14 of 14 Probability Theory Jobs in the UK

able to make pragmatic decisions in a dynamic environment. More specifically, you should have: 3+ years of experience applying predictive modelling, machine learning, and probability theory, preferably in sports or gaming/betting industries Familiarity with techniques such as Monte Carlo simulation, Bayesian modelling, mixed effects models, Kalman More ❯

of quants, developers, and analysts, to combine technical expertise with football knowledge. Key Requirements: 3+ years of experience applying predictive modelling, machine learning, and probability theory, preferably in sports or gaming/betting industries Familiarity with techniques such as Monte Carlo simulation, Bayesian modelling, mixed effects models, Kalman More ❯

of quants, developers, and analysts, to combine technical expertise with football knowledge. Key Requirements: 3+ years of experience applying predictive modelling, machine learning, and probability theory, preferably in sports or gaming/betting industries Familiarity with techniques such as Monte Carlo simulation, Bayesian modelling, mixed effects models, Kalman More ❯

analysts, as well as having the freedom to explore and develop individual ideas. Requirements 3+ years of experience in predictive modelling, machine learning, and probability theory, preferably in the sports or gaming/betting industries. Familiarity with techniques such as Monte Carlo simulation, Bayesian modelling, mixed effects models More ❯

analysts, as well as having the freedom to explore and develop individual ideas. Requirements 3+ years of experience in predictive modelling, machine learning, and probability theory, preferably in the sports or gaming/betting industries. Familiarity with techniques such as Monte Carlo simulation, Bayesian modelling, mixed effects models More ❯

Product teams. Person Profile: Strong applied statistics, including experimental design and analysis, cross-sectional and time-series data analysis techniques, and familiarity with regular probability theory and concepts. Strong R or Python, or similar open-source data manipulation and analysis tool. Strong data and analytical skills, including the More ❯

technical stakeholders. You may have: Experience with one or more ML Ops frameworks - MLFlow, Kubeflow, Azure ML, Sagemaker. Strong theoretical foundations in linear algebra, probability theory, or optimization. Experience and training in finance and operations domains. Deep experience with ML approaches: deep learning, generative AI, large language models More ❯

learning techniques: Good to have latest applied machine knowledge to improve models Statistics/Mathematics: Data Quality Analysis, Data identification, Hypothesis testing, distribution/probability theory. Data Science: Time series analysis, Object Oriented Programming, Business intelligence, Databases. Fundamental Knowledge: Good to understand the European Power/Natural Gas markets More ❯

in a data science role. Degree in a highly quantitative field: Computer Science, Machine Learning, Statistics, Mathematics, etc. Proficiency with data mining, knowledge of probability theory and advanced statistical techniques. Experience with regression analysis (beyond linear regression), supervised learning, unsupervised learning or time-series analysis. Experience with scientific More ❯

engineering teams towards delivering high-impact autonomous robot systems. Solid background in computer science fundamentals, including data structures, algorithms, system design, deep learning, and probability theory, applied to real-world robotics challenges. Comprehensive knowledge of Robotics Navigation, Perception, and Reasoning, with the ability to strategically guide teams in More ❯

engineering teams towards delivering high-impact autonomous robot systems. Solid background in computer science fundamentals, including data structures, algorithms, system design, deep learning, and probability theory, applied to real-world robotics challenges. Comprehensive knowledge of Robotics Navigation, Perception, and Reasoning, with the ability to strategically guide teams in More ❯

preferences in Europe, Canada, North America, and specific lottery-based casino customers About You Experience with real money wagering casino games Background in Combinatorics, Probability Theory, and Statistics Solid experience with MS Excel, creating and adapting large and complex spreadsheets Basic programming knowledge and aptitude for learning advanced More ❯

It is essential that you are an expert in Microsoft Excel and a skilled user of either R or Python, comfortable with statistics and probability theory. We are looking for someone who enjoys working with innovative questions in a dynamic and challenging environment and has strong task management abilities. More ❯

design levels Experience in software projects (ideally within industrial IoT environment) Proficiency in understanding the mathematical aspects of Safety and Reliability engineering, including statistics, probability theory, and mathematical modelling Ensuring thorough consideration and implementation of lessons learned from previous in-service experiences Contribute to improve Ventive quality system More ❯