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 »
at least three of the following areas: Generative AI, Supervised and Unsupervised Learning, Deep Learning, Computer Vision, Recommendation Systems, Knowledge Graphs, Probabilistic Inference, BayesianStatistics, Reinforcement Learning. Strong industry experience, with a focus on taking concepts and models from conception to production and quantifying business impact. Proficiency more »
a client-friendly manner. Experience: Experience in a similar role within a Media Agency environment, delivering MMM and attribution model projects. Proficiency in Bayesianand linear regression approaches; familiarity with other machine learning techniques is advantageous. Extensive experience in data mining and analysis, including designing methodologies to more »
Oxford, Oxfordshire, South East, United Kingdom Hybrid / WFH Options
True Worth Consulting Ltd
battery systems modelling. You have a passion for time-series forecasting and experience bringing time-series forecasts to production. You have experience with Bayesian or probabilistic modelling (e.g. Monte Carlo simulation, MCMC, PyMC, Hidden Markov Models, Stochastic Processes). You have experience bringing your creative output to more »
process monitoring Developing soft sensors based on PLS and neural net models to predict slurry particle size and viscosity Implementing Bayesianmethodsand/or state-of-the-art methods for optimising the Design of Experiments approach. Working with clients to increase their sustainability footprint more »
knowledge in a dynamic work environment. Desirable Experience: Hands-on experience with computational models that simulate cellular disruptions. Knowledge of Bayesianmethodsand proactive machine learning techniques. Practical experience in developing AI-driven generative models, particularly those involving transformer architectures. A demonstrated passion for research into more »