401 to 425 of 461 Statistical Modelling Jobs in the UK

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 ...

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. ...

will deploy models from research to production within an engineering framework, collaborating across teams and contributing to client pricing tasks. The role combines rigorous statistical modelling with production code, offering peer reviews, talks, and opportunities for further education. Prior market making experience is highly valued. #J-18808-Ljbffr ...

Role We are looking for a biostatistician with expertise in Bayesian modelling to work on probabilistic modelling of physiological data and medical risk. The role focuses on developing statistical frameworks that combine multiple data sources to estimate the probability of life-threatening deterioration and support triage prioritisation. … engineers, medical advisors, and the product team to design models that operate in real-world environments with noisy and incomplete data. Responsibilities Develop Bayesian statistical models to estimate physiological deterioration risk from multi-sensor data Build probabilistic frameworks integrating vital signs, haemodynamic indicators, motion data, and environmental variables Design ...

expand into wastewater, bioresources and energy Responsibilities Drive customer and stakeholder satisfaction through proactive understanding of client business requirements Lead workshop sessions to determine modelling requirements Collaborate on systems planning and efficiency optimisation Learn BMA's core technologies and the proprietary DecisioTM platform Gather, transform, and validate data … client requirements Participate in system development, testing, deployment, and feedback Bachelor's degree, or higher, in Mathematics, Engineering, Water Engineering, Water Sciences, Data Science, Statistical/Decision Sciences, or a STEM equivalent Proficiency in advanced analytics and data science: statistical analysis, forecasting, predictive modelling, and optimisation algorithms ...

capabilities that support reinsurance placements, portfolio optimisation and client strategy. This is an opportunity for a technically strong actuary to combine pricing expertise, catastrophe modelling knowledge and commercial insight in a highly visible role at the heart of the treaty reinsurance market. Key Responsibilities Lead pricing and portfolio analytics … Property Risk XL, Catastrophe XL, Retrocession and ILW business. Apply experience, exposure and catastrophe modelling techniques to assess risk and pricing adequacy. Evaluate treaty structures including attachments, limits, reinstatements, hours clauses and aggregate features. Provide insight on catastrophe model output, model uncertainty and non-modelled exposures. Support the design ...

issues Understanding of balance sheets and regulatory capital requirements would be an added advantage 6-10 years experience in financial industry using tools for statistical modeling of large data sets Skills: Very strong SQL and Python skills required Previous experience with streamlit will be an advantage Strong analytical … detail. Demonstrable team skills both within and across teams. Ability to pick up new concepts and think outside the box. Preferably comfortable with derivatives modelling concepts. Education: Bachelor’s/University degree or equivalent experience, potentially Masters degree What Citi Can Offer You By joining Citi London, you will ...

Junior Data Scientist - Sales & MarketingHybrid in London, United Kingdom We’re looking for a Junior Data Scientist You'll design experiments and build the statistical models that shape how the company reaches new customers. You'll practise mastery of your craft, mentored by the team's data scientist, with … work with people across each function. The role As a Data Scientist in the Direct Acquisition team, you'll design experiments and build the statistical models that shape how the company reaches its next customers. Your findings feed directly into how we invest in sales and marketing. ...

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 ...

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 ...

Strong commercial experience, using data to solve real business and product problems Experienced working closely with Product and/or Growth teams Strong across statistical analysis, experimentation, modelling, and data-driven decision making Comfortable taking ambiguous commercial problems and turning them into clear analytical approaches An excellent communicator ...

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 ...

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 ...

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 ...

pipelines that sit at its core Design and build production identity resolution pipelines, working closely with the Data Scientist to translate matching logic and statistical models into robust, scalable production code Own ETL/ELT and reverse-ETL orchestration, ensuring reliable, well‐governed data flow from source systems into … frequency and volume increase Build and maintain the CI/CD pipelines and engineering practices (with the freelance Lead Developer) that support Atlas's modelling, forecasting and MMM automation Support productionisation of propensity, forecasting and MMM outputs (e.g. XGBoost, AutoGluon/Chronos, Meridian) built by the Data Scientist, ensuring ...

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 ...

stakeholdersProvide feedback on tools and help provide specifications for new toolsQualifications: The candidate must be able to demonstrate expertise in quantitative analysis techniques including statistical analysis, experience working with market data and large data sets programmatically, and strong analytical skills. Additionally, the candidate should have experience with financial data … through an advanced degree (PhD or Masters) in sciences/math/quantitative discipline and/or practical experience applying quantitative finance theoryExperience implementing statistical modelsUnderstanding of factor models and their applicationsAttention to detail and passion/grit for getting things done, digging into problems, and helping develop solutionsSense ...

from the ground up for the newly launching DFS product. Experimentation & Impact: Measure the incrementality and impact of new features through rigorous experimentation and statistical modeling. Strategic Partnership: Act as the primary data partner for the Principal Product Manager and the CPO of FMX, providing insights that directly shape … experience with dbt for data modeling are essential. Tooling: Expertise in cloud data warehouses such as Snowflake or Databricks. Proficiency in Python is preferred. Statistical Rigor: Strong understanding of statistical concepts, multivariate testing, and experimentation frameworks. Communication: Ability to present complex technical insights to non-technical senior stakeholders ...

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 ...