426 to 450 of 464 Statistical Modelling Jobs in the UK

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/ ...

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 ...

About Football Radar Football Radar has been developing statistical models and analytical frameworks for football for more than 10 years. We provide advice to football clubs and are also a leading provider of betting advice. We combine the agility and ownership of a start-up with the stability … right answer. Curiosity about how data is used You do not need a data science background, but our platform exists to serve statistical models and research. You should be interested in how datasets will actually be used and willing to let that shape the systems you build. An interest ...

metric spaces, and multi-dimensional decision frameworks. Co-author and review peer-reviewed research papers targeting top AI, ML, and fairness venues. Advise on statistical and probabilistic modelling approaches — including drift detection, composite scoring, and distributional analysis across large interaction datasets. Review and validate quantitative methods, proofs … frame open questions, select methodologies, and position contributions within the existing literature. Engage with relevant prior work in areas such as knowledge graph embeddings, statistical learning theory, multi-criteria decision analysis, and AI safety. Required Skills & Experience Degree in Mathematics, Physics, or Computer Science at MSc or PhD level ...

Bring: -Degree in a technical or business subject - Strong knowledge of enterprise and projectrisk managementframeworks and standards - Highly numerate with experience of statistical and financial modelling (e.g. competence in quantitativerisk analysis, including Monte Carlo techniques) - Sound understanding of contingency setting and management aligned to risk exposure. - Experience translating ...

with the UNAIDS Reference Group We are seeking team members for two positions at Imperial College London for projects related to epidemiology, estimates, and modelling of the global HIV epidemic working closely with the UNAIDS Reference Group on Estimates, Modelling and Projections. Both positions are fixed-term … open to candidates at the postdoctoral and predoctoral level. The first position is for Research Manager for the UNAIDS Reference Group on Estimates, Modelling, and Projections, an international collaboration of experts on HIV epidemiology, surveillance, and modelling who provide scientific guidance to UNAIDS and partner organizations ...

Communicate time critical information to the traders Ensure compliance with regulatory requirements, including REMIT, through the consistent application of defined processes Main Development/Modelling Responsibilities The short-term power market analyst is responsible of the whole life cycle of an application or a model: from the research/… analyst is autonomous on his/her projects and is responsible of critical applications. Example of models/applications/solutions Fundamental and quantitative (statistical, data science driven) models to better anticipate market behaviour and improve price forecasting models. All components of the market could be addressed like load ...

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 ...