26 to 44 of 44 Bayesian Methods Jobs in the UK excluding London

. Strong skills in: Data wrangling/manipulation (e.g., dplyr, pandas) Visualisation (e.g., ggplot2, matplotlib) Statistical modelling (e.g., multilevel models, Bayesian methods, machine learning) Experience working hands-on with real-world datasets: cleaning, validating, and interpreting results (including uncertainty and statistical significance). Ability to turn ...

. Strong skills in: Data wrangling/manipulation (e.g., dplyr, pandas) Visualisation (e.g., ggplot2, matplotlib) Statistical modelling (e.g., multilevel models, Bayesian methods, machine learning) Experience working hands-on with real-world datasets: cleaning, validating, and interpreting results (including uncertainty and statistical significance). Ability to turn ...

. Strong skills in: Data wrangling/manipulation (e.g., dplyr, pandas) Visualisation (e.g., ggplot2, matplotlib) Statistical modelling (e.g., multilevel models, Bayesian methods, machine learning) Experience working hands-on with real-world datasets: cleaning, validating, and interpreting results (including uncertainty and statistical significance). Ability to turn ...

. Strong skills in: Data wrangling/manipulation (e.g., dplyr, pandas) Visualisation (e.g., ggplot2, matplotlib) Statistical modelling (e.g., multilevel models, Bayesian methods, machine learning) Experience working hands-on with real-world datasets: cleaning, validating, and interpreting results (including uncertainty and statistical significance). Ability to turn ...

. Strong skills in: Data wrangling/manipulation (e.g., dplyr, pandas) Visualisation (e.g., ggplot2, matplotlib) Statistical modelling (e.g., multilevel models, Bayesian methods, machine learning) Experience working hands-on with real-world datasets: cleaning, validating, and interpreting results (including uncertainty and statistical significance). Ability to turn ...

. Strong skills in: Data wrangling/manipulation (e.g., dplyr, pandas) Visualisation (e.g., ggplot2, matplotlib) Statistical modelling (e.g., multilevel models, Bayesian methods, machine learning) Experience working hands-on with real-world datasets: cleaning, validating, and interpreting results (including uncertainty and statistical significance). Ability to turn ...

. Strong skills in: Data wrangling/manipulation (e.g., dplyr, pandas) Visualisation (e.g., ggplot2, matplotlib) Statistical modelling (e.g., multilevel models, Bayesian methods, machine learning) Experience working hands-on with real-world datasets: cleaning, validating, and interpreting results (including uncertainty and statistical significance). Ability to turn ...

. Strong skills in: Data wrangling/manipulation (e.g., dplyr, pandas) Visualisation (e.g., ggplot2, matplotlib) Statistical modelling (e.g., multilevel models, Bayesian methods, machine learning) Experience working hands-on with real-world datasets: cleaning, validating, and interpreting results (including uncertainty and statistical significance). Ability to turn ...

. Strong skills in: Data wrangling/manipulation (e.g., dplyr, pandas) Visualisation (e.g., ggplot2, matplotlib) Statistical modelling (e.g., multilevel models, Bayesian methods, machine learning) Experience working hands-on with real-world datasets: cleaning, validating, and interpreting results (including uncertainty and statistical significance). Ability to turn ...

. Strong skills in: Data wrangling/manipulation (e.g., dplyr, pandas) Visualisation (e.g., ggplot2, matplotlib) Statistical modelling (e.g., multilevel models, Bayesian methods, machine learning) Experience working hands-on with real-world datasets: cleaning, validating, and interpreting results (including uncertainty and statistical significance). Ability to turn ...

. Strong skills in: Data wrangling/manipulation (e.g., dplyr, pandas) Visualisation (e.g., ggplot2, matplotlib) Statistical modelling (e.g., multilevel models, Bayesian methods, machine learning) Experience working hands-on with real-world datasets: cleaning, validating, and interpreting results (including uncertainty and statistical significance). Ability to turn ...

. Strong skills in: Data wrangling/manipulation (e.g., dplyr, pandas) Visualisation (e.g., ggplot2, matplotlib) Statistical modelling (e.g., multilevel models, Bayesian methods, machine learning) Experience working hands-on with real-world datasets: cleaning, validating, and interpreting results (including uncertainty and statistical significance). Ability to turn ...

. Strong skills in: Data wrangling/manipulation (e.g., dplyr, pandas) Visualisation (e.g., ggplot2, matplotlib) Statistical modelling (e.g., multilevel models, Bayesian methods, machine learning) Experience working hands-on with real-world datasets: cleaning, validating, and interpreting results (including uncertainty and statistical significance). Ability to turn ...

level. Ability to write complex CTEs, window functions, and optimize joins for distributed systems. Experience with Marketing Mix Models (MMM). Understanding of Bayesian inference, Adstock transformations, and saturation curves. Useful experience Hands-on experience with at least one major DCR environment. Deep understanding of hypothesis testing ...

write complex CTEs, window functions, and optimize joins for distributed systems. Proven experience building or managing Marketing Mix Models (MMM). Understanding of Bayesian inference, Adstock transformations, and saturation curves. Useful experience Hands-on experience with at least one major DCR environment. Deep understanding of hypothesis testing ...

write complex CTEs, window functions, and optimize joins for distributed systems. Proven experience building or managing Marketing Mix Models (MMM). Understanding of Bayesian inference, Adstock transformations, and saturation curves. Useful experience Hands-on experience with at least one major DCR environment. Deep understanding of hypothesis testing ...

Researcher you will work fairly independently, developing your own research programme, with a view to developing new tools and techniques for probabilistic models, Bayesian optimisation and related fields. You will actively engage in team collaborations to meet research goals and report your research findings both internally and … advanced knowledge of decision making techniques e.g. Bayesian optimisation, bandits, reinforcement learning, active learning and/or probabilistic modelling and methods e.g. Gaussian processes, Bayesian neural networks, Variational inference, etc. You have experience with Python numerical programming e.g. NumPy, TensorFlow, PyTorch Ideally ...

processes, and best practice. This is an opportunity to have real influence over how analytics is done, helping close the knowledge gap through innovative methods and high-quality thinking. KEY RESPONSIBILITIES Analytics Leadership Own analytics workstreams for major research projects Lead advanced analyses including segmentation, factor reduction, and multi … analytics outputs Research Delivery Independently run end-to-end research and insight projects Work primarily on quantitative research, with exposure to qualitative and mixed-methods studies Translate complex analysis into clear, compelling insight for clients and internal stakeholders Commercial & Proposal Support Contribute to and own RFPs and research proposals ...

partnered with a fast-growing research technology startup using AI to transform how organisations understand people. The business combines advanced analytics with modern research methods to deliver deeper insights, faster and at significantly lower cost than traditional research approaches. As the company launches a new AI-driven product, they … and segmentation Automate repeat analytical tasks for trackers and long-running projects Run end-to-end research projects (primarily quant; some qual/mixed methods) Contribute to proposals and RFPs About You Essential 3+ years' experience in analytics and/or research using survey data Hands-on experience with ...