126 to 150 of 160 Statistical Modelling Jobs in the UK excluding London

Pricing Analyst to join their Pricing and Proposition team within the Telematics Pricing function. The role will use behavioural data, advanced analytics and predictive modelling to shape pricing strategy, improve risk selection and drive portfolio performance. You will work closely with pricing and telematics specialists, using your technical expertise … Actuarial Science or a related quantitative discipline. Strong experience using Python and SQL with high-volume datasets in cloud-based analytics environments. Experience developing statistical and predictive models using GBMs, GLMs or similar techniques. Experience building and deploying predictive models using Python. RADAR experience is highly desirable. Good understanding ...

sources. Assess the quality, reliability, and commercial value of datasets to determine whether they are worth purchasing and integrating into products. Design and oversee statistical analysis, modelling, and time series research to validate potential data assets. Work closely with stakeholders across data, partnerships, and technology teams to develop … efficiency and quality. Your Skills & Experience Strong commercial experience in data science, statistics, quantitative research, or a related field. Python skills, with experience applying statistical analysis and time series techniques to complex datasets. Strong understanding of data quality assessment, feature engineering, and modelling. Strong communication skills with the ability ...

Somerset Bridge is seeking a Pricing Analyst to join our Retail Pricing team in Bristol. The role uses data analysis, statistical modelling and pricing insights to develop competitive, fair and profitable pricing strategies for motor insurance products. You will collaborate with Pricing Actuaries, Underwriting and IT to implement ...

consultancy projects for some of the UK's largest lenders and financial services organisations. You will build credit scorecards, develop lending strategies and create statistical models using Credit Reference Agency data to help decisions. This is a highly commercial, client-facing role where you'll own analytics projects from ...

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 ...

making a meaningful difference for our customers every day. Role Purpose The Senior Data Scientist will lead high-impact strategic projects across Market Modelling from discovery to implementation. The role will provide specialist resource across the Market Pricing teams, accelerating delivery and addressing priority challenges. The role will build … implement market models that improve price competitiveness, profitability and growth. This is a senior individual contributor role with ownership of complex modelling work and its delivery into live pricing. A key part of this role will be autonomous project management. Alongside this will be coaching and mentorship of junior ...

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 ...

generation through to evidence-based recommendations. Evaluate diverse structured and unstructured datasets to identify commercial opportunities. Establish and maintain high standards for data evaluation, statistical analysis, and technical excellence. Improve processes to increase the speed and accuracy of data source assessments. Partner with data acquisition teams to support data … automation to enhance research quality and efficiency. Your Skills & Experience Strong commercial experience leading data science, data research, analytics, or statistical research teams. Deep expertise in statistical analysis, data modelling, and working with complex real-world datasets. Advanced Python and SQL skills with the ability to review ...

analysis and visualization to translate complex, multi-dimensional datasets into high-impact, executive-ready insights, and then presenting to senior leadership. Quantitative KPI & SLO modelling to architect, establish, and continuously evolve the global KPI and Service Level Objective (SLO) frameworks for application stability, ensuring alignment with enterprise risk appetite … proven ability to leverage data technologies to modernize stability governance, automate manual reporting, and eliminate operational toil. Data Proficiency: Mastery of data transformation, statistical analysis, and predictive modelling using large, complex, and unstructured datasets. Technical Proficiency: Ability to leverage advanced Excel (VBA, Power Pivot) and executive presentation tools ...

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 ...

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 ...

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 ...

Client Analytics within Data and Analytics (D&A). You will lead analytical and consultancy projects, including the design and development of complex modelling assignments utilising CRA data. You will have frequent engagements with external customers/stakeholders and will manage multiple projects delivering revenue for Equifax UK. What … DoOur Associate Consultants are highly competent at developing statistical models, with hands on detailed analytic & modelling expertise, leveraging CRA data assets Responsible for supporting the delivery of analytical projects. This includes credit strategy development, scorecard and model development to required quality standards and project timescales. This will cover ...

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. ...

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 ...

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 ...

technical expertise. This role is based at our Canary Wharf office in London. 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 ...

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 ...

generate incremental lifetime value of our portfolio through the delivery and development of retail pricing models and optimisations using innovative and cutting-edge modelling approaches. You will help continuously improve the pricing process and enhance the abilities of the wider team, as well as being involved with integrating … establishing the use of advanced data science and statistical techniques to enhance pricing model accuracy and output. Key Responsibilities End to end production of pricing models using a tailor-made pricing pipeline Use of Earnix to build predictive statistical models and intelligently optimise customer prices Contribute and implement ...

generate incremental lifetime value of our portfolio through the delivery and development of retail pricing models and optimisations using innovative and cutting-edge modelling approaches. You will help continuously improve the pricing process and enhance the abilities of the wider team, as well as being involved with integrating … establishing the use of advanced data science and statistical techniques to enhance pricing model accuracy and output. Key Responsibilities End to end production of pricing models using a tailor-made pricing pipeline Use of Earnix to build predictive statistical models and intelligently optimise customer prices Contribute and implement ...

environment, including Regulatory Capital frameworks (Standardised and IRB), IFRS 9, and most importantly Model Risk Regulation (SS1/23). Proven experience validating complex statistical models using a range of techniques, including independent review, performance testing and challenger model development. Advanced analytical skills with strong proficiency in Excel … audiences. Deep expertise across the full data science lifecycle, with the ability to critically assess model design, performance and risk using a blend of statistical rigour, commercial awareness and regulatory knowledge. Degree level qualification in a mathematical, statistical, data science or other highly analytical discipline. What ...