18 of 18 Statistical Modelling Jobs in Scotland

capabilities that support stronger commercial decision-making and enhance products used by client-facing teams. As a Senior Data Scientist, you will apply advanced statistical techniques, machine learning methods, and analytical approaches to solve complex business problems and deliver actionable insights that guide business strategy. Working across areas such … forecasting, recommendation systems, network intelligence, experimentation, and predictive modelling, you will lead the design, development, evaluation, and deployment of scalable solutions that create measurable business impact. You will work closely with business stakeholders, Product, Engineering, and Data teams to identify opportunities, shape problem definitions, and translate business challenges into ...

capabilities that support stronger commercial decision-making and enhance products used by client-facing teams. As a Senior Data Scientist, you will apply advanced statistical techniques, machine learning methods, and analytical approaches to solve complex business problems and deliver actionable insights that guide business strategy. Working across areas such … forecasting, recommendation systems, network intelligence, experimentation, and predictive modelling, you will lead the design, development, evaluation, and deployment of scalable solutions that create measurable business impact. You will work closely with business stakeholders, Product, Engineering, and Data teams to identify opportunities, shape problem definitions, and translate business challenges into ...

capabilities that support stronger commercial decision-making and enhance products used by client-facing teams. As a Senior Data Scientist, you will apply advanced statistical techniques, machine learning methods, and analytical approaches to solve complex business problems and deliver actionable insights that guide business strategy. Working across areas such … forecasting, recommendation systems, network intelligence, experimentation, and predictive modelling, you will lead the design, development, evaluation, and deployment of scalable solutions that create measurable business impact. You will work closely with business stakeholders, Product, Engineering, and Data teams to identify opportunities, shape problem definitions, and translate business challenges into ...

capabilities that support stronger commercial decision-making and enhance products used by client-facing teams. As a Senior Data Scientist, you will apply advanced statistical techniques, machine learning methods, and analytical approaches to solve complex business problems and deliver actionable insights that guide business strategy. Working across areas such … forecasting, recommendation systems, network intelligence, experimentation, and predictive modelling, you will lead the design, development, evaluation, and deployment of scalable solutions that create measurable business impact. You will work closely with business stakeholders, Product, Engineering, and Data teams to identify opportunities, shape problem definitions, and translate business challenges into ...

capabilities that support stronger commercial decision-making and enhance products used by client-facing teams. As a Senior Data Scientist, you will apply advanced statistical techniques, machine learning methods, and analytical approaches to solve complex business problems and deliver actionable insights that guide business strategy. Working across areas such … forecasting, recommendation systems, network intelligence, experimentation, and predictive modelling, you will lead the design, development, evaluation, and deployment of scalable solutions that create measurable business impact. You will work closely with business stakeholders, Product, Engineering, and Data teams to identify opportunities, shape problem definitions, and translate business challenges into ...

modern cloud engineering practices. Wherever you land,you’llbe working with some of the biggest datasets in the UK — using everything fromSpark and statistical methodsto domain knowledge and emergingGenAIapplications. The work you could be doing Cloud-native AI engineering and large-scale data platforms , leveraging Google Cloud technologies … modern coding practices to design, build and deploy intelligent solutions, helping the Bank innovate rapidly and deliver value at scale. Advanced analytics, statistical learning and decision intelligence , applying quantitative techniques to uncover patterns, generate insights and optimise outcomes, enabling more informed decisions for both the business and its customers. ...

both the Solvency II Internal Model and other critical Models and User Developed Applications within the business , including pricing models and operational risk modelling . The team also has responsibility of the company Solvency UK compliance framework, ensuring the business adheres to the relevant regulatory requirements including … development Awareness of external developments and ability to identify , recommend and implement i mprovements to processes and policies in line with these d etailed statistical knowledge Experience statements: (Essential) Experience in actuarial and statistical modelling Experience in model risk and governance Experience of providing constructive challenge ...

manufacturing analytics. Experience extracting data from REST APIs. Knowledge of MongoDB or another NoSQL database. Experience using Python or R for analysis, automation or statistical modelling. Experience in demand forecasting, stock optimisation or customer segmentation. Applicants must be 18 years old or above, any subsequent job offer is subject ...

contractor to help design, build and deliver capabilities within a complex Financial Services environment. The role combines full stack engineering, data-driven analysis and statistical modelling to turn pricing insights into scalable, reliable solutions that support effective business decision-making. You will work across front-end and back … creating intuitive user interfaces, robust services and integrations that distribute agreed pricing into wider organisation and sourcing systems. You will collaborate closely with engineering, modelling and business stakeholders to improve existing applications and deliver new capabilities. Key Responsibilities Design, build and deliver pricing optimisation and distribution capabilities using financial ...

Commercial Targeting and Modelling Manager Required to be based in either London, Coventry or Glasgow. As a Barclays Commercial Targeting and Modelling Manager, you will have responsibility for a named business line, and will drive the marketing strategy for customer contacts to deliver near-perfect/relevant targeting … relationships with the Product and Channel teams to drive through plans and strategy. Communicating the recommendations of analysis to senior stakeholders to maximise performance. Statistical modelling to enhance the marketing campaign touchpoints. Qualifications Analytical experience, preferably within the financial services, products or segments, digital or Telco industries. Excellent ...

datasets to identify trends, user behavioral patterns, operational bottlenecks, and unexpected growth opportunities. Features Definition & Measurement: Establish and standardize key features to track for modelling and customer data platform. Cross-Functional Strategy: Partner with product managers, executive leadership, and business stakeholders to turn open-ended questions into structured quantitative … governance standard practices. Qualifications & Skills Advanced SQL: Highly proficient in writing optimized, complex queries across large cloud data warehouses (e.g., Snowflake, BigQuery). Programming & Modelling: Strong proficiency in Python for statistical modeling, forecasting, and machine learning. Statistics & Math: Deep understanding of statistical inference, regression analysis, probability theory ...

exciting opportunity for an experienced engineer to work on challenging perception and intelligence problems, applying techniques across AI, computer vision, image processing, and statistical modelling. You will play a key role in developing algorithms that enable systems to better detect, interpret, and respond to their environment. The successful candidate … work, successful applicants will be required to obtain UK Security Clearance. Desirable Experience Experience with any of the following would be beneficial: Statistical modelling, Bayesian methods, uncertainty estimation, or probabilistic techniques. Synthetic data generation, multi-modal AI, or action recognition. Machine learning development tools, experiment tracking, dataset management ...

varied range of complex questions, using data to identify trends, differences and potential future trends and outcomes. You'll use a range of statistical techniques to investigate complex datasets and answer challenging research questions. This could include building models to understand and predict outcomes, applying Bayesian methods, testing statistical … contributor, taking unclear questions, determining the appropriate data and analytical approach, and communicating findings clearly to non-technical stakeholders. Key skills: ** Strong quantitative and statistical analysis experience ** Bayesian modelling and statistical validation ** Python or R ** Predictive modelling, forecasting and segmentation ** Experience working with large, complex datasets ...

Barclays is seeking a Financial Crime Data Analyst based in Glasgow to design, develop and maintain statistical and ML models for decision support in financial crime domains. You will collect and clean data from multiple sources and ensure high data quality for robust model development. You will monitor model ...

complex, regulated environments; experience in Financial Crime or related risk domains is advantageous. Purpose of the role To design, develop, implement, and support mathematical, statistical, and machine learning models and analytics used in business decision-making Accountabilities Design analytics and modelling solutions to complex business problems using domain … technology to specify any dependencies required for analytical solutions, such as data, development environments and tools. Development of high performing, comprehensively documented analytics and modelling solutions, demonstrating their efficacy to business users and independent validation teams. Implementation of analytics and models in accurate, stable, well-tested software and work ...

Description Purpose of the role To design, develop, implement, and maintain various statistical, mathematical and machine learning models to support decision-making by analysis and solving complex problems. Accountabilities Acquisition and collection of data from various sources, including internal databases, external datasets, and real-time feeds. Performing data cleaning … quality and suitability for model development. Design and implementation of data management strategies for model maintenance and future development. Designing, development, and implementation of statistical and machine learning models for various applications, including credit risk assessment, fraud detection, customer segmentation, and marketing optimisation. Monitoring model performance in real-time ...

DescriptionPurpose of the roleTo design, develop, implement, and maintain various statistical, mathematical and machine learning models to support decision-making by analysis and solving complex problems. AccountabilitiesAcquisition and collection of data from various sources, including internal databases, external datasets, and real-time feeds. Performing data cleaning and pre-processing … quality and suitability for model development. Design and implementation of data management strategies for model maintenance and future development. Designing, development, and implementation of statistical and machine learning models for various applications, including credit risk assessment, fraud detection, customer segmentation, and marketing optimisation. Monitoring model performance in real-time ...

seekers and recruiters, ensuring high performance, scalability, and reliability at global scale. Our ideal candidate has a strong scientific foundation and experience of statistical analysis and model building and has a passion for fairness and explainability in ML systems. Collaborate with engineers, scientists, and product managers to define requirements … that improve hiring outcomes across both industry and student requisitions worldwide. Basic Qualifications Experience in solving business problems through machine learning, data mining and statistical algorithms Experience programming in Java, C++, Python or related language Speak, write, and read fluently in English Preferred Qualifications PhD in computer science, machine ...