11 of 11 Permanent Bayesian Methods Jobs in England

Doing Designing novel algorithmic and machine learning approaches to interpret complex scientific data Developing mathematical models (including probabilistic/Bayesian methods) Building proof-of-concept tools and production-ready Python systems Managing and improving data pipelines from experimental instrumentation Continuously evaluating, refining, and stress-testing models … depth. What They’re Looking For... Essential STEM degree (undergraduate or above) Strong Python software engineering skills Comfort working with mathematical modelling and statistical methods Intellectual curiosity and willingness to explore new approaches Nice to Have Experience in machine learning (research or applied) Probabilistic modelling or Bayesian ...

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 ...

Desirable Experience Interest in sport and performance analytics Understanding of market pricing or forecasting models Knowledge of Bayesian methods, machine learning, or advanced statistical techniques Experience with optimisation methods or automated decision systems Familiarity with databases (SQL or NoSQL) Experience with additional programming languages What ...

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 ...

engineers • Some front-end/product sense (you care about shipping usable tools, not just notebooks) • Experience with causal inference, Bayesian methods, or mechanistic simulation ...

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 ...

engineering—to translate business objectives into robust analytical solutions. Build software using modern technology to enable investing and asset management at scale. Apply Bayesian modelling and probabilistic programming techniques to address uncertainty and improve prediction accuracy. Analyse large-scale datasets to identify key drivers, trends, and early … Requirements: University degree in a STEM field (e.g., Mathematics, Statistics, Computer Science, Engineering, Physics, Economics); advanced degree preferred. Strong expertise in statistical modelling, Bayesian inference, and machine learning. Proficient in Python (using libraries such as NumPy, pandas, scikit-learn, PyMC or Stan) Experienced in SQL. Ability ...

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 ...