16 of 16 Permanent Statistical Modelling Jobs in Scotland

experienced data science leader who combines strong technical capability with excellent communication and stakeholder management skills. Deep expertise in applied data science, statistical modelling, machine learning, experimentation, decision science, optimisation and advanced analytics Experience leading complex data science initiatives from concept through to delivery A strong understanding … predictive modelling, machine learning and modern AI techniques Experience working with Generative AI, LLMs or related AI technologies Ability to communicate complex technical concepts to non-technical and senior audiences Strong stakeholder management skills, up to exec level Experience coaching and mentoring team membersIn-depth understanding of responsible ...

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 ...

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. ...

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 ...

date with emerging trends and tooling and sharing updates within and outside of the team. You’ll also be responsible for: Proactively bringing together statistical, mathematical, machine-learning and software engineering skills to consider multiple solutions, techniques, and algorithms Implementing ethically sound models end-to-end and applying software … hold an undergraduate or a master’s degree in a quantitative discipline, or evidence of equivalent practical experience. You’ll also need experience with statistical software, database languages, big data technologies, cloud environments and machine learning on large data sets, along with experience of developing and managing the full ...

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 ...

Trustpilot in Edinburgh is seeking a Lead Pricing & Monetization Analyst to join our GTM Analytics team. This senior, individual contributor role bridges statistical modeling and strategic GTM execution in a B2B SaaS environment. You’ll analyze pricing architectures, monetize initiatives, build analytics infrastructure with R/Python, Looker dashboards ...

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 ...

Trustpilot is seeking a Lead Pricing & Monetization Analyst to join the GTM Analytics team in Edinburgh. The role blends advanced statistical modeling with strategic GTM execution in a B2B SaaS environment. You will analyze the revenue engine, refine pricing architecture, and monetize strategies to maximize commercial impact, partnering cross ...

data visualization and reporting Strong analytical and problem‐solving abilities Experience with data interpretation and delivery of reports Strong SQL Server experience Knowledge of statistical analysis and modelling Excellent communication skills for presenting findings Due to the growth of the business, the demand for reporting has increased ...

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 ...

Market (GTM) Analytics team. This is a high-impact, individual contributor role designed for a seasoned expert who can bridge the gap between complex statistical modeling and strategic GTM execution in a B2B SaaS environment. Your mission is to help us answer critical questions about our go-to-market … Partner with product and commercial leadership to evaluate pricing, packaging strategies, analyzing discount behaviors and tracking the financial performance of new monetization initiatives. Advanced Statistical Analysis: Design and execute complex analyses, including cohort analysis, customer segmentation (clustering), and predictive modeling to identify growth levers. Tool & Capability Development: Build ...

Description 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 expertise. Collaboration with 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 with technology to operationalise them. Provision of ongoing support ...

Outside IR35 Glasgow based, with hybrid working Starting September 2026 Initial 14-week contract, with potential to extend What you’ll do Define clean, modelling-ready datasets andbuild robust validation around them Train and optimise models across multiple B2B datasets, including ranking andweighting Build scoring outputs, reporting and visualisations … from prototype through to production Strong experience with Google Cloud Platform, BigQuery and Vertex AI Strong Python and SQL skills Experience in feature engineering, statistical validation and modelevaluation Comfortable working with messy, imperfect real-world data rather than cleanbenchmark datasets Able to explain model outputs clearly to both technical ...