11 of 11 Permanent Bayesian Methods Jobs in the UK

experiments, including novel approaches for challenging business problems and partial compliance data Develop and evaluate simulation frameworks: Use Monte Carlo, bootstrapping, or other simulation methods to estimate power, sensitivity, and error rates of experimentation workflows before they go live Translate results for action: Communicate assumptions, trade-offs, and experiment … outcomes (including limitations and risks) to engineers, product leaders, and business partners—regardless of statistical background Advance the discipline: Drive integration of new methods—from Bayesian inference and sequential testing to causal modelling—into our real-world experimentation platform Foster data-driven culture: Coach partners ...

their most pressing strategic challenges. Technical Leadership: Architect robust, scalable data pipelines and state-of-the-art models (including LLMs, Reinforcement Learning, or Bayesian Inference) tailored to specific client needs. Mentorship: Guide and upskill junior Data Scientists, fostering a culture of rigorous peer review, clean coding standards ...

based models in an MMM context. Strong understanding of statistical modelling/Machine Learning techniques. Experience with probabilistic programming and Bayesian methods Good working knowledge of cloud-based data science frameworks. This is a 6 month contract position which provides a daily rate of £688 (Inside ...

recommendations. Data Scientists do this by listening to team members, understanding context and challenging business ideas. Data Scientists use diverse techniques - frequentist and Bayesian statistics, machine learning, exploratory and explanatory data analysis, causal inference, data visualization, monte carlo modelling, econometric analysis, etc. Such broad requirements call ...

recommendations. Data Scientists do this by listening to team members, understanding context and challenging business ideas. Data Scientists use diverse techniques - frequentist and Bayesian statistics, machine learning, exploratory and explanatory data analysis, causal inference, data visualization, monte carlo modelling, econometric analysis, etc. Such broad requirements call ...

programming (C# or Python) and (b) databases (SQL and NoSQL). · Experience with various modelling techniques (e.g. Probability Distributions, GLMs, Monte Carlo Simulations, Bayesian Inference, Time-Series Analysis etc.) · A demonstrable interest in developing forecasting models for sports. · A good understanding of betting concepts and markets. · 2+ ...

. 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 ...

like mplsoccer Advanced MLOps & Modelling : Experience with the Vertex AI ecosystem, especially pipelines, and advanced techniques such as player valuation , tactical modelling , etc. Bayesian Modelling : Knowledge of probabilistic programming (e.g., PyMC ) for uncertainty-aware predictions Stakeholder Collaboration : Demonstrated ability to work directly with stakeholders to scope, iterate ...

window functions, and optimize joins for distributed systems. Proven experience in building or managing Marketing Mix Models (MMM), with a strong understanding of Bayesian inference, adstock transformations, and saturation curves. Nice-to-Have Qualifications: Hands-on experience with at least one major Data Clean Room environment. ...

using R. Interpreting model results and presenting findings to stakeholders. Working with guidance and support from the core team. Must-Haves: Understanding of Bayesian methods. Strong capability in R. Basic understanding of VAR (Vector Autoregression) models. General media knowledge and understanding of the retail market. Preferred Skills ...

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 ...