7 of 7 Remote/Hybrid Bayesian Methods Jobs in the UK

Contributing to model orchestration, synthetic data generation and probabilistic matching frameworks Evaluating model trade-offs, benchmarking approaches and validating system-level outcomes Exploring frontier methods such as reinforcement learning, Bayesian hierarchical modelling and generative AI Collaborating closely with engineering to ensure models scale effectively in production … similar) Proven experience taking research from experimentation into live production systems Advanced expertise in statistical modelling, optimisation and machine learning (Bayesian methods, MCMC, reinforcement learning, multi-objective optimisation, synthetic data) Strong experimental design and validation experience, with a focus on reproducibility Hands-on Python and ...

Leading pharmaceutical client now requires a Senior Bayesian Data Scientist to drive marketing effectiveness via marketing mix modelling and other models. This role will oversee data collection, extraction, manipulation, analysis and validation ensuring data is ready for modelling. You will work closely with the Data Science team … essential. Experience with Regression based models 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 12 month contract position which provides a daily rate of £725 (Inside ...

highly collaborative environment. What you’ll be doing: Design, implement, and analyse causal inference experiments, including randomized controlled trials, natural experiments, and quasi-experimental methods Develop and apply conformal prediction frameworks to provide reliable uncertainty estimates for machine learning models Identify and control for confounding variables in observational studies … Advanced degree (MS or PhD) in a quantitative discipline with deep understanding of statistics 3+ years of professional experience applying statistical and causal inference methods to real-world data Demonstrated expertise in experimental design, including randomized controlled trials and observational study methodologies Strong understanding of conformal prediction theory and ...

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 ...

product, typically you'll collaborate with the research team to productionise ideas that are ahead of the published literature, evaluating and integrating established methods or developing your own algorithms, ensuring reliability and maintainability within a complex, integrated codebase. You'll liaise with clients to understand engineering problems that … when to ask for help from domain experts, researchers and engineers You have strong foundations in probabilistic modelling (Gaussian processes, Bayesian methods, uncertainty quantification) You're a confident communicator, comfortable liaising with clients What's in it for you: Competitive salary - to £90k Private Health Care ...

firms and telecoms; including Nissan, L'Oréal, Carrefour, WHSmith, Orange, Beiersdorf, BNP Paribas, and Samsung. Our success stems from combining advanced data technologies, agile methods for quick delivery, and dedicated teams of data scientists, data engineers, business consultants, and data analysts. Our 1,800 employees operate in 25 countries … client stakeholders. Advanced Modelling : Proven ability to implement a range of complex models such as time-series forecasting, gradient boosting, clustering, NLP, and Bayesian inference. ML-Ops & Orchestration : Strong experience with MLOps tools for orchestration, experiment tracking, hyper-parameter tuning, and deploying automated model retraining pipelines. Programming ...

working with existing codebases and extending models Experience with data wrangling, transformation, and pipeline preparation Familiarity with MMM techniques and frameworks such as: Bayesian MMM PyMC/PyMC-Marketing Robyn (or equivalent) Experience working with marketing data (media channels, spend, performance metrics) Ability to work independently with … Please apply directly or email with your CV and availability. KEYWORDS Media Mix Modelling, Marketing Mix Modelling, MMM, Python, PyMC, PyMC-Marketing, Robyn, Bayesian Modelling, Econometrics, Marketing Analytics, Adstock, Saturation, Data Science, MMM Contractor ...