliance or ethical concerns ️ Partner with DevOps to integrate AI models into production systems with CI/CD ️ Define More ❯

owners, and data scientists to translate customer engagement goals and business requirements into effective and scalable decisioning frameworks. * Defining Policies & Rules: Define and implement engagement policies, arbitration rules, and predictive models to optimize customer interactions across various channels. * Data Integration: Ensure seamless integration with enterprise systems, including CRMs, data warehouses, marketing platforms, and third-party tools to support the … Designer, including configuring arbitration, taxonomy, and strategies. * Model Management: Work hands-on with Pega's Adaptive Decision Manager (ADM) and Prediction Studio to create, monitor, and optimize adaptive and predictive models. * Data Flows & Sets: Develop and configure data flows, data sets, and data transform rules to support the decisioning and reporting requirements. * Troubleshooting & Performance: Actively participate in performance tuning More ❯

owners, and data scientists to translate customer engagement goals and business requirements into effective and scalable decisioning frameworks. * Defining Policies & Rules: Define and implement engagement policies, arbitration rules, and predictive models to optimize customer interactions across various channels. * Data Integration: Ensure seamless integration with enterprise systems, including CRMs, data warehouses, marketing platforms, and third-party tools to support the … Designer, including configuring arbitration, taxonomy, and strategies. * Model Management: Work hands-on with Pega's Adaptive Decision Manager (ADM) and Prediction Studio to create, monitor, and optimize adaptive and predictive models. * Data Flows & Sets: Develop and configure data flows, data sets, and data transform rules to support the decisioning and reporting requirements. * Troubleshooting & Performance: Actively participate in performance tuning More ❯