8 of 8 Bayesian Methods Jobs in London

experience building statistical or ML models (ideal for someone entering contracting). Strong skills in: Regression modelling Mathematical modelling Machine Learning fundamentals Bayesian modelling Proficiency in Python and/or R . Understanding of marketing or brand metrics is highly beneficial. Experience with econometric-style models (e.g. ...

years’ experience as a quantitative analyst or data scientist within sports betting industry. A mathematics-based degree from a top university Expertise in Bayesian statistics, MCMC, and GLMs Knowledge of sports models literature Proficient in SQL and Python/R Demonstrated experience building and delivering ML and ...

learning, and probability theory. Ideally this would be within sports or gaming/betting industries. Understanding of techniques such as Monte Carlo simulation, Bayesian modelling, GLMs, mixed effects models, time series forecasting etc Strong programming ability, preferably in Python SQL and relational databases The company offer some ...

and distributed training concepts. Evaluation Frameworks: Experience with standard NLP benchmarks (GLUE, SuperGLUE, etc.) and custom evaluation design. Fine-tuning Techniques: Understanding of PEFT methods, instruction tuning, and alignment techniques. Model Deployment: Knowledge of model optimization, quantization, and serving infrastructure for large models. Additional Skills, Experience and Qualifications: Machine … Grafana), and automated ML pipelines (GitHub CI/CD, Jenkins, CircleCI, GitLab etc.). Statistical Modeling : Hypothesis testing, experimental design, causal inference, and Bayesian statistics. Model Evaluation : Cross-validation strategies, bias-variance analysis, and performance metric design. Feature Engineering : Advanced techniques for text, time-series, and multimodal ...

Learn) Experience with deep learning tools (e.g. PyTorch, TensorFlow, or similar) Strong mathematical/statistical background Familiarity with a wide range of data science methods (e.g. ML, NLP, Bayesian inference, APIs, SQL) Experience leading data science teams and managing project timelines Excellent communication and stakeholder engagement ...

behavioural, transactional, and demographic data Design and build predictive models to enhance personalized customer experiences across all channels Collaborate on design of test & learn methods to measure CRM initiatives' effectiveness Monitor and optimize model performance through continuous improvement cycles Technical Implementation Transform analytical solutions into production-ready code Implement … metrics Skills ? Relevant experience in Customer Marketing Data Science including applied statistics and machine learning techniques (supervised and unsupervised learning, natural language processing, Bayesian statistics, time-series forecasting, collaborative filtering etc) ? Proficiency in Python with familiarity to ML libraries e.g. pandas, numpy, scipy, scikit-learn, tensorflow, pytorch ...

environment. The role involves applying modelling, optimisation, and simulation techniques to improve operational efficiency and deliver production-ready solutions. Key Responsibilities Apply exploration-exploitation methods and optimisation techniques (surrogate models, Bayesian optimisation, imitation learning). Build dynamic feedback control models and stochastic simulation models. Develop and ...

environment. The role involves applying modelling, optimisation, and simulation techniques to improve operational efficiency and deliver production-ready solutions. Key Responsibilities Apply exploration-exploitation methods and optimisation techniques (surrogate models, Bayesian optimisation, imitation learning). Build dynamic feedback control models and stochastic simulation models. Develop and ...