15 of 15 Permanent Statistical Modelling Jobs in the East of England

with cross-functional teams to integrate AI/ML models with business applications and systems. Train, evaluate, and optimize models using machine learning and statistical techniques. Conduct extensive data exploration, analysis, and preprocessing to ensure data quality for AI/ML applications. Develop and apply data science methodologies to … extract insights from large-scale structured and unstructured datasets. Utilise predictive analytics, time series forecasting, and statistical models to drive business decision-making. Stay updated on the latest advancements in AI/ML and data science technologies. Develop and maintain comprehensive documentation for AI/ML pipelines, data workflows … Proficiency in Python, R, or other relevant programming languages. Proficiency in working with large datasets, data wrangling, and data preprocessing. Experience in data science, statistical modelling, and data analytics techniques. Experience with data analysis and visualization tools (e.g., Matplotlib, Seaborn, Tableau). Ability to work independently and lead More ❯

with cross-functional teams to integrate AI/ML models with business applications and systems. Train, evaluate, and optimize models using machine learning and statistical techniques. Conduct extensive data exploration, analysis, and preprocessing to ensure data quality for AI/ML applications. Develop and apply data science methodologies to … extract insights from large-scale structured and unstructured datasets. Utilise predictive analytics, time series forecasting, and statistical models to drive business decision-making. Stay updated on the latest advancements in AI/ML and data science technologies. Develop and maintain comprehensive documentation for AI/ML pipelines, data workflows … Proficiency in Python, R, or other relevant programming languages. Proficiency in working with large datasets, data wrangling, and data preprocessing. Experience in data science, statistical modelling, and data analytics techniques. Experience with data analysis and visualization tools (e.g., Matplotlib, Seaborn, Tableau). Ability to work independently and lead More ❯

with cross-functional teams to integrate AI/ML models with business applications and systems. Train, evaluate, and optimize models using machine learning and statistical techniques. Conduct extensive data exploration, analysis, and preprocessing to ensure data quality for AI/ML applications. Develop and apply data science methodologies to … extract insights from large-scale structured and unstructured datasets. Utilise predictive analytics, time series forecasting, and statistical models to drive business decision-making. Stay updated on the latest advancements in AI/ML and data science technologies. Develop and maintain comprehensive documentation for AI/ML pipelines, data workflows … Proficiency in Python, R, or other relevant programming languages. Proficiency in working with large datasets, data wrangling, and data preprocessing. Experience in data science, statistical modelling, and data analytics techniques. Experience with data analysis and visualization tools (e.g., Matplotlib, Seaborn, Tableau). Ability to work independently and lead More ❯

design. Key Responsibilities Develop and implement machine learning models for analyzing complex biological and genomic datasets. Apply deep learning, natural language processing (NLP), and statistical modeling techniques to solve key challenges in drug discovery and development. Work closely with computational biologists, bioinformaticians, and wet-lab scientists to integrate AI More ❯

would be joining a team of fast-moving problem solvers working on diverse projects including cyber security, front-end application development, detailed analytical and statistical modelling, and innovation in areas from machine vision to big data processing using Cloud services and beyond. This role requires working independently and More ❯

time software development. Geographic Information Systems (GIS). UI/UX design best practices. Python or other scripting languages. Machine learning and classification methodologies. Statistical analysis and data modelling. Why Join? This is a chance to contribute to exciting, high-impact projects in a dynamic and growing technology company. More ❯

time software development. Geographic Information Systems (GIS). UI/UX design best practices. Python or other scripting languages. Machine learning and classification methodologies. Statistical analysis and data modelling. Why Join? This is a chance to contribute to exciting, high-impact projects in a dynamic and growing technology company. More ❯

time software development. Geographic Information Systems (GIS). UI/UX design best practices. Python or other scripting languages. Machine learning and classification methodologies. Statistical analysis and data modelling. Why Join? This is a chance to contribute to exciting, high-impact projects in a dynamic and growing technology company. More ❯

time software development. Geographic Information Systems (GIS). UI/UX design best practices. Python or other scripting languages. Machine learning and classification methodologies. Statistical analysis and data modelling. Why Join? This is a chance to contribute to exciting, high-impact projects in a dynamic and growing technology company. More ❯

to generate incremental lifetime value of our portfolio through the delivery and development of retail pricing models and optimisations using innovative and cutting-edge modelling approaches. You will help continuously improve the pricing process and enhance the abilities of the wider team, as well as being involved with integrating … and establishing the use of advanced data science and statistical techniques to enhance pricing model accuracy and output. Key Responsibilities End to end production of pricing models using a tailor-made pricing pipeline Use of Earnix to build predictive statistical models and intelligently optimise customer prices Contribute and … improvements to the pricing process to increase pricing performance and efficiency Contribute and lead research and development opportunities to help innovate and improve current modelling and pricing methodologies Evaluate and utilise tools and data items created by the data science teams Ensure all activity is compliant with pricing governance More ❯

to generate incremental lifetime value of our portfolio through the delivery and development of retail pricing models and optimisations using innovative and cutting-edge modelling approaches. You will help continuously improve the pricing process and enhance the abilities of the wider team, as well as being involved with integrating … and establishing the use of advanced data science and statistical techniques to enhance pricing model accuracy and output. Key Responsibilities End to end production of pricing models using a tailor-made pricing pipeline Use of Earnix to build predictive statistical models and intelligently optimise customer prices Contribute and … improvements to the pricing process to increase pricing performance and efficiency Contribute and lead research and development opportunities to help innovate and improve current modelling and pricing methodologies Evaluate and utilise tools and data items created by the data science teams Ensure all activity is compliant with pricing governance More ❯

to generate incremental lifetime value of our portfolio through the delivery and development of retail pricing models and optimisations using innovative and cutting-edge modelling approaches. You will help continuously improve the pricing process and enhance the abilities of the wider team, as well as being involved with integrating … and establishing the use of advanced data science and statistical techniques to enhance pricing model accuracy and output. Key Responsibilities End to end production of pricing models using a tailor-made pricing pipeline Use of Earnix to build predictive statistical models and intelligently optimise customer prices Contribute and … improvements to the pricing process to increase pricing performance and efficiency Contribute and lead research and development opportunities to help innovate and improve current modelling and pricing methodologies Evaluate and utilise tools and data items created by the data science teams Ensure all activity is compliant with pricing governance More ❯

to generate incremental lifetime value of our portfolio through the delivery and development of retail pricing models and optimisations using innovative and cutting-edge modelling approaches. You will help continuously improve the pricing process and enhance the abilities of the wider team, as well as being involved with integrating … and establishing the use of advanced data science and statistical techniques to enhance pricing model accuracy and output. Key Responsibilities End to end production of pricing models using a tailor-made pricing pipeline Use of Earnix to build predictive statistical models and intelligently optimise customer prices Contribute and … improvements to the pricing process to increase pricing performance and efficiency Contribute and lead research and development opportunities to help innovate and improve current modelling and pricing methodologies Evaluate and utilise tools and data items created by the data science teams Ensure all activity is compliant with pricing governance More ❯

a degree with mathematical content and programming skills Relevant experience (Post-Doctoral or industrial) in robotics, data fusion, tracking/estimation, pattern discovery & recognition, statistical inference, optimisation and machine/deep learning algorithms along with real-time implementation, and/or validation & verification is a strong advantage Experience in … theory of evidence Machine Learning for regression and pattern recognition/discovery problems e.g. Gaussian processes, latent variable methods, support vector machines, probabilistic/statistical models, neural networks, Bayesian inference, random-forests, novelty detection, clustering Deep Learning e.g. Deep reinforcement learning, Monte-Carlo tree search, deep regression/classification More ❯

sector This centrally based Cambridge consultancy works with customers across the world to provide highly strategic expertise through their knowledge and understanding of quantitative modelling for financial applications within the telecommunications technology sector. They utilise historical and market data as well as build statistical inferred models to provide … Physics from a top ranked university. Applicants should also hold an advanced degree (Master’s or PhD) in a highly numerate subject. Extensive numerical modelling skills using statistics or quantitative analysis. Specific experience with financial mathematics is not needed but any exposure would be of interest. Good communication skills. … . Further, candidates do need full rights to work in the UK. On offer is an excellent compensation package. Keywords: Consultancy, Quant Analysis, Maths Modelling, Statistics, Inference, Worldwide Travel Another top job from ECM, the high-tech recruitment experts. Even if this job's not quite right, do contact More ❯