176 to 200 of 416 Statistical Modelling Jobs in England

engage with clients to help them understand the implications and make plans to act on them. What you'll do: Develop and apply advanced statistical models that help clients understand dynamic business issues. Leverage analytic techniques to use data to guide client and ZS team decision-making. Use tools ...

clear results orientation with an intense focus on achieving short and long‐term goals in an uncertain and fluid environment. Working knowledge of statistical model building, SQL querying, market research, or consulting. Where and how you'll work This is a permanent position based in our London office. ...

Languages: English (Required); Spanish or experience working across international teams (Preferred) Hard Skills: Strong knowledge of machine learning, natural language processing, generative AI, experimentation, statistical analysis and model evaluation (Required) Experience owning a digital, data or AI product through its full lifecycle, including product strategy, roadmap management, backlog prioritisation ...

design of data specifications, field mappings, and data quality assessments for pricing and rating factor datasets. Assist in the design and validation of modelling datasets and analytical frameworks that support statistical pricing models (e.g., GLMs). Prepare clear, concise analytical outputs and presentations suitable for both technical ...

Data Scientist. This builds on the knowledge of the Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply … mathematical and statistical methods appropriately. Step 5 is not a requirement for our job guarantee as this stage is designed to advance your data career to the next level. Our money back guarantee If after 1 year of passing your formal qualifications, we have been unable to help ...

Moody's Investors Service in Greater London is seeking a candidate to develop statistical models for tropical cyclone risk assessment. The ideal candidate will have a PhD in a relevant field and strong skills in statistical modelling and programming (Python, R, or Julia). Responsibilities include conducting … research on tropical cyclone behavior, collaborating with cross-functional teams, and implementing advanced modelling methodologies. Join a dedicated team advancing catastrophe modelling and climate risk analytics in a multidisciplinary environment. #J-18808-Ljbffr ...

Senior Operations Performance Analyst We are recruiting a Senior Analyst with exemplary data modelling and analytical capabilities; coupled with the ability to present and communicate performance trends, root causes of performance variances against KPI’s and build detailed and robust data models to highlight improvement initiatives and performance enhancements. … technical expert in the application and use of Excel, SQL, Power BI and Power Platforms. Experience with Tableau is advantageous as is experience of statistical and machine learning techniques such as time series analysis and forecasting. Interested applicants MUST possess advanced Excel & Power BI skills, be highly proficient with ...

Python and R,) and machine learning techniques. The Data Scientist shall perform the following tasks: Interpret and analyze data using exploratory mathematic and statistical techniques based on the scientific method. Coordinate research and analytic activities utilizing various data points (unstructured and structured) and employ programming to clean, massage … opportunities. Develop predictive and prescriptive modeling, natural language processing (NLP), Robotic Process Automation (RPA), text mining and processing, clustering, forecasting methods, and other advanced statistical techniques. Design and automate processes to facilitate the manipulation and analysis of data. Manage and integrate data across dissimilar data sets. Analyze large-scale ...

models, continuously refining them by incorporating new data to improve accuracy. Build and improve churn prediction models to proactively identify at‐risk subscribers, using statistical or machine learning techniques as needed. Work with large subscription and engagement datasets to calculate LTV and churn while accounting for promotional pricing, seasonality … worked with BI and data visualization tools, ideally Looker Studio, to build dashboards and reports that track KPIs over time. You are familiar with statistical analysis and predictive modeling concepts such as cohort analysis, regression, survival analysis, experimentation, and churn prediction, even if you are not a dedicated data ...

process more than 1.5 million bets per hour at peak. Job Description As a Data Scientist, you will develop machine learning solutions and perform statistical analysis to inform strategic, data-driven business decisions and initiatives. Our Data Analytics team monitors, analyses, and optimises key performance indicators across our range … depth exploratory data analysis to uncover hidden patterns, identify trends, and generate actionable insights that inform strategic business decisions. Developing and deploying robust statistical and machine learning models to address complex business challenges and drive innovative solutions. Designing, implementing, and analysing A/B tests and other controlled experiments ...

process more than 1.5 million bets per hour at peak. Job Description As a Data Scientist, you will develop machine learning solutions and perform statistical analysis to inform strategic, data-driven business decisions and initiatives. Our Data Analytics team monitors, analyses, and optimises key performance indicators across our range … depth exploratory data analysis to uncover hidden patterns, identify trends, and generate actionable insights that inform strategic business decisions. Developing and deploying robust statistical and machine learning models to address complex business challenges and drive innovative solutions. Designing, implementing, and analysing A/B tests and other controlled experiments ...

training re-rankers. Entity/relationship extraction/resolutionKnowledge Graphs; building and inference, graphRAGRecommendation systems and ranking: personalisation, learning-to-rank, feed ranking, user modelling, etc. Tabular ML: feature engineering, structured data modelling (GBDTs, etc.)Statistical & Predictive Modelling: supervised ML, anomaly detection, temporal modelling, etc. ...

rankers. Entity/relationship extraction/resolution Knowledge Graphs; building and inference, graphRAG Recommendation systems and ranking: personalisation, learning-to-rank, feed ranking, user modelling, etc. Tabular ML: feature engineering, structured data modelling (GBDTs, etc.) Statistical & Predictive Modelling: supervised ML, anomaly detection, temporal modelling, etc. ...

intelligence forward, and help businesses unlock sustainable growth. Role Overview We're looking for a Senior Data Scientist who can combine the rigour of statistical modelling with the creativity of real-world storytelling. You'll design and deliver AI/ML models that are not just accurate … variety of projects and products. Key Responsibilities Design and build machine learning models for: Forecasting (e.g. demand, revenue) using tools such as Prophet Propensity modelling for churn, conversion, and cross-sell Customer segmentation using k-means or advanced clustering techniques Own end-to-end data workflows: feature creation, data ...

business growth. The culture is collaborative, pragmatic, and centred on delivering value through production-ready machine learning. The Role Build and deploy predictive and statistical models Develop customer segmentation, customer lifetime value, and churn models Deliver forecasting and customer analytics solutions Work across the full Data Science lifecycle from … Data Science best practices and capabilities Your Skills & Experience Strong commercial Data Science experience Excellent Python and SQL skills Experience with machine learning and statistical modelling Proven experience deploying models into production Strong stakeholder management and communication skills Exposure to Azure or GCP is advantageous Experience with customer ...

company, or on projects for such companies, would be advantageous. Predictive and/or prescriptive analytics and machine learning. Practical experience of mathematical and statistical analysis and modelling skills, including sensitivity and scenario analysis of analytical models. Demonstrable use of R, Python, Matlab, SAS, SPSS or similar statistical ...

operating production‐grade models within financial services or other highly regulated, high‐availability environments. Deep expertise in applied data science and ML, including statistical modelling, predictive analytics, model development, validation, deployment, monitoring, and optimisation across the full model lifecycle. Strong hands‐on technical skills, with the ability … delivering models that perform reliably in production and create tangible business value. Excellent communication and stakeholder management skills, with the ability to clearly explain modelling decisions, assumptions, risks, and limitations to both technical and non-technical audiences. Influential leadership and collaboration, capable of driving alignment and technical excellence across ...

operating production-grade models within financial services or other highly regulated, high-availability environments. Deep expertise in applied data science and ML, including statistical modelling, predictive analytics, model development, validation, deployment, monitoring, and optimisation across the full model lifecycle. Strong hands-on technical skills, with the ability … delivering models that perform reliably in production and create tangible business value. Excellent communication and stakeholder management skills, with the ability to clearly explain modelling decisions, assumptions, risks, and limitations to both technical and non-technical audiences. Influential leadership and collaboration, capable of driving alignment and technical excellence across ...

area). Hands-on experience designing, prototyping, productionizing, and scaling complex ML systems in production environments. Deep and demonstrable expertise in machine learning algorithms, statistical modelling, optimisation techniques, and scientific computing with a consistent record of applying these to deliver production-grade products. Strong software engineering and system … into deployable, production-grade ML products. Experience applying AI/ML to scientific, engineering, or R&D workflows encompassing experimentation, simulation, optimisation, physics-informed modelling, and autonomous scientific workflows. Strong experience with generative AI (LLMs, RAG, multimodal systems) and their deployment in production. Experience designing or deploying Agentic ...

electronic health records and linked population data, to generate insights into disease patterns, healthcare delivery, and outcomes. The role involves developing and applying advanced statistical and computational methods, including machine learning approaches, to support high-impact research. The postholder will collaborate with clinicians, statisticians, and data scientists across … track record of academic research and publication Required Expertise/Skills Strong programming skills in languages such as R, Python, or similar Experience with statistical modelling and machine learning techniques Ability to manage and analyse complex datasets, including data linkage Knowledge of health data governance, ethics, and data ...

interdisciplinary research environment and work closely with clinicians, computational scientists, and translational researchers. The role involves the development and application of advanced computational and statistical methods to analyse complex biomedical datasets, including large-scale imaging and clinical data. The post holder will contribute to ongoing research projects aimed … Research Fellow level: significant postdoctoral research experience and a strong publication record Required Expertise/Skills Experience in machine learning, artificial intelligence, or statistical modelling applied to biomedical or imaging data Strong programming skills (e.g., Python, R, or similar) Experience working with large-scale datasets, including medical imaging ...

About Winton Winton is a research-based investment management company with a specialist focus on statistical and mathematical inference in financial markets. The firm researches and trades quantitative investment strategies, which are implemented systematically via thousands of securities, spanning the world's major liquid asset classes. Founded … trading systems for commodity derivatives, ideally within a systematic hedge fund Experience of working closely with researchers and portfolio managers Basic knowledge of statistical modelling in a financial context Exposure to parallel & concurrent processing, e.g. Dask Familiarity with containerised cloud development, deployment and management (Docker Equal Opportunity Workplace ...

Commercial Targeting and Modelling Manager Required to be based in either London, Coventry or Glasgow. As a Barclays Commercial Targeting and Modelling Manager, you will have responsibility for a named business line, and will drive the marketing strategy for customer contacts to deliver near-perfect/relevant targeting … relationships with the Product and Channel teams to drive through plans and strategy. Communicating the recommendations of analysis to senior stakeholders to maximise performance. Statistical modelling to enhance the marketing campaign touchpoints. Qualifications Analytical experience, preferably within the financial services, products or segments, digital or Telco industries. Excellent ...

Commercial Targeting and Modelling Manager Required to be based in either London, Coventry or Glasgow. As a Barclays Commercial Targeting and Modelling Manager, you will have responsibility for a named business line, and will drive the marketing strategy for customer contacts to deliver near-perfect/relevant targeting … relationships with the Product and Channel teams to drive through plans and strategy. Communicating the recommendations of analysis to senior stakeholders to maximise performance. Statistical modelling to enhance the marketing campaign touchpoints. Qualifications Analytical experience, preferably within the financial services, products or segments, digital or Telco industries. Excellent ...

efficient and effective operations, ensuring resource plans support service performance, financial discipline, cost efficiency and wider commercial objectives. Key Responsibilities 1. Capacity Planning & Resource Modelling Lead the design, ownership and maintenance of operational capacity plans across Helpdesk & Operations, ensuring plans are robust, governed and aligned to demand, service commitments … evidence-based and financially responsible. Set out clear hiring, redeployment and resource recommendations across operational roles, influencing senior stakeholders through clear rationale, scenario modelling and commercial impact assessment. Track actual versus planned recruitment, attrition, shrinkage and productivity assumptions, providing early warning of risks to service, cost or delivery outcomes. ...