101 to 125 of 129 Statistical Modelling Jobs in the UK excluding London

quantum computing and communication, and many more. We believe that many obstacles in developing these technologies can be removed using a combination of simulation, statistical modelling and optimisation techniques. Founded in 2021, we have backing from investors in Silicon Valley, the UK, and the EU, and are contributing ...

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 ...

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 ...

experience guiding solutions architecture for production-grade AI/ML systems. Strong theoretical background in and practical experience using AI, machine learning, optimization, or statistical techniques. Experience assessing performance of machine learning methods and agentic systems: benchmark construction, metric design, and statistically sound measurement of quality, safety, and reliability. … range to grow into the rest. Depth in one or more research areas relevant to our work, e.g. LLM reasoning, reinforcement learning, machine learning, statistical modeling, or quantitative optimization. Academic publications, preprints, or open-source contributions. Experience building and deploying AI agents and agentic workflows using open-source frameworks ...

Analytics Consultant (Credit Risk, Modelling & Scorecards) One of the world most respected financial services companies (operates globally) requires an Analytics Consultant. As an Analytics Consultant you will play a pivotal role in Client Analytics within Data and Analytics. You will lead analytical and consultancy projects, including the design … development of complex modelling assignments utilising CRA data. You will have frequent engagements with external customers/stakeholders and will manage multiple projects delivering revenue. What You’ll Do Our consultants are highly competent at developing statistical models, with hands on detailed analytic & modelling expertise, leveraging ...

Join us at Barclays as a Data Modelling Vice President (VP). We’re looking for a senior Data Modeller to define, lead, and evolve the conceptual, logical, and physical data architectures that power our strategic data products across BUK. In this role, you’ll set the modelling … Engineering, Architecture, and Controls teams to build models that are robust, reusable, and ready for enterprise‐scale implementation. To be successful as a Data Modelling VP, you should have experience with: Leading the design and governance of enterprise‐grade conceptual, logical, and physical data models across large financial domains. ...

simple to understand, straightforward manner. Support model-related internal and external audits. What You’ll Need Knowledge of model validation techniques, including desktop reviews, statistical testing and challenger model development. An ability to critically analyse and validate complex statistical models across a range of business areas, utilising … balance of business and regulatory knowledge combined with statistical rigour. An understanding of the prudential regulatory environment, including Regulatory Capital frameworks (Standardised and IRB), IFRS 9, and most importantly Model Risk Regulation (SS1/23). Degree educated in a mathematical or analytical field. Experience of operating ...

such as scikit-learn, TensorFlow, or PyTorch, Proven ability to design and implement complex machine learning solutions and guiding best practice. Deep understanding of statistical analysis and probability theory. Demonstrable experience overseeing the implementation of highly accurate, computationally efficient, and scalable models for large-scale production environments. Track record … problems without prescriptive approaches. Overseeing advanced analysis of large datasets to derive actionable insights aligned with business objectives. Developing predictive models and algorithms using statistical techniques and machine learning. Conducting and supervising rigorous statistical validation of models against historical and live data. Collaborating with trading teams to incorporate ...

such as scikit-learn, TensorFlow, or PyTorch, Proven ability to design and implement complex machine learning solutions and guiding best practice. Deep understanding of statistical analysis and probability theory. Demonstrable experience overseeing the implementation of highly accurate, computationally efficient, and scalable models for large-scale production environments. Track record … problems without prescriptive approaches. Overseeing advanced analysis of large datasets to derive actionable insights aligned with business objectives. Developing predictive models and algorithms using statistical techniques and machine learning. Conducting and supervising rigorous statistical validation of models against historical and live data. Collaborating with trading teams to incorporate ...

commercial challenges into structured analytical problems and testable hypotheses. Explore complex behavioural and transactional data to find what others have missed. Develop and evaluate statistical and machine learning models. Build segmentation, propensity, forecasting and personalisation solutions that reach real customers. Apply rigour to feature engineering, validation and model performance. … grounding in statistics and machine learning. Experience developing and validating predictive models. Experience with customer, transactional, behavioural or digital data. Understanding of experimentation and statistical measurement. Analytical curiosity paired with pragmatic commercial judgement. The ability to explain complex analysis clearly and connect it to business action. Desirable Exposure ...

machine learning applications. Analyse complex datasets to uncover trends, patterns, and actionable insights that drive business or operational outcomes. Build, prototype, and evaluate statistical and machine learning models to solve real-world problems, testing feasibility and estimating impact before full deployment. Engineer and implement ML-based solutions, owning … ongoing monitoring. You are proficient in Python and its data/ML ecosystem (e.g. pandas, scikit-learn, PyTorch, TensorFlow), and you can apply statistical and machine learning techniques confidently in real-world settings. You have deployed models into live systems and understand how to make ML operational whether that ...

Analyst to join an established organisation in Derbyshire, offering a great opportunity for someone who wants to work across Power BI, data modelling, reporting and analytics . This is a hybrid role (1 day per week in the office) This isn’t just a case of producing reports … people make better, data-driven decisions . What will you be doing? Building and developing Power BI reports & dashboards Data extraction, transformation and data modelling Working with DAX & SQL Developing statistical models across sales & marketing data Managing and improving monthly reporting processes Identifying trends and translating them into ...

environment. Well versed in scalable data mining and machine learning techniques (using computers to improve as well as develop algorithms)Kernel Methods, Deep Learning, Statistical Relational Learning, Ensemble Methods Model using advanced statistical/mathematical models, predict and segment data to hypothesize/evolve uses cases to monetize ...

environment. Well versed in scalable data mining and machine learning techniques (using computers to improve as well as develop algorithms)Kernel Methods, Deep Learning, Statistical Relational Learning, Ensemble Methods Model using advanced statistical/mathematical models, predict and segment data to hypothesize/evolve uses cases to monetize ...

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 ...

data assets remain trusted over time. Conduct exploratory data analysis to surface patterns, gaps, anomalies and data-quality issues, and identify opportunities for analysis, modelling or product use. Develop, compare and validate appropriate statistical and machine-learning models for classification, ranking, recommendation, forecasting, anomaly detection, similarity or extraction ...

Using operational excellence to drive a culture of continuous improvement. Contributing to ad hoc projects, as requested, supporting the wider business through use of modelling and analytical techniques to implement solutions to commercial challenges facing the business. What we need from you Highly numerate with degree or equivalent … with good attention to detail. Ability to identify and work with imperfect/incomplete information and to use appropriate business rules and/or statistical/risk modelling techniques to manage uncertainty. Informal presentation skills and an ability to put across complex concepts clearly. Good interpersonal skills ...

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 ...

reports, conference presence, or leading-edge project work Strong applied psychometrics, including CTT and/or IRT, reliability and validity evidence, factor analysis, and statistical modeling Hands‐on technical proficiency in Python and/or R, and demonstrated fluency with current AI tools, including LLM APIs, prompt design … technical audiences Desirable: PhD in a relevant discipline Strong applied psychometrics, including CTT and/or IRT, reliability and validity evidence, factor analysis, and statistical modeling Front-end or interactive prototyping experience A record of published or applied research in assessment, measurement, or selection Closing Date: October ...

working on a Reinsurance Pricing Actuary opportunity within a specialist actuarial team, offering a great combination of pricing, modelling and technical development . The role will have a particular focus on treaty pricing , developing and maintaining models within Python and Tyche , alongside broader actuarial analysis and model development. … also work closely with underwriting, exposure and specialist teams to improve the modelling of complex risks and support wider business decision-making. Key areas of the role include: Treaty pricing and pricing model development * Building and enhancing models using Python & Tyche * Model validation, sensitivity analysis and governance * Developing ...

collaboration that comes from spending time together in the office. What You’ll Do as Senior Decision Scientist Build and deploy ML and statistical models for credit risk, affordability, and pricing Own the full model lifecycle, including data, feature engineering, modelling, validation, deployment and monitoring Develop monitoring frameworks ...

collaboration that comes from spending time together in the office. What You'll Do as Senior Decision Scientist Build and deploy ML and statistical models for credit risk, affordability, and pricing Own the full model lifecycle, including data, feature engineering, modelling, validation, deployment and monitoring Develop monitoring frameworks ...

deployment, monitoring and optimisation - while working closely with Data, Risk and Product teams. What you'll be doing Develop and deploy ML and statistical models across credit risk, affordability and pricing Own models end-to-end, including data, feature engineering, modelling, validation, deployment and monitoring Build model monitoring … governance/monitoring experience, and a strong commercial mindset with genuine ownership. If you're a Senior Data Scientist, Decision Scientist or Credit Risk Modelling specialist looking for a role where you can have real influence over SME lending strategy , I'd be keen to hear from you. Please ...

drive meaningful change and the autonomy to shape how cutting-edge analytical techniques are applied at scale. Key Responsibilities Devisingand overseeing the use of modelling and analytical techniques to identifyand implement cutting edge improvements to pricing algorithms. Actingas the key technical owner of specific models within the pricingalgorithm, responsible … escalating and owning anybreaches. Key Requirements Stronganalytical and interpretation skills underpinned by a numeric degree orequivalent experience, with strong data manipulation skills. Significantexperience delivering statistical models such as GLMs, GBMs or otherrelevant techniques. Experienceof WTW software, specifically Radar and Emblem, with exposure toDatabricks, SQL or Python also advantageous. Stronggovernance ...