376 to 400 of 416 Statistical Modelling Jobs in England

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 ...

Jump Trading probe and examine the global markets, seeking to understand the complexities of various traded products and exchanges. They leverage their impeccable statistical analysis and data mining skills, using the results of their research to make forecasts and develop profitable predictive trading models. What You'll Do: Quantitative … collect and analyze tens of thousands of data sets, identify patterns and extract insights into the complexities in financial markets. Researchers lean heavily on statistical analysis, machine learning, and data engineering skills; applying the results of their research to forecasts and predictive trading models. Jump’s Quantitative Researchers ...

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 ...

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 ...

insights and personalisation. The Opportunity: The role will work with our product, engineering and customer success teams. It requires direct expertise with deep learning statistical models that power AI, such as Transformers, and is focused on providing the quality of predictive and prescriptive insight that our customers need … part of our product and engineering pods Knowledge and experience of building and evaluating machine learning models in areas such as clustering, sequence modelling, transformers, and other natural language processing and deep learning. Experience working closely and collaboratively with internal and external business stakeholders to understand their needs Passionate ...

analyze current business processes and to support continuous process improvements Identify opportunities for improvement through data - setting targets, understanding drivers, assessing performance, and modelling scenarios Present results back to the business in a structured, data-driven manner - simplifying complex concepts for non-technical audiences Use a problem-solving approach … Technical skills - advanced SQL skills and competence in use of analytical tools including Excel, Salesforce, Tableau, etc. Experience with one or more of the statistical modeling languages/toolboxes such as R, SAS, SPSS, Matlab, or Python is a plus Analytical Mindset- a problem solving approach that gets ...

reporting tools to analyze current business processes and to supportcontinuous process improvements• Identify opportunities for improvement through data - setting targets, understandingdrivers, assessing performance, and modelling scenarios• Present results back to the business in a structured, data-driven manner - simplifyingcomplex concepts for non-technical audiences• Use a problem-solving approach … Technical skills - advanced SQL skills and competence in use of analytical tools includingExcel, Salesforce, Tableau, etc. Experience with one or more of the statistical modelinglanguages/toolboxes such as R, SAS, SPSS, Matlab, or Python is a plus• Analytical Mindset- a problem solving approach that gets to the underlying ...

support hedging strategies for retail energy supply Analyze market data to optimize the performance of physical assets such as solar and wind farms Conduct statistical and scenario-based modeling to inform trading and risk management decisions Monitor power markets, pricing trends, and regulatory developments to identify risks and opportunities … related role in energy, trading, or analytics Strong proficiency in Python, with experience using libraries for data analysis, modeling, and visualization Solid understanding of statistical modeling, optimization, and analysis techniques Experience working with time series or market data, preferably in energy or commodities markets Strong problem-solving skills ...

meetings. Be a key part of the health data team and form project teams in a matrix-working environment. This will also include role modelling the Macmillan values About you A good understanding of the UK’s health and social care system and the data that reports on care … registry data. Analytical and programming skills; experience using Excel and R, to extract, transform and interrogate large datasets for insight generation. Knowledge of advanced statistical techniques such as modelling, predictive analytics and machine learning techniques. Significant knowledge and experience of a range of mixed methods research and other ...

North East’s emerging semiconductor cluster. They are now searching for a Manufacturing Engineer to provide manufacturing/industrial engineering expertise, using capacity modelling, data analysis and continuous improvement techniques to optimiseWIP flow, cycle time, equipment utilisation, throughput and delivery performance. Key Responsibilities Maintain and improve the fab capacity … using Lean/Six Sigma and structured problem-solving methods Experience & Qualifications 2+ years’ experience in Semiconductor, Electronics or Automotive manufacturing, particularly in: Capacity modelling Operations optimisation Data analysis Continuous improvement Bachelor’s degree in Engineering plus 3 years’ industry experience, or equivalent proven industry experience Lean/ ...

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 ...

working on a Reinsurance Pricing Actuary opportunity within a specialist actuarial team, offering a great combination of pricing, modelling and technical development . Is this the next step in your career Find out if you are the right candidate by reading through the complete overview below. The role will … Python and Tyche , alongside broader actuarial analysis and model development. You'll 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 ...

leading sports analytics firm in London is seeking a Senior Data Scientist specializing in cricket modelling and simulation. The successful candidate will perform statistical analysis, develop predictive models, and ensure the data's robustness and validity. A PhD or equivalent industry experience is required, along with proficiency ...

their experience, technical depth and scope of impact. A day in the life Take ambiguous credit-related questions from stakeholder discussion through to practical modelling and analysis Build, improve and maintain models that support consumer-credit decisions Work on flagship risk models and broader value-driver models, including revenue … profit prediction and customer lifetime value Use Python and sound statistical judgement to develop classification and regression solutions Partner with Credit Strategy to understand priorities and create useful, well-framed solutions Collaborate with Product and Engineering to sequence work and support productionisation Explain technical choices clearly, build consensus where ...

Azure ML or Databricks experience for model lifecycle management• Regulatory knowledge in at least one sector: financial services (preferred), healthcare, insurance or utilities• Strong statistical knowledge: model validation methodology, bias metrics, performance measures and statistical testing• FRM, CFA, PRM or equivalent quantitative qualification is advantageous• FCA/ ...