201 to 225 of 316 Statistical Modelling Jobs in the UK

quality of health and social care services, learning from best practice (national/international), both internally and externally. Assess the effectiveness of different advanced statistical and data science modelling approaches and advise data scientists on best tools and approaches to support organisational commitments. Manage competing demands for Data More ❯

quality of health and social care services, learning from best practice (national/international), both internally and externally. Assess the effectiveness of different advanced statistical and data science modelling approaches and advise data scientists on best tools and approaches to support organisational commitments. Manage competing demands for Data More ❯

quality of health and social care services, learning from best practice (national/international), both internally and externally. Assess the effectiveness of different advanced statistical and data science modelling approaches and advise data scientists on best tools and approaches to support organisational commitments. Manage competing demands for Data More ❯

quality of health and social care services, learning from best practice (national/international), both internally and externally. Assess the effectiveness of different advanced statistical and data science modelling approaches and advise data scientists on best tools and approaches to support organisational commitments. Manage competing demands for Data More ❯

quality of health and social care services, learning from best practice (national/international), both internally and externally. Assess the effectiveness of different advanced statistical and data science modelling approaches and advise data scientists on best tools and approaches to support organisational commitments. Manage competing demands for Data More ❯

quality of health and social care services, learning from best practice (national/international), both internally and externally. Assess the effectiveness of different advanced statistical and data science modelling approaches and advise data scientists on best tools and approaches to support organisational commitments. Manage competing demands for Data More ❯

quality of health and social care services, learning from best practice (national/international), both internally and externally. Assess the effectiveness of different advanced statistical and data science modelling approaches and advise data scientists on best tools and approaches to support organisational commitments. Manage competing demands for Data More ❯

quality of health and social care services, learning from best practice (national/international), both internally and externally. Assess the effectiveness of different advanced statistical and data science modelling approaches and advise data scientists on best tools and approaches to support organisational commitments. Manage competing demands for Data More ❯

quality of health and social care services, learning from best practice (national/international), both internally and externally. Assess the effectiveness of different advanced statistical and data science modelling approaches and advise data scientists on best tools and approaches to support organisational commitments. Manage competing demands for Data More ❯

quality of health and social care services, learning from best practice (national/international), both internally and externally. Assess the effectiveness of different advanced statistical and data science modelling approaches and advise data scientists on best tools and approaches to support organisational commitments. Manage competing demands for Data More ❯

both written and verbal Experience & knowledge of enterprise risk management would be beneficial A proven ability to interpret data ideally using appropriate coding techniques, statistical modelling techniques and an ability to translate outputs into a clear report that can be used with stakeholders Experience/a desire to More ❯

We are seeking an innovative and technically strong data scientist with a background in optimization, machine learning, and statistical modeling/analysis. This role requires a team member to have strong quantitative modeling skills and the ability to apply optimization/statistical/machine learning methods to complex … in a fast-paced and ever-changing environment. Key job responsibilities Ability to understand a business problem and the available data and identify what statistical or ML techniques can be applied to answer a business question Given a business problem, estimate solution feasibility and potential approaches based on available … teams where needed to facilitate permissions and acquisition of required data Quickly prototype solutions and build models to test feasibility of solution approach Build statistical models/ML models, train and test them to drive towards the optimal level of model performance Improve existing processes with development and implementation More ❯

develop sophisticated tools and analytics that provide actionable insights into improving PnL. Responsibilities: Implement trading strategies and execution performance across various asset classes. Implement statistical models and algorithms, Collaborate with traders and quantitative researchers to identify areas for improvement. Provide quantitative development expertise and support to traders and portfolio More ❯

develop sophisticated tools and analytics that provide actionable insights into improving PnL. Responsibilities: Implement trading strategies and execution performance across various asset classes. Implement statistical models and algorithms, Collaborate with traders and quantitative researchers to identify areas for improvement. Provide quantitative development expertise and support to traders and portfolio More ❯

This is an opportunity for to join one of London’s most exciting FinTech’s! They are a rapidly growing company that are developing statistical models and analytic tools for sports. There isn’t a better time to join their world class team of engineers. They are looking for More ❯

This is an opportunity for to join one of London’s most exciting FinTech’s! They are a rapidly growing company that are developing statistical models and analytic tools for sports. There isn’t a better time to join their world class team of engineers. They are looking for More ❯

across Amazon. As a Data Scientist, you will be responsible for modeling complex problems, discovering insights, and building risk algorithms that identify opportunities through statistical models, machine learning, and visualization techniques to improve operational efficiency. You will leverage your expertise in Machine Learning, Natural Language Processing (NLP), and Large … unlock insights and build scalable solutions through Data Science to ensure security of Amazon's platform and transactions. Build Machine Learning and/or statistical models that evaluate the transaction legitimacy and track impact over time. Ensure data quality throughout all stages of acquisition and processing, including data sourcing … visualizations, and presentations. BASIC QUALIFICATIONS 2+ years of data scientist experience. 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience. 3+ years of machine learning/statistical modeling data analysis tools and techniques, and More ❯

accurate forecasting, and the management of resources. The postholder will lead the development of and refinement of machine learning capabilities and apply these to modelling scenarios within clinical pathways and administrative processes, ensuring these models improve efficiency, optimise outcomes, and support transparent, evidence-based decisions. The postholder will lead … the development and application of statistical analysis, applying this to locally generated datasets/sources to enhance decision making and support clinical and business objectives, including outcome measurement, trend analysis, and policy development. The post holder will provide expertise and support to drive planning efforts, contributing and guiding the … models are monitored, refined, and transparent to optimise efficiency, enhance decision-making, and improve overall patient care and outcomes. Oversee the application of advanced statistical methods to analyse healthcare data, ensuring models provide accurate insights for clinical and business objectives. Support trend analysis, outcome measurement, and evidence-based decision More ❯

independence and responsibility. Stay up-to-date with technological developments, research, and emerging trends in machine learning, AI, and data science. Apply expertise in statistical modeling, forecasting, optimization, and advanced analytics to address customer needs. Communicate complex data insights clearly and effectively to both technical and non-technical audiences. … Work with various datasets, utilizing tools like R, Python, SQL, and statistical software to derive actionable insights. Contribute to data visualization efforts and support decision-making by translating data into business value. Continuously seek opportunities to expand your role and impact as UiPath grows. What you'll bring to … Python, or similar tools being a plus. Familiarity with relational databases and intermediate-level SQL knowledge. A solid understanding of a broad range of statistical techniques and data analysis methods. Excellent verbal and written communication skills, with the ability to explain complex concepts to non-technical stakeholders. Personal attributes More ❯

stage team. Will you be the one? Job Description This role offers an opportunity to apply your expertise in data science, machine learning, and statistical modeling to oncology-focused target identification and drug discovery . You will work with diverse datasets, from different sources including genomics, transcriptomics, proteomics, and … Discovery and Precision Medicine R&D teams on a number of exciting projects at Pear Bio. Job Responsibilities Develop and implement machine learning and statistical models for target discovery, drug development and patient response prediction. Collaborate with wet-lab scientists to design experiments and analyze results to inform target More ❯

stage team. Will you be the one? Job Description This role offers an opportunity to apply your expertise in data science, machine learning, and statistical modeling to oncology-focused target identification and drug discovery . You will work with diverse datasets, from different sources including genomics, transcriptomics, proteomics, and … Discovery and Precision Medicine R&D teams on a number of exciting projects at Pear Bio. Job Responsibilities Develop and implement machine learning and statistical models for target discovery, drug development and patient response prediction. Collaborate with wet-lab scientists to design experiments and analyze results to inform target More ❯

other data science techniques, with dedicated access to our new GPU server with state-of-the-art compute. Projects will typically involve implementation of statistical models, data analysis pipelines, or deep learning architectures for various tasks, including computer vision, time-series analysis, high-dimensional clustering, or large language models. … science, artificial intelligence, statistics, biomedical/biological sciences). Experience in a role involving data science, including managing, structuring, visualizing, analyzing data, and building statistical or machine learning tools. Fluency in one or more data science programming languages (R, Python with NumPy/pandas etc, Julia) with experience in More ❯

other data science techniques, with dedicated access to our new GPU server with state-of-the-art compute. Projects will typically involve implementation of statistical models, data analysis pipelines, or deep learning architectures for various tasks, including computer vision, time-series analysis, high-dimensional clustering or large language models. … science, artificial intelligence, statistics, biomedical/biological sciences). Experience in a role involving data science, including managing, structuring, visualizing, analysing data, and building statistical or machine learning tools. Fluency in one or more data science programming languages (R, Python with NumPy/pandas etc, Julia) with experience in More ❯

performance in production settings. Programming Languages: Strong coding skills in Python and SQL. Experience with Node.js, JavaScript (JS), and TypeScript (TS) is a plus. Statistical Knowledge: Solid understanding of statistical concepts and methodologies for analyzing and interpreting large datasets. Ability to apply statistical techniques to validate models More ❯

corrective measures. Continuously improve data collection and analytical methods to drive efficiency and accuracy. Produce comprehensive data reports for stakeholders across the business. Data Modelling & Optimisation Collaborate with stakeholders to develop and interpret data models supporting cost-efficiency and improved operational outcomes. Lead quality improvement initiatives through robust data … Power BI. Skilled in Python for data simulation and optimisation modelling. Strong knowledge of data warehousing, analytics platforms, and IT systems integration. Expertise in statistical analysis and data modelling techniques. Excellent communication and storytelling skills with the ability to translate complex data into business language. Proven stakeholder management More ❯