76 to 100 of 294 Statistical Modelling Jobs in England

marketing and trading. You have strong quantitative skills, including familiarity with Excel/VBA , R, and/or Python and their respective data manipulation, statistical modelling, and visualization packages. What's in it for you: You'll be doing work in the forefront of the commodity trading industry More ❯

teams to enhance CRM strategies and generate actionable customer profiles to improve engagement and loyalty. Requirements 1-2 years of experience in data analysis, statistical modeling, and machine learning. Proficiency with Python, and preferably Dataiku or similar platforms; with strong skills in R, or SQL. Excellent communication skills, able More ❯

teams to enhance CRM strategies and generate actionable customer profiles to improve engagement and loyalty. Requirements 1-2 years of experience in data analysis, statistical modeling, and machine learning. Proficiency with Python, and preferably Dataiku or similar platforms; with strong skills in R, or SQL. Excellent communication skills, able More ❯

implementing quantitative trading strategies with a focus on cash equity markets. You will work closely with Portfolio Managers and quantitative traders, leveraging advanced algorithms, statistical models, and market data analysis to build and refine strategies deployed in production environments. Key Responsibilities: Develop and implement quantitative models and algorithms that More ❯

implementing quantitative trading strategies with a focus on cash equity markets. You will work closely with Portfolio Managers and quantitative traders, leveraging advanced algorithms, statistical models, and market data analysis to build and refine strategies deployed in production environments. Key Responsibilities: Develop and implement quantitative models and algorithms that More ❯

and Microsoft Office suite. Knowledge of data management tools, coding, and data visualization (e.g., Alteryx, Snowflake, Python, R, SAC, Power BI). Knowledge of statistical modeling techniques (e.g., linear regression) is desirable but not essential. Basic financial understanding is preferred but not essential. Interest in developing data science and More ❯

development, testing, deployment, and vigilant monitoring. Experience creating and delivering Cloud ML solutions at scale using Docker and Kubernetes. A deep understanding of advanced statistical modeling and analysis. Expertise in Python and the tools and libraries that make ML magic happen. Familiarity with ML experiment tracking and collaboration tools More ❯

business acumen to deliver insights that shape strategic decisions and operational excellence. Key Responsibilities Advanced Data Analytics and Predictive Modeling Develop and implement sophisticated statistical models and machine learning algorithms to forecast trends, predict outcomes, and identify opportunities for performance enhancement. Utilize advanced analytics techniques such as regression analysis … in a client-facing environment. Expert-level proficiency in SQL, R or Python, and BI tools (e.g., Power BI, Tableau). Strong understanding of statistical concepts and their practical applications. Demonstrated experience in managing large-scale data projects and implementing BI solutions. Excellent communication skills with the ability to More ❯

coding skills such as C++, Python and Java Hands-on experience with High Frequency Trading (HFT) and designing ultra-low-latency systems Proficiency in statistical modelling, time series analysis, and machine learning techniques Strong communication abilities in explaining your methodologies This is an amazing opportunity to join a More ❯

coding skills such as C++, Python and Java Hands-on experience with High Frequency Trading (HFT) and designing ultra-low-latency systems Proficiency in statistical modelling, time series analysis, and machine learning techniques Strong communication abilities in explaining your methodologies This is an amazing opportunity to join a More ❯

libraries and frameworks (e.g., TensorFlow, Scikit-learn, PyTorch). With a background in data mining and pattern recognition, you'll be an expert in statistical modelling, predictive analytics and regression techniques. An industry certification in data science or a related field is required. Company Benefits 34 days' annual More ❯

one or more of these areas: Computational social science Machine learning (research engineer/research scientist) Data Science, especially including Natural Language Processing Advanced statistical modelling and experimental design. Required Skills and Experience We select based on skills and experience regarding the following areas: Writing production quality code More ❯

cloud-based data science environments. Other: Ability to integrate ML workflows into large-scale data pipelines. Strong experience in data preprocessing, feature selection, and statistical modelling. Experience communicating complex findings to both technical and non-technical stakeholders. If you are interested and looking for your next role, please apply More ❯

cloud-based data science environments. Other: Ability to integrate ML workflows into large-scale data pipelines. Strong experience in data preprocessing, feature selection, and statistical modelling. Experience communicating complex findings to both technical and non-technical stakeholders. If you are interested and looking for your next role, please apply More ❯

a related field. Extensive experience as a data scientist, with a proven track record of successful projects. Strong understanding of machine learning algorithms and statistical modeling. Experience with big data technologies and cloud platforms. Excellent communication and interpersonal skills. Bonus Points: Experience in the adtech industry. Experience with natural More ❯

computer science, or Master's degree. Experience working as a Data Scientist. Experience with data scripting languages (e.g., SQL, Python, R, or equivalent) or statistical/mathematical software (e.g., R, SAS, Matlab, or equivalent). Experience in machine learning/statistical modeling data analysis tools and techniques, and … PhD in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science. Experience with machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance. Hands-on experience with deep learning (e.g., CNN, RNN, LSTM, Transformer). More ❯

provision. You will work closely with key business stakeholders to identify opportunities to drive value from data and lead the development of advanced analytics & modelling algorithms. You will be comfortable working independently and as part of small teams in dynamic projects across Just to develop predictive models, identify behaviour … with data protection law and that we are upholding our values and ethics in how we use data. Nature of the Role: Data Analysis & modelling Clean, preprocess, and validate behaviour and health data to ensure accuracy and reliability of analyses. Produce and present insightful analysis from multiple large data … T-SQL, SSIS, SSRS, Power BI). Experience At least five years' experience of working as a Behavioural Scientist or equivalent role, in applying statistical models and machine learning algorithms to behaviour and health-related data sets. Experience and ability to respond to business needs by identifying appropriate statistical More ❯

the organizations systems and processes. The team has a variety of skills and experience in technical domains such as Software development, Automation, Data-pipeline-modelling, IT project management, Data visualisation. We also pride ourselves on our close integration with non-technical/non-data teams as our success comes … GCP • Experience with Terraform • Strong Python skills • Experience with version control for data models (e.g., dbt testing frameworks, data documentation) • Demonstrated experience with data modelling concepts (dimensional modelling, star schemas) • Experience writing efficient and optimised SQL for large-scale data transformations • Understanding of data warehouse design principles and … working with large-scale spatial datasets (billions of rows) and performing geospatial at scale using BigQuery GIS or similar tools • Experience with advanced analytical modelling techniques, including statistical analysis and predictive modelling, particularly applying these to large-scale datasets to derive actionable insights • Knowledge of data governance More ❯

and deliverables, anticipate risks, and resolve issues. Create dashboards to monitor operational metrics and KPIs. Support global FinOps teams with reporting, ad hoc analysis, statistical inference, and predictive modeling. Analyze data trends and operational statistics to provide meaningful insights. Interpret data and relate findings to business and operational contexts. More ❯

Tableau/Power BI. Leading by example and rolling up sleeves to get things done. Deep conceptual and technical understanding of Credit Risk, Analytics, Statistical Model deployment and use demonstrated prior analytical/first-line risk experience in the Card industry. Deep conceptual and commercial understanding of New Business More ❯

Tableau/Power BI. Leading by example and rolling up sleeves to get things done. Deep conceptual and technical understanding of Credit Risk, Analytics, Statistical Model deployment and use demonstrated prior analytical/first-line risk experience in the Card industry. Deep conceptual and commercial understanding of New Business More ❯

and concisely to various audiences. Understanding and experience with Data Science, including development and implementation of advanced analytics models, such as machine learning and statistical models Knowledge of Palantir Foundry and its data integration and analytics capabilities Understanding of how to present metrics and management information Project management experience More ❯

and concisely to various audiences. Understanding and experience with Data Science, including development and implementation of advanced analytics models, such as machine learning and statistical models Knowledge of Palantir Foundry and its data integration and analytics capabilities Understanding of how to present metrics and management information Project management experience More ❯

game theoretic concepts. Level 3 (PhD Level): Expert-level understanding of advanced mathematical concepts, including theorem proving, complex analysis, abstract algebra, topology, and advanced statistical modeling techniques. Experience with research and the ability to explain complex mathematical concepts clearly. For all levels: Excellent problem-solving skills and analytical thinking More ❯

game theoretic concepts. Level 3 (PhD Level): Expert-level understanding of advanced mathematical concepts, including theorem proving, complex analysis, abstract algebra, topology, and advanced statistical modeling techniques. Experience with research and the ability to explain complex mathematical concepts clearly. For all levels: Excellent problem-solving skills and analytical thinking More ❯