201 to 225 of 416 Statistical Modelling Jobs in England

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. ...

financial services context Experience integrating AI solutions with enterprise operational platforms, accounting engines, and data infrastructure at scale Quantitative Skills — experience applying statistical modelling, data science, or quantitative analysis to financial or operational problems and to determine true impact of capabilities What we can offer you You will ...

data across the R&D organization. Support data analysis activities by performing data mining, data exploration, feature engineering, and contributing to AI/ML, statistical, and modeling projects alongside data scientists and laboratory scientists. Ensure data quality and integrity throughout the data lifecycle by developing tools, maintaining documentation ...

pricing, analytics or a related field within insurance or a data-driven environment Strong analytical capability with experience working with large datasets and statistical models Working knowledge of Python, R or similar coding languages, plus SQL skills Ability to interpret data and translate findings into clear commercial recommendations Strong ...

development. Strong proficiency in Teradata SQL and Informatica PowerCenter. Experience building and validating risk models using SAS and Python. Solid understanding of statistical techniques and risk modeling frameworks. Familiarity with data governance and compliance standards. Excellent problem-solving and communication skills. ABOUT CAPGEMINI Capgemini is a global business ...

record of deploying, operationalizing, and managing AI, ML, and advanced analytics models in a large-scale enterprise environment. Experience in AI/ML algorithms, statistical modeling, and scalable data processing pipelines. Experience with A/B experimentation and the ability to develop and debug production-quality code. Strong written ...

Software Engineers to ensure we log and model the right data to produce high-integrity business insights. Data-driven automations and solutions: Apply statistical modeling and exploratory data analysis to identify bottlenecks and drop-off points across the merchant onboarding journey, delivering insights to help Product Managers prioritize automation ...

Kafka. Experience with tools development, automation (CI/CD, Auto Deployment, System Availability, etc.), logging and monitoring. Experience with large scale data analytics and statistical modelling. Strong analytical, problem solving and communication skills. Visa is an EEO Employer Qualified applicants will receive consideration for employment without regard to race ...

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. ...

lifecycle management. Significant leadership experience in managing data science/R&D teams and driving technology innovation. Extensive experience in AI/ML algorithms, statistical modeling, and scalable data processing pipelines, with a strong background in modern data platforms (e.g. Databricks or equivalent), cloud-based technologies, data mesh architectures ...

sources using Python, R, SQL, Excel, or other tools. Conduct analyses related to consumer behaviour, market trends, and campaign performance. Build, maintain, and apply statistical and predictive models, including regression, econometrics, Bayesian methods, and Marketing Mix Modelling (MMM). Develop dashboards, charts, and visualizations to communicate insights effectively … Share best practices within the team and contribute to knowledge-sharing initiatives. Take ownership of your professional development, pursuing certifications and training in analytics, modelling, and programming. Actively participate in office meetings, training sessions, and team initiatives. Champion and role‐model our core values: Curiosity, Creativity, Excellence, Transmission, Pleasure. ...

reproducible analyses and create clear visualisations and summaries for technical and business audiences. Form and test hypotheses; identify where further data, enrichment, analysis or modelling could create additional value for an R&D product or business question. Support the development and evaluation of baseline statistical and machine‐learning ...

Commercial Savings teams. You won’t just be crunching numbers in a silo. Reporting to the Head of Savings, you will use sophisticated statistical modelling to understand customer deposit behavior, build price elasticity models, and directly inform our pricing and brand strategies. We need a storyteller who codes … commercial teams, synthesising complex data into actionable insights for leadership. What do we need from you? Deep proficiency in Python or R for statistical modeling and data manipulation. Proven experience not just building models on a desktop, but deploying them into production environments using software best practices. ...

Circana (IRI) or similar intelligence platforms. Knowledge of analytical and visualisation tools including Snowflake, SQL, Python, R, SAP Analytics Cloud (SAC), Tableau. Understanding of statistical analysis, forecasting and modelling techniques, including regression and time-series analysis. FMCG experience, with exposure to commercial, category, revenue growth management ...

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 … developing trading systems for commodity derivatives in a systematic hedge fund Experience of working closely with researchers and portfolio managers Basic knowledge of statistical modelling in a financial context Experience with parallel & concurrent processing, e.g. Dask Familiarity with containerised cloud development, deployment and management (Docker, Kubernetes, AWS) Equal ...

largest lenders and financial services organisations. Working directly with clients, you'll build credit scorecards, develop lending strategies and create statistical models using Credit Reference Agency (CRA) data to help businesses make better lending decisions. This is a highly commercial, client-facing position where you'll own analytical projects … senior stakeholders while balancing technical excellence with commercial impact. You'll be responsible for: Developing acquisition and behavioural credit scorecards using CRA data Building statistical and machine learning models including logistic and linear regression Designing and implementing credit strategies for new and existing customer portfolios Analysing large datasets using ...

processes. Your Skills & Experience Strong experience applying data science techniques within a consumer goods, retail, or customer-focused environment. Demonstrated capability in machine learning, statistical modelling, and predictive analytics. Proficiency with Python, SQL, and relevant data science libraries. Experience working with large and complex datasets to generate business ...

advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems. Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. ...

Formulate hypotheses related to how Spotify plans and delivers, and communicate insights effectively to a range of audiences. Apply analytical techniques — including statistical models and machine learning — to identify trends and generate insights that improve how we work. Build and maintain the data models, pipelines, and dashboards that provide ...

generation Represent DSAA in cross-functional program team meetings, providing authoritative scientific input and influencing development decisions through rigorous, data-driven analysis Advanced Analytics & Modelling Lead the development and application of novel computational methods for patient segmentation, biomarker discovery, and precision medicine from multimodal clinical and omics datasets Drive …/ML, deep learning, NLP, causal ML, and explainable AI across multiple data modalities and clinical development contexts Lead application of rigorous statistical approaches to clinical trial data, including survival analysis, longitudinal/mixed-effects modelling, causal inference, and principled handling of missing data Data Engineering & Reproducibility Define ...

proprietary tools and techniques to prep, mine and format customer data, analyze, produce models to develop insight dashboards and customer presentations. Develop and maintain statistical models that predict consumer behavior, campaign performance, and other key metrics. Collaborate as part of a team to drive analyses and insights, walking customers ...

lifecycle management. Significant leadership experience in managing data science/R&D teams and driving technology innovation. Extensive experience in AI/ML algorithms, statistical modeling, and scalable data processing pipelines, with a strong background in modern data platforms (e.g. Databricks or equivalent), cloud‐based technologies, data mesh architectures ...

cornerstone of HRT’s trading strategies, serving as the raw fuel that powers research, automated trading, and risk management. While Algorithm Developers focus on statistical modeling and Software Engineers focus on the systems that power our trading, HRT Data Scientists focus on extracting useful information from the vast volume ...

portfolio optimization, and capital management. The launch of Willis Re brings a strategic advantage of being unhindered by legacy, an ability to leverage data, statistical models and advanced technologies with the best knowledge and expertise to deliver more efficient and effective reinsurance outcomes. This places Willis ...

will you be doing? The role focuses on designing and implementing electronic trading algorithms for government bonds and interest rate swaps. Responsibilities include developing statistical and machine learning models for alpha signal research, pricing, hedging, and risk management, as well as building tools for performance tracking and effective monitoring ...