1 to 10 of 10 Bayesian Methods Jobs

Science, Maths or similar STEM discipline, ideally to Masters of PhD level Experience of building mathematical or ML data models, and working with Bayesian inference, Monte Carlo, Random Forest etc. models Experience in data research with strong statistical skills Experience in software design and development using Python more »

at least three of the following areas: Generative AI, Supervised and Unsupervised Learning, Deep Learning, Computer Vision, Recommendation Systems, Knowledge Graphs, Probabilistic Inference, Bayesian Statistics, Reinforcement Learning. Strong industry experience, with a focus on taking concepts and models from conception to production and quantifying business impact. Proficiency more »

or Master in statistics, data science, computer science, mathematics or a related field Strong interest in modeling, probability and statistics (time series predictions, bayesian inference, machine learning among other hot topics) Experience forecasting US sport events Highly proficient in Python and the main data science libraries Interest more »

process monitoring Developing soft sensors based on PLS and neural net models to predict slurry particle size and viscosity Implementing Bayesian methods and/or state-of-the-art methods for optimising the Design of Experiments approach. Working with clients to increase their sustainability footprint more »

are looking for: Experience developing MMM models, not just using off-the-shelf tools but developing the models themselves A strong background in Bayesian statistics Experience as a Mid-or-Senior level Data Scientist Solid knowledge of Data Engineering principles, including productionisation Technical experience with some or 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 »

rate for the right candidate. Hybrid working model - 3 days in office Highly experienced in Python and SQL - as well as time series & bayesian modelling. Background in STEM Financial Services experience preferred but not essential The notice period can be up to 4 weeks (with potential flex more »

exposure to futures products - EU or US - with holding periods intraday and shorter. Technically strong and Python proficient Advanced competence in statistical modelling (Bayesian, stochastic, time series etc.) and/or machine learning. Pre-Application: Please do not apply if you're looking for a contract or more »

to solve commercial problems, including, hypothesis testing, feature transformations, dimensionality reduction, correlation analysis, regression analysis (multiple linear and logistic), time series analysis and Bayesian methods. skills - adept in Python and its core data/analytics libraries (including in relation to working with Amazon Dynamo DB), alongside SQL … deep work) and within a team - supportive, collaborative. keen interest in data analytics - bringing to the team, new approaches, best practice developments, and analytical methods from other walks of life. critical thinker and a problem solver. proactive, detail focused, person who is curious and seeks continuous improvement both in more »

and leading in statistics on regulatory submissions, including developing ISE/ISS packages Excellent knowledge and experience of clinical development, study designs, advanced statistical methods (adaptive design and/or Bayesian is a plus), regulatory guidelines (ICH, FDA, EMA) Excellent knowledge of statistical analysis software (SAS more »