23 of 23 Bayesian Methods Jobs in England

biggest brands in the US. They are completely rebuilding their flagship products around Bayesian frameworks, moving away from legacy frequentist methods to process tens of millions of data points with higher accuracy and speed. They need a Senior Data Scientist to set the technical standard … Bayesian methods across a growing 25-person UK team. You will directly own core models, choose the best methods for the job, and see your work guide major commercial decisions. Drive Model Strategy: Select and build the right Bayesian, frequentist ...

both technical and non-technical audiences. A proven track record of turning business problems into measurable outcomes. Nice to Have Experience with Bayesian modelling, optimisation algorithms or multi-armed bandits. Exposure to Generative AI, LLMs or agentic AI systems. MLOps experience, including CI/CD, model monitoring ...

foundations. You have a background in probability and statistics from a quantitative field such as mathematics, physics, or statistics. You're comfortable with Bayesian reasoning, and have applied hierarchical models or formal decision-making under uncertainty in real work.Causal inference and experimentation. You've separated signal from ...

Senior Researcher in Probabilistic Machine Learning for AI Governencecentral OxfordWe are seeking a full-time Senior Researcher to join the Bayesian Governance Lab, led by Professor Maike Osborne, in the Department of Engineering Science (central Oxford), working in close collaboration with the Oxford Martin AI Governance Initiative. … inference and experimental design rather than of static benchmarking. You will lead a strand of research on Bayesian methods for the evaluation and monitoring of AI systems, publish your findings, lead the lab’s open-source software, translate results into policy-facing outputs ...

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 ...

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 ...

attribution and customer acquisition economics. Commercially minded, with the ability to influence marketing strategy. An AI-first approach to data science. Experience with Bayesian modelling, value-based bidding or LTV modelling would be advantageous. Package: £70,000-£90,000 + bonus and benefits Location: Fully remote within ...

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 ...

supervised ML algorithms, tuning, and performance evaluation.Experience with a range of feature engineering techniques (e.g. target encoding).Solid grasp of frequentist and Bayesian statistics for parameter estimation and experimentation.Experience in writing clean, production-grade Python code for both model training and inference.Excited to leverage LLMs for coding ...

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 ...

Make your mark for patientsWe are looking for a Principal Computational Methodologist who is curious, collaborative, and impact-driven to join our Advanced Methods and Data Science team within Biometrics and Data Science, based in any of our Brussels (Belgium), Slough (UK) or Raleigh (US).About the roleYou will … help shape how advanced AI, machine learning, and computational methods support clinical development. You will design, validate, and deploy models that help teams make evidence-based decisions in areas such as biomarker discovery, clinical trial design, operational efficiency, and patient experience. You will guide scientific thinking, turn complex methods ...

team, contributing your statistical and ML expertise across other client workstreams.KEY RESPONSIBILITIESDesign data-driven solutions tailored to client challenges, leveraging advanced analytical methods, ML models, and AI technologies to deliver business value.Lead media effectiveness projects for our clients - designing, building and interpreting Media Mix Models, incrementality studies, and multi … attribution solutions.Solid understanding of marketing strategy, media channels, customer journeys, and how to translate media investments into business impactA strong foundation in traditional statistical methods (e.g. regression, time series, probabilistic models), combined with a proactive mindset for exploring and applying cutting-edge developments in ML and AI.Deep understanding ...

team, contributing your statistical and ML expertise across other client workstreams.KEY RESPONSIBILITIESDesign data-driven solutions tailored to client challenges, leveraging advanced analytical methods, ML models, and AI technologies to deliver business value.Lead media effectiveness projects for our clients - designing, building and interpreting Media Mix Models, incrementality studies, and multi … attribution solutions.Solid understanding of marketing strategy, media channels, customer journeys, and how to translate media investments into business impactA strong foundation in traditional statistical methods (e.g. regression, time series, probabilistic models), combined with a proactive mindset for exploring and applying cutting-edge developments in ML and AI.Deep understanding ...

it. You'll also meet brokers in person, which gives you the context to ask the right questions. The team is new, so its methods are yours to shape. You'll see the effect of your work in how many businesses reach an offer, and in their lifetime value.You … work with data scientists in iwoca's other broker and partner teams, and join the analytics guild – iwoca's data science community – to compare methods and build your expertise. Your results reach the wider business through Learnings, short write-ups that iwoca shares at weekly and fortnightly sessions.Live project ...

which businesses the team reaches, how they convert, and on what terms.You'll join the analytics guild – iwoca's data science community – and share methods with data scientists in the UK broker and partner teams, who work on similar questions.Live project examples:Funnel experiments. Designing and analysing controlled experiments … it.Communication. You write and speak clearly, directly, and concisely. You adapt technical detail for non-technical colleagues in commercial and product roles.Bonus:Bayesian methods. You understand Bayesian statistics, and you've applied hierarchical models or are keen to.Machine learning. You've built or adapted ...

analytical approach is still young, so you'll help set its methods. Around 10% of your time is for research and learning – finding better methods for the problems in front of you, or new ways to add value.You'll work with data scientists in iwoca's other customer flow … teams, and join the analytics guild – iwoca's data science community – to align on methods and build your expertise. Your results reach the wider business through Learnings – short write-ups of what an experiment found, shared at weekly and fortnightly sessions.Live project examples:Pre-qualification. Measuring how showing customers ...

analysis and modelling for the card's commercial decisions. You'll often have small samples and incomplete data, which suits Bayesian methods. You'll quantify the uncertainty in each estimate and explain what it means for the decision.You'll run your own projects, from framing the question … card grows. You will be embedded in a broader Credit Cards Team and learn about the product and customer needs. You'll share methods with Credit Risk Modelling, especially where card and lending models overlap, and with data scientists across iwoca in the analytics guild.Live project examples:Credit limits. ...

quality, customer effort, process adherence, consistency, fairness, durability of resolution and cost effectiveness. Identify the root causes of issues by combining machine learning, statistical methods and domain expertise from colleagues to understand what genuinely drives customer outcomes. Identify and test solutions Turn analytical insight into concrete proposals to improve … Python skills, with experience working with large, complex and imperfect datasets. Strong grounding in statistical analysis (e.g., classical ANOVA, non-parametric uncertainty quantification, Bayesian estimation) and causal inference, with experience designing both controlled experiments and observational studies. Experience applying machine learning, statistical modelling, NLP and LLM-based ...

endemic diseases and antimicrobial resistance.The research associate will be responsible for developing, implementing and applying artificial intelligence, machine learning, deep learning and data-mining methods to address complex research questions. They will lead the analysis of large-scale, heterogeneous datasets, including sequencing, sensor, biological and medical data, and ensure … robust, reproducible computational workflows.The postholder will be responsible for developing and applying AI methods across the following areas, demonstrated through scientific publications or other academic/industrial achievements:Generative AI (text and numerical data; excluding image, audio, video generation)Agentic AI, orchestration, and adaptive systems (continuous feedback, dynamic reasoning ...

Platform organisation and builds the evidence that helps teams make confident decisions about the data underpinning our embodied AI systems. We develop statistically robust methods, metrics and tools to determine when data-quality, annotation and evaluation signals can be trusted—and when they cannot. ð§ Your day-to-dayDefine … measurable, statistically rigorous concepts of data quality, including coverage, label quality, uncertainty, provenance and model performance.Apply statistical-inference methods to multi-rater annotation, label ambiguity, dataset coverage and black-box model evaluation.Partner with annotation, autonomy and evaluation teams to translate practical quality questions into defensible metrics.Build automated reports that ...

harness massive compute power and to use state-of-the-art ML techniques – published in recent conferences or developed entirely in-house – as textbook methods won’t beat the competition.ML is integral to develop successful investment management strategies; it is one of the core drivers of our overall performance … learning, non-convex optimisation, Bayesian non-parametrics, NLP or approximate inferenceExcellent reasoning skills and mathematical ability are crucial: off-the-shelf methods don’t always work on our data so you will need to understand how to develop your own modelsStrong programming skills and experience working ...

knowledge sharing across the discipline. What we're looking forExperience as a Data Analyst (or similar role) within consumer-facing product teams Experience applying methods for statistical inference (e.g. Bayesian, Frequentist) and analysing A/B tests Experience in planning and completing analytical tasks on time ...

each stage of the consumer’s lifecycle. Experience overseeing experimentation programmes and practices that inform product or business decisions. A good understanding of methods for statistical inference (e.g. Bayesian, Frequentist) and familiarity with predictive analytics techniques is highly beneficial. Working knowledge of common analytics tools used ...