8 of 8 Permanent Predictive Analytics Jobs in Scotland

seeking an inquisitive and impact-driven Data Scientist to join our Analytics team. In this role, you won't just build models—you will translate complex, unstructured data into actionable strategic directions that drive our core business forward. You will partner closely with Product, Engineering, Marketing, and Operations … build predictive frameworks, and discover growth opportunities. Key Responsibilities Experimentation & A/B Testing: Design, execute, and analyze rigorous A/B and multivariate tests to measure feature performance, user retention, and business impact. Predictive Analytics & Machine Learning: Build, validate, and maintain scalable predictive models (e.g. ...

optimize the branch, improve operational efficiency and maximize self-service availability for financial institutions and retailers across the globe. Title: SW Engineer III - Data Analytics & Insights Location: Dundee (Hybrid) Grade: 11 Salary: £48,000 p/a (DOE) Key Areas of Responsibility Design, develop, and maintain enterprise reporting … analytics solutions using Microsoft Power BI and Microsoft Fabric. Build scalable data models, semantic models, dashboards, and self-service reporting capabilities. Develop Python-based data processing and automation solutions to ingest, transform, validate, and analyze large datasets. Collaborate with engineering and business stakeholders to identify performance trends, operational opportunities ...

optimize the branch, improve operational efficiency and maximize self-service availability for financial institutions and retailers across the globe. Title: SW Engineer III - Data Analytics & Insights Location: Dundee (Hybrid) Grade: 11 Salary: £48,000 p/a (DOE) Job description Design, develop, and maintain enterprise reporting and analytics … business stakeholders to identify performance trends, operational opportunities, and actionable insights. Create data pipelines and workflows that support operational monitoring, anomaly detection, service analytics, and business intelligence initiatives. Integrate data from multiple enterprise systems including Azure, SQL databases, APIs, cloud platforms, and operational systems. Establish and maintain data quality ...

crucial role in shaping our data strategy, working across multiple departments to design and implement a robust data ecosystem that supports our business intelligence, analytics, data apps, AI and data science initiatives. The ideal candidate will have a deep understanding of data warehousing best practices, data modeling techniques … with data privacy, security, and regulatory requirements. Support audit and risk management activities related to data management. Design data structures that support reporting, dashboards, predictive analytics, and AI initiatives, including the support and design of a Universal Semantic Layer. Collaborate with Data Engineers, Data Analysts, and Business Intelligence ...

Media is seeking a data scientist to translate complex data into actionable strategies. You will partner with Product, Engineering, Marketing, and Operations to build predictive frameworks and uncover growth opportunities. Responsibilities include experimentation, predictive analytics, EDA, feature definition, and cross-functional collaboration. The role also involves designing ...

offering a Data Analyst Apprenticeship for 18 months beginning September 2027. The programme funds your qualification and provides hands‐on experience with large datasets, predictive analytics, and data visualization. You’ll learn SQL, Python, forecasting, and data storytelling while building real dashboards for stakeholders. You’ll need ...

Manager, Commercial Director, Head of UK, Business Development, B2B Sales, Enterprise Sales, Consultative Selling, Go-to-Market, Fintech, SaaS, Payments, Open Banking, SME Banking, Predictive Analytics, AI, Partnerships, Pipeline Development, Commercial Leadership, Scaleup, Growth Stage, Startup, Edinburgh, Scotland, International Expansion #J-18808-Ljbffr ...

traces and telemetry. Establish operational insight models that support proactive decision-making and enable advanced capabilities including anomaly detection, event intelligence, noise reduction and predictive operational analytics.• AI Operations & Service Reliability: Apply reliability engineering principles to AI-enabled services, monitoring AI-specific failure modes such as data quality degradation … engineering. • Strong understanding of AI governance, responsible AI, regulatory requirements and model risk management. • Experience implementing observability strategies using modern monitoring, telemetry and operational analytics platforms. • Demonstrated ability to advise senior stakeholders and lead multidisciplinary transformation programmes. • Experience working across hyperscaler ecosystems including Azure, AWS and Google Cloud Platform. ...