9 of 9 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 ...

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 ...

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 ...

Datasphere, S3). · Algorithm Versatility: Apply a wide range of ML techniques, including time-series forecasting (e.g., Prophet, XGBoost, LSTMs), statistical modelling, Bayesian Modelling and optimization algorithms (e.g., Operations Research, Linear Programming) based on the specific use case. · Scenario Simulation: Build models that allow business users ...

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

Rust, Python and others). Confident operating at senior leadership level and influencing across functions. Desirable: Google Cloud Platform including BigQuery & AI Platform. Bayesian statistics. Agent based simulation and reinforcement learning The interview journey: 1st stage interview with two engineers from the team. Tech challenge ...

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 ...

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 ...