1 to 25 of 44 Bayesian Methods Jobs in the UK excluding London

conflicting demands Experience participating in and leading Agile project teams Self-motivated, detail-oriented, and highly organised Ability to conduct statistical analysis, including Bayesian statistics, inferential statistics, probability distributions, and dimensionality reduction Additional Requirements Essential The ability to understand and behave at all times, towards patients, visitors ...

working as a contractor in fast-paced project settings Nice to Have Experience working with large brands or multi-market models Familiarity with Bayesian MMM or advanced econometric approaches Experience with cloud data platforms or marketing analytics tools Background in retail, FMCG, tech, or financial services ...

. 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 ...

. 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 ...