101 to 125 of 322 Statistical Modelling Jobs in the UK

a highly technical and complex environment. Well versed in scalable data mining and machine learning techniques (using computers to improve as well as develop algorithms)Kernel Methods, Deep Learning, Statistical Relational Learning, Ensemble Methods Model using advanced statistical/mathematical models, predict and segment data to hypothesize/evolve uses cases to monetize data and generate other business More ❯

a highly technical and complex environment. Well versed in scalable data mining and machine learning techniques (using computers to improve as well as develop algorithms)Kernel Methods, Deep Learning, Statistical Relational Learning, Ensemble Methods Model using advanced statistical/mathematical models, predict and segment data to hypothesize/evolve uses cases to monetize data and generate other business More ❯

their grit and innovation. Responsibilities Create data science solutions to address a variety of business challenges that can be translated to supervised and/or unsupervised learning problems using statistical and machine learning models Participate in monitoring and evaluation of performance of existing models Develop advanced quantitative models and concepts, such as LTV models, churn models, and recommendation engines … models using the risk research data Liabilities and probabilities calculations Requirements Ability to come up with sound research designs and make methodological choices to address business problems with appropriate statistical and machine learning models 3+ years of experience as a data scientist, quantitative researcher, quantitative analyst or another relevant role Degree in Applied Mathematics, Computer Science, Financial Engineering, Technology … or Engineering Knowledge of probability theory, inferential statistics, machine learning, Bayesian statistics, linear algebra, and numerical methods Experience with statistical and machine learning models, such as regression-based models (e.g., logistic regression, linear regression, negative binomial regression), tree-based models (e.g., random forests), support vector machines, PCA, clustering models, matrix factorization, deep learning, etc Experience using statistical and More ❯

model improvements, uncover key insights, and shape the future of our products, including the state-of-the-art Ultralytics YOLO models and Ultralytics HUB. Key responsibilities include: Performing deep statistical analysis on model performance across various benchmarks and datasets to identify areas for improvement. Designing and implementing advanced data augmentation strategies to enhance model robustness and generalization. Analyzing user … to stakeholders. Automating data analysis and reporting workflows using Python scripting and CI/CD tools like GitHub Actions. Staying current with the latest research in deep learning and statistical analysis to drive innovation. Your analytical rigor will be critical to advancing Ultralytics' mission to make AI easy and accessible for everyone. 🛠️ Skills and Experience 5+ years of experience … Python and extensive experience with data science libraries such as Pandas, NumPy, and Scikit-learn. Deep hands-on experience with deep learning frameworks, particularly PyTorch . Proven experience with statistical analysis , hypothesis testing, and data visualization techniques. Familiarity with computer vision tasks and concepts, with direct experience working with YOLO models being a major plus. Experience with large-scale More ❯

model improvements, uncover key insights, and shape the future of our products, including the state-of-the-art Ultralytics YOLO models and Ultralytics HUB. Key responsibilities include: Performing deep statistical analysis on model performance across various benchmarks and datasets to identify areas for improvement. Designing and implementing advanced data augmentation strategies to enhance model robustness and generalization. Analyzing user … to stakeholders. Automating data analysis and reporting workflows using Python scripting and CI/CD tools like GitHub Actions. Staying current with the latest research in deep learning and statistical analysis to drive innovation. Your analytical rigor will be critical to advancing Ultralytics' mission to make AI easy and accessible for everyone. 🛠️ Skills and Experience 5+ years of experience … Python and extensive experience with data science libraries such as Pandas, NumPy, and Scikit-learn. Deep hands-on experience with deep learning frameworks, particularly PyTorch . Proven experience with statistical analysis , hypothesis testing, and data visualization techniques. Familiarity with computer vision tasks and concepts, with direct experience working with YOLO models being a major plus. Experience with large-scale More ❯

Are you passionate about applying machine learning and statistical modeling to revolutionize financial systems that handle billions of dollars in transactions? Our team faces a unique challenge: developing intelligent systems to process, analyze, and derive insights from massive financial datasets generated across Amazon's global operations. This includes millions of customer transactions, vendor payments, inventory movements, commission calculations, and … financial workflows Create scalable algorithms that balance accuracy, latency, and computational efficiency Collaborate with software engineers to productionize ML models The ideal candidate will have: Experience in machine learning, statistical modeling, and data analysis Experience with large-scale distributed systems and cloud computing Proven track record of solving complex analytical problems Excellence in scientific programming (Python, R, or similar More ❯

strategies, especially related to automated campaign optimization. Master's or PhD degree in a quantitative field. Proven experience of large-scale data analysis and hypothesis testing. Strong proficiency in statistical analysis and predictive modeling. Proficient in Python (pandas, scipy, numpy, scikit-learn) or R (tidyverse/data.table), along with SQL. Strong communication skills with the ability to present complex More ❯

Job Opportunity: Risk Engineer in Catastrophe Modelling Location: Central Bristol, UK (Hybrid working) Contract Type: Permanent Are you passionate about mitigating cyber risks and excited about the innovative world of catastrophe modelling? Our client, a leading organisation in the cyber reinsurance sector, is on the lookout for a talented Risk Engineer specialising in Catastrophe Modelling to join … their dynamic modelling team in Bristol. Why Join Us? Cutting-edge Technology: Work with state-of-the-art tools and technologies that drive the future of cyber risk analytics. Career Development: Enjoy opportunities for growth in a collaborative and inclusive environment. Great Benefits: Competitive salary, 5% pension, 28 days holiday plus bank holidays, private medical insurance, and a death … Collaboration: Work with diverse teams to integrate new data sources and methodologies into our proprietary cyber risk estimation system, Cybertooth. Research Contribution: Engage in ongoing research within cyber catastrophe modelling, providing robust frameworks to evaluate new hypotheses against established baselines. Stay Updated: Keep abreast of the latest developments in cyber risk measurement, data science, and high-performance computing to More ❯

Job Opportunity: Risk Engineer in Catastrophe Modelling Location: Central Bristol, UK (Hybrid working) Contract Type: Permanent Are you passionate about mitigating cyber risks and excited about the innovative world of catastrophe modelling? Our client, a leading organisation in the cyber reinsurance sector, is on the lookout for a talented Risk Engineer specialising in Catastrophe Modelling to join … their dynamic modelling team in Bristol. Why Join Us? Cutting-edge Technology: Work with state-of-the-art tools and technologies that drive the future of cyber risk analytics. Career Development: Enjoy opportunities for growth in a collaborative and inclusive environment. Great Benefits: Competitive salary, 5% pension, 28 days holiday plus bank holidays, private medical insurance, and a death … Collaboration: Work with diverse teams to integrate new data sources and methodologies into our proprietary cyber risk estimation system, Cybertooth. Research Contribution: Engage in ongoing research within cyber catastrophe modelling, providing robust frameworks to evaluate new hypotheses against established baselines. Stay Updated: Keep abreast of the latest developments in cyber risk measurement, data science, and high-performance computing to More ❯

Job Opportunity: Risk Engineer in Catastrophe Modelling Location: Central Bristol, UK (Hybrid working) Contract Type: Permanent Are you passionate about mitigating cyber risks and excited about the innovative world of catastrophe modelling? Our client, a leading organisation in the cyber reinsurance sector, is on the lookout for a talented Risk Engineer specialising in Catastrophe Modelling to join … their dynamic modelling team in Bristol. Why Join Us? Cutting-edge Technology: Work with state-of-the-art tools and technologies that drive the future of cyber risk analytics. Career Development: Enjoy opportunities for growth in a collaborative and inclusive environment. Great Benefits: Competitive salary, 5% pension, 28 days holiday plus bank holidays, private medical insurance, and a death … Collaboration: Work with diverse teams to integrate new data sources and methodologies into our proprietary cyber risk estimation system, Cybertooth. Research Contribution: Engage in ongoing research within cyber catastrophe modelling, providing robust frameworks to evaluate new hypotheses against established baselines. Stay Updated: Keep abreast of the latest developments in cyber risk measurement, data science, and high-performance computing to More ❯

include: Leading the development + delivery of Data Analytics solutions that support strategic decision-making for clients. Managing data solutions projects, including: data strategy, data sourcing, data wrangling, data modelling, data visualisation + data dashboards. Must have strong Data Analytics experience including: SQL and data visualisation tools (PowerBI, Tableau or Looker). Building interactive data dashboards and reports using … Power BI or Tableau. Extracting, cleansing and modelling data from multiple sources to develop clear data insights. Statistical analysis or predictive modelling experience preferred. Working with key stakeholders to scope data requirements + define data solutions. Driving continuous improvement in data analytics processes + data governance policies. Mentoring junior data analysts, data governance + establishing best practices More ❯

which has not previously been obtainable. The Role: Data Cleaning and Preparation: Collect, clean, and prepare large media datasets from various sources (CRM, ad servers, audience panels) for analysis. Statistical Analysis: Utilise econometric techniques like regression analysis, time series modelling, and panel data analysis to identify relationships between media spend and business outcomes. Model Validation and Interpretation: Evaluate … learning to enhance model accuracy and uncover deeper insights. Your Experience and Skills: Data Science: Proficient in programming languages like Python, R, and SQL including data manipulation, data imputation, statistical modelling, and visualisation libraries. Econometrics Background Useful: Expertise in statistical methods like linear regression, generalised linear models, panel data analysis, and time series forecasting. Media Industry Knowledge … Understanding of media landscape, ad formats, audience measurement, and industry KPIs. Communication Skills: Ability to clearly communicate complex statistical concepts and insights to non-technical stakeholders. Business Acumen: Understanding of business objectives and ability to translate data insights into actionable strategies. Additional Skills: Marketing Mix Modelling (MMM): Build and maintain complex MMM models to assess the incremental impact More ❯

which has not previously been obtainable. The Role: Data Cleaning and Preparation: Collect, clean, and prepare large media datasets from various sources (CRM, ad servers, audience panels) for analysis. Statistical Analysis: Utilise econometric techniques like regression analysis, time series modelling, and panel data analysis to identify relationships between media spend and business outcomes. Model Validation and Interpretation: Evaluate … learning to enhance model accuracy and uncover deeper insights. Your Experience and Skills: Data Science: Proficient in programming languages like Python, R, and SQL including data manipulation, data imputation, statistical modelling, and visualisation libraries. Econometrics Background Useful: Expertise in statistical methods like linear regression, generalised linear models, panel data analysis, and time series forecasting. Media Industry Knowledge … Understanding of media landscape, ad formats, audience measurement, and industry KPIs. Communication Skills: Ability to clearly communicate complex statistical concepts and insights to non-technical stakeholders. Business Acumen: Understanding of business objectives and ability to translate data insights into actionable strategies. Additional Skills: Marketing Mix Modelling (MMM): Build and maintain complex MMM models to assess the incremental impact More ❯

Engineering Employment Type: Full Time Location: London, UK Description The successful candidate will join a team which develops betting solutions. These betting solutions entail the development of mathematical/statistical models and high-performance algorithms; efficient coding; automation of betting operations; data generation, acquisition, storage and manipulation; and performance analysis through back-testing and simulations. Industry based experience of … proficiency in, Python or R or a similar programming language is essential. Key Responsibilities Acquire data from multiple data sources, filtering, cleaning and wrapping. Interpret data, analyse results using statistical techniques, and provide reports. Identify, analyse, and interpret trends or patterns in complex data sets. Work within the team to prioritise business and information needs. Identify process improvement opportunities. … Design, build, test and deliver data processing and automation software. Skills, Knowledge and Expertise Statistical modelling and skills in data analytics. Strong attention to detail and ability to retain information. Adept using analytical programming languages such as R, Python, C++, etc. BSc in mathematics, statistics, computer science, engineering or other quantitative discipline. Strong communication and collaboration skills. Positive More ❯

keeping abreast of upcoming change, or areas for improvement Grow the impact of Data Science across the Group, increase the number of deployed solutions, identify previously unexplored areas of modelling or analysis Role model best practice, with focuses on efficiency and long term success Monitor the latest techniques and solutions being utilised in the wider industry Maintain departmental risk … and guidelines and other relevant standards/regulations at all times. Any other reasonable duties Experience & knowledge Extensive hands-on experience applying data science techniques to general insurance predictive modelling problems Strong track record of stakeholder management, modelling projects and successful deployment Deep understanding and familiarity with a variety of statistical models (eg GBMs, GLMs, clustering techniques … change framework Strong technical leader, able to recruit and develop a strong team Good communication skills, both verbal and written Good time management and organisation skills Proven analytical and statistical modelling skills Degree in Data Science or other quantitative field Behaviours Self-motivated and enthusiastic with the desire to meet or exceed targets Determined and passionate, particularly regarding More ❯

keeping abreast of upcoming change, or areas for improvement Grow the impact of Data Science across the Group, increase the number of deployed solutions, identify previously unexplored areas of modelling or analysis Role model best practice, with focuses on efficiency and long term success Monitor the latest techniques and solutions being utilised in the wider industry Maintain departmental risk … and guidelines and other relevant standards/regulations at all times. Any other reasonable duties Experience & knowledge Extensive hands-on experience applying data science techniques to general insurance predictive modelling problems Strong track record of stakeholder management, modelling projects and successful deployment Deep understanding and familiarity with a variety of statistical models (eg GBMs, GLMs, clustering techniques … change framework Strong technical leader, able to recruit and develop a strong team Good communication skills, both verbal and written Good time management and organisation skills Proven analytical and statistical modelling skills Degree in Data Science or other quantitative field Behaviours Self-motivated and enthusiastic with the desire to meet or exceed targets Determined and passionate, particularly regarding More ❯

Company Overview: My client is a leading quantitative trading and investment firm that researches, develops, and deploys algorithmic trading strategies across global markets. Their team leverages advanced mathematical models, statistical techniques, and cutting-edge technology to trade across all asset classes on multiple exchanges worldwide. Role Overview: They are seeking a highly analytical and driven Commodity Trader to join … or algorithmic environment. Strong programming skills in Python, C++, or similar languages used in quantitative research. Deep understanding of commodity markets, including futures, options, and spot trading. Experience with statistical modelling, machine learning, or signal processing techniques. Familiarity with market microstructure and electronic trading platforms. More ❯

Company Overview: My client is a leading quantitative trading and investment firm that researches, develops, and deploys algorithmic trading strategies across global markets. Their team leverages advanced mathematical models, statistical techniques, and cutting-edge technology to trade across all asset classes on multiple exchanges worldwide. Role Overview: They are seeking a highly analytical and driven Commodity Trader to join … or algorithmic environment. Strong programming skills in Python, C++, or similar languages used in quantitative research. Deep understanding of commodity markets, including futures, options, and spot trading. Experience with statistical modelling, machine learning, or signal processing techniques. Familiarity with market microstructure and electronic trading platforms. More ❯

Company Overview: My client is a leading quantitative trading and investment firm that researches, develops, and deploys algorithmic trading strategies across global markets. Their team leverages advanced mathematical models, statistical techniques, and cutting-edge technology to trade across all asset classes on multiple exchanges worldwide. Role Overview: They are seeking a highly analytical and driven Commodity Trader to join … or algorithmic environment. Strong programming skills in Python, C++, or similar languages used in quantitative research. Deep understanding of commodity markets, including futures, options, and spot trading. Experience with statistical modelling, machine learning, or signal processing techniques. Familiarity with market microstructure and electronic trading platforms. More ❯

maintenance of analytical libraries. Provision of expertise on quantitative methodologies, technological advancements, and industry best practices to drive innovation within the trading environment. In-depth research, data analysis, and statistical modelling to derive insights into market trends. Good foundation in machine learning algorithms, deep learning frameworks, data engineering, and model deployment, with a focus on solving real-world … benchmarks. Purpose of the role To provide quantitative and analytical expertise to support trading strategies, risk management, and decision-making within the investment banking domain, applying quantitative analysis, mathematical modelling, and technology to optimise trading and investment opportunities. Accountabilities Development and implementation of quantitative models and strategies to derive insight into market trends and optimize trading decisions, pricing, and … risk management across various financial products and markets. Working closely with sales teams to identify clients' needs and develop customised solutions. In-depth research, data analysis, and statistical modelling to derive insights into market trends, pricing, and risk dynamics. Provide front office infrastructure support though ownership and maintenance of analytical libraries. Provision of expertise on quantitative methodologies, technological More ❯

and engagement, using real data from hundreds of thousands of students Refining student personas by analysing survey responses, behavioural data, and qualitative insights, ensuring accuracy and usefulness Conducting advanced statistical analysis and clustering to uncover insights about student segments, motivations, and behaviours Collaborating closely with the Student Personas team to translate analytical findings into clear, actionable recommendations Creating robust … clearly communicating your methods and results, ensuring reproducibility and clarity This role is deeply analytical and technical, designed to rapidly build your practical skills in data science and predictive modelling within a real, high-impact environment Required Skills You'll be right for this role if: You have strong analytical skills, demonstrated by excellent academic results, research projects, academic … papers, or high placements in data science competitions You have practical experience with statistical modelling or machine learning techniques (regression analysis, clustering, classification, predictive modelling) through coursework, internships, or independent projects You are proficient in Python (especially pandas, numpy, scikit-learn, or similar libraries) and comfortable performing data analysis using Jupyter notebooks or similar tools You are More ❯

change and transformation, business acumen, strategic thinking and digital and technology, as well as job-specific technical skills. Purpose of the role To design, develop, implement, and support mathematical, statistical, and machine learning models and analytics used in business decision-making Accountabilities Design analytics and modelling solutions to complex business problems using domain expertise. Collaborate with technology to … specify any dependencies required for analytical solutions, such as data, development environments and tools. Develop high performing, comprehensively documented analytics and modelling solutions, demonstrating their efficacy to business users and validation teams. Implement analytics and models in accurate, stable, well-tested software and work with technology to operationalise them. Provide ongoing support for the continued effectiveness of analytics and … modelling solutions to users. Ensure conformance to all Barclays Enterprise Risk Management Policies, particularly Model Risk Policy. Undertake all development activities within the defined control environment. Vice President Expectations Contribute to strategy, drive requirements, and recommend changes. Manage resources, budgets, and policies; maintain policies/processes; deliver improvements; escalate breaches. If managing a team, define roles, plan for future More ❯

all functions. The role As a Data Scientist in our Direct Acquisition team, you will play a crucial role working to set up and analyse tests, and to build statistical models. The data-driven insights you produce will help us develop strategies to improve the efficiency and effectiveness of our sales and marketing. Strategy and innovation: Work closely with … work aligns with business goals and achieves valuable commercial outcomes. Design experiments to compare the performance of different strategies and evaluate them to inform decisions. Share your findings and modelling with the wider business to impact our strategy. Ownership and influence: Independently build models to help solve our business problems, with responsibility for the solution design. Promote analytical rigour … return on investment of different types of marketing strategies. Building predictive models based on sales and marketing data, to determine whether certain activities lead to a positive return. Building statistical models to enhance the ability of sales teams to do accurate forecasting and capacity planning. The requirements Essential: Strong problem-solving skills in probability and statistics. Ability to dive More ❯

Scopes 1, 2 & 3) Workflow innovation - finding and implementing more efficient, automated ways to handle large, messy datasets Support with automated reporting via templates, APIs or lightweight scripts Predictive modelling & scenario analysis to help clients plan net-zero pathways You’ll be our in-house champion for improving offline data processes, standardising imports into our platform, and proposing new … Measurement Apply the GHG Protocol (Scopes 1-3) using our in-house calculator and external factor libraries Research and validate emission factors, benchmarks and supplier disclosures Future Focus Predictive Modelling & Scenario Analysis Build simple models (regression, gap-filling) to forecast emissions and identify hotspots Build models for Net-Zero pathways and reduction strategies Automation & Reporting Support on pulling data … technical methods in plain English Great attention and care for detail Self-starter attitude: proactive, resourceful, and eager to learn new technologies Future Focus Exposure to machine learning or statistical modelling libraries Familiarity with the Greenhouse Gas Protocol and basic carbon-accounting principles What We Offer Starting salary £30 – 35k, with opportunity for role progression We’re a More ❯

Scopes 1, 2 & 3) Workflow innovation - finding and implementing more efficient, automated ways to handle large, messy datasets Support with automated reporting via templates, APIs or lightweight scripts Predictive modelling & scenario analysis to help clients plan net-zero pathways You’ll be our in-house champion for improving offline data processes, standardising imports into our platform, and proposing new … Measurement Apply the GHG Protocol (Scopes 1-3) using our in-house calculator and external factor libraries Research and validate emission factors, benchmarks and supplier disclosures Future Focus Predictive Modelling & Scenario Analysis Build simple models (regression, gap-filling) to forecast emissions and identify hotspots Build models for Net-Zero pathways and reduction strategies Automation & Reporting Support on pulling data … technical methods in plain English Great attention and care for detail Self-starter attitude: proactive, resourceful, and eager to learn new technologies Future Focus Exposure to machine learning or statistical modelling libraries Familiarity with the Greenhouse Gas Protocol and basic carbon-accounting principles What We Offer Starting salary £30 – 35k, with opportunity for role progression We’re a More ❯