26 to 50 of 163 Statistical Modelling Jobs in the UK excluding London

Responsibilities: Experience in one or some of - statistical modelling, machine learning, AI, data science, forecasting, optimization. Programming skills/concepts and the ability to pick up new technology with ease. Prior experience in R, Python and/or other statistical tools/languages are a plus. Familiarity … intermediate level knowledge of SQL are a big bonus as you’ll be working with different datasets. Sound understanding of a wide range of statistical techniques. The ability to understand and present findings to a non-technical audience. Prior experience in data visualization and/or deriving insight from More ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯