5 Bayesian Methods Jobs in London

PyTorch, etc.) & basic libraries for data science e.g. NumPy, Pandas, Scikit-Learn Strong command of standard data science techniques - supervised/unsupervised ML, Bayesian inference, time-series analysis etc. Master's or PhD in relevant fields. Working at an early stage tech startup is a bonus Experience more »

within the sports betting industry. Modelling Expertise: Deep understanding and experience in modelling, probability, and statistics, including time series predictions, machine learning, and Bayesian inference. Technical Proficiency: Highly proficient in Python/R and other relevant programming languages, capable of tackling diverse analytical challenges. Mentorship Capability: Ability more »

a client-friendly manner. Experience: Experience in a similar role within a Media Agency environment, delivering MMM and attribution model projects. Proficiency in Bayesian and linear regression approaches; familiarity with other machine learning techniques is advantageous. Extensive experience in data mining and analysis, including designing methodologies to more »

day duties and responsibilities will include, but won’t be limited to building and improving sports prediction models To research recent advances in Bayesian updating to better extract signals from noisy data To design and build your own models using your own ideas To work closely with more »

development. - Provide scientifically rigorous statistical consultancy, input, and advice into clinical development plans and trial protocols. - Lead the implementation of innovative statistical thinking and methods to enhance drug development approaches. Requirements: - MSc or PhD in Statistics, with significant experience applying biostatistics in a consultancy role or commercial drug development … environment. - Experience in trial design for decision-making and early drug developments, including Bayesian and adaptive designs. - Outstanding organisational and project management skills, with the ability to lead and manage a small statistical team in a fast-paced environment. more »