26 to 50 of 110 Bayesian Methods Jobs in England

production.Track record of promoting statistical rigour and experimental best practices in your prior roles.Prior experience using causal inference/econometric techniques and bayesian methodologies for hypothesis testing.Prior experience using large datasets with distributed computing (e.g. spark, hadoop or other map-reduce tech)Experience working in a fast ...

pricing models. Turning pricing opportunities into measurable hypotheses, experiments and production changes. Evaluating pricing performance through backtesting, online testing and commercial metrics. Developing Bayesian, multi-armed bandit and other optimisation approaches for dynamic pricing. Working with commercial, finance and product teams to understand pricing performance and recommend … code, testing and code review, alongside strong SQL. A solid grounding in machine learning techniques such as gradient boosting, GLMs, Bayesian methods and multi-armed bandits, or comparable experimentation and optimisation methods. Experience designing, running and evaluating pricing experiments using both commercial and statistical measures. ...

think in terms of the cost function and inductive biases of your modelsBayesian methods. You have used hierarchical models, MCMC, or Bayesian updating in real work.Time series modelling. You have modelled temporal data where autocorrelation, drift, or seasonality mattered.Python. The stack the team uses.The salaryWe expect ...

Stats Background • Outstanding background in probability and statistics • Experience and interest in modern machine learning techniques, for example, deep learning, Bayesian methods and graphical models • Programming experience with python, julia or R You will be joining a progressive and exciting company committed to excellence. They offer ...

through to multinationals, helping them secure highly sought after skill sets. Key words: Data Scientist, Algorithm Developer, Equity Research, Investments, Quantitative Research, Bayesian Statistics, Mathematics, Computer Science, Analytical Algorithms, Python. C++, Monte Carlo. ...

React; Javascript/Typescript. Experience with UI/UX design principles. Experience deploying cloud infrastructure as code (e.g. AWS). An understanding of Bayesian statistics. Experience with accessibility, inclusive design or motion design. Location: This role is on-site at either our Exeter or Bristol office. ...

linear methods. You have shipped gradient boosting or neural networks on tabular data in production.Bayesian methods. You have used hierarchical models, MCMC, or Bayesian updating in real work.Time series modelling. You have modelled temporal data where autocorrelation, drift, or seasonality mattered.Python. The stack the team uses.The salaryWe ...

required to obtain UK Security Clearance. Desirable Experience Experience with any of the following would be beneficial: Statistical modelling, Bayesian methods, uncertainty estimation, or probabilistic techniques. Synthetic data generation, multi-modal AI, or action recognition. Machine learning development tools, experiment tracking, dataset management, or CI/ ...

with a proven record of success in online data science competitions, such as Kaggle. Experience in deep learning, reinforcement learning, non‐convex optimisation, Bayesian non‐parametrics, NLP or approximate inference. Excellent reasoning skills and mathematical ability. Strong programming skills and experience working with Python, Scikit‐Learn, SciPy ...

products PhD or other experience in a research environment Deep experience in an applicable ML area - E.g. NLP, Deep learning, Bayesian methods, Reinforcement learning, clustering Strong stats or math background At Fin, we want to give people what they need to do the best work ...

shipping ML productsPhD or other experience in a research environmentDeep experience in an applicable ML area - E.g. NLP, Deep learning, Bayesian methods, Reinforcement learning, clusteringStrong stats or math backgroundVisualization, data skills, SQL, matplotlib, etc.Unleash Your PotentialWhen you join Salesforce, you’ll be limitless in all areas ...

into a compelling product vision and strategic roadmap. Deep expertise in advanced measurement techniques including Marketing Mix Modeling (MMM) (including various methodologies like Bayesian), Multi-Touch Attribution (MTA), Incrementality testing, and marketing experimentation. Strong understanding of marketing data sources, data ingestion, transformation, and reporting challenges. Deep expertise ...

seeking a Principal Scientist within the Cheminformatics (CIX) group. You will leverage large proprietary internal datasets to develop, integrate and embed advanced computational methods and predictive in silico models that accelerate the discovery of medicines. With a focus on machine learning, cheminformatics and computational chemistry methodologies, you will help … guidance that is accessible to non-experts.Contribute to and validate production-quality code implementing state-of-the-art cheminformatics, computational chemistry and quantum chemistry methods that accelerate and improve decision-making on drug discovery programmes.Prepare and present results of key validation experiments, details of capability builds, and developments ...

shaping a modern, cloud-native stack from an early stage.As an experienced technical leader and researcher, you'll use advanced predictive and prescriptive methods (causal inference, stochastic simulation, Bayesian hierarchical modelling, machine learning and more) to tackle real strategic and operational questions, e.g., forecasting the financial … Master level/equivalent experience in Data/analytics fieldEvidence of post qualifying and continuing professional developmentDemonstrable knowledge in relevant analytical fields, their associated methods, and their potential for application within healthcare, including advanced statistics, epidemiology, data science, econometrics, and operational researchExpert knowledge of the role of analysis ...

international clients, from data strategy and collection to modelling, insights, and activation. Apply econometrics, regression, Bayesian statistics, and machine learning methods to analyse marketing and customer data. Collaborate closely with Managers to understand the project scope, structure, analytical approaches, manage operations and ensure timely delivery. Build … similar tools. Experience with Databricks, Azure, or other cloud/data platforms is a plus. Solid understanding of econometrics, regression analysis, Bayesian statistics, or other advanced modelling techniques. Experience translating data and model outputs into actionable business recommendations. Comfortable handling large datasets, optimizing data pipelines, and delivering ...

international clients, from data strategy and collection to modelling, insights, and activation.· Apply econometrics, regression, Bayesian statistics, and machine learning methods to analyse marketing and customer data· Collaborate closely with Managers to understand the project scope, structure, analytical approaches, manage operations and ensure timely delivery.· Build … similar tools.· Experience with Databricks, Azure, or other cloud/data platforms is a plus.· Solid understanding of econometrics, regression analysis, Bayesian statistics, or other advanced modelling techniques.· Experience translating data and model outputs into actionable business recommendations.· Comfortable handling large datasets, optimizing data pipelines, and delivering ...

reporting, and program-level ROI storytelling. Statistical Rigor & Methodology OversightAct as a credible thought partner to your statisticians: understand the tradeoffs across classical, Bayesian, and causal-inference approaches well enough to review their work, defend it to customers, and know when to push back.Set and enforce standards … contributors.Comfortable partnering with a statistics team - you don't need to derive the models yourself, but you understand classical inference, Bayesian methods, or causal inference well enough to be a credible reviewer and thought partner.Hands-on experience building AI agents or agentic workflows, not just directing ...

and program-level ROI storytelling. Statistical Rigor & Methodology Oversight Act as a credible thought partner to your statisticians: understand the tradeoffs across classical, Bayesian, and causal-inference approaches well enough to review their work, defend it to customers, and know when to push back. Set and enforce … Comfortable partnering with a statistics team - you don't need to derive the models yourself, but you understand classical inference, Bayesian methods, or causal inference well enough to be a credible reviewer and thought partner. Hands-on experience building AI agents or agentic workflows, not just ...

explain complex technical concepts clearly Strong programming skills in Python, with experience in C++ for production or performance-critical systems Desirable: Experience with Bayesian inference, uncertainty estimation, probabilistic modelling, or state estimation Familiarity with custom loss functions, action recognition, synthetic data, or multi-modal neural networks ...

similar. ● PhD in Statistics or another area involving lots of work with messy data (e.g., Physics, Computational Biology). ● Extensive background in Bayesian inference, state-space models, filtering algorithms, etc. ● Excellent programming skills and experience implementing efficient algorithms for high-dimensional problems. Any prior exposure to sports ...

similar. PhD in Statistics or another area involving lots of work with messy data (e.g., Physics, Computational Biology). Extensive background in Bayesian inference, state-space models, filtering algorithms, etc. Excellent programming skills and experience implementing efficient algorithms for high-dimensional problems. Any prior exposure to sports ...

Stats or Engineering degree.Outstanding background in probability and statisticsExperience and interest in modern machine learning techniques, for example, deep learning, Bayesian methods and graphical modelsProgramming experience with python, julia or RYou will be joining a progressive and exciting company committed to excellence. They offer an excellent ...

data pipelines using dbt, Airflow, and Snowflake. Beyond querying, you use Python for advanced automation and forecasting, and you apply statistical rigor (e.g., Bayesian statistics, causal inference) to solve complex product problems.Commercial & Risk Mindset: You possess deep commercial fluency, understanding the unit economics of a fintech product ...

data pipelines using dbt, Airflow, and Snowflake. Beyond querying, you use Python for advanced automation and forecasting, and you apply statistical rigor (e.g., Bayesian statistics, causal inference) to solve complex product problems. Commercial & Risk Mindset: You possess deep commercial fluency, understanding the unit economics of a fintech ...

rich environments Strong statistical knowledge Experience with product analytics and behavioural tracking Experience mentoring or coaching other analysts Nice to have Knowledge of Bayesian or Frequentist experimentation approaches Experience with event-level analytics platforms Predictive analytics exposure The team You'll report into the Analytics Team Lead ...