able to make pragmatic decisions in a dynamic environment. More specifically, you should have: 3+ years of experience applying predictive modelling, machine learning, and probabilitytheory, 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 probabilitytheory, preferably in the sports or gaming/betting industries. Familiarity with techniques such as Monte Carlo simulation, Bayesian modelling, mixed effects models More ❯
london, south east england, united kingdom Hybrid / WFH Options
Harrington Starr
analysts, as well as having the freedom to explore and develop individual ideas. Requirements 3+ years of experience in predictive modelling, machine learning, and probabilitytheory, preferably in the sports or gaming/betting industries. Familiarity with techniques such as Monte Carlo simulation, Bayesian modelling, mixed effects models More ❯
Chantilly, Virginia, United States Hybrid / WFH Options
General Dynamics Information Technology
and post-doctoral work experience and will count towards experience. AWS/Cloud development/computing and OpenCV Working knowledge in statistical principles and probabilitytheory, image segmentation, automated quantitative evaluation of image data, and feature extraction. Work Requirements 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, ProbabilityTheory, and Statistics Solid experience with MS Excel, creating and adapting large and complex spreadsheets Basic programming knowledge and aptitude for learning advanced 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, probabilitytheory, and mathematical modelling Ensuring thorough consideration and implementation of lessons learned from previous in-service experiences Contribute to improve Ventive quality system More ❯
