15 of 15 Permanent Bayesian Methods Jobs in London

least 3 data or ML products from problem definition to production deployment and monitoring.* Demonstrated proficiency in clustering, predictive modeling, reinforcement learning, and Bayesian statistics.* Hands-on experience in software engineering, MLOps, and deploying machine learning models at scale.* Proficiency in SQL, Python, and familiarity with ...

least 3 data or ML products from problem definition to production deployment and monitoring. Demonstrated proficiency in clustering, predictive modeling, reinforcement learning, and Bayesian statistics. Hands-on experience in software engineering, MLOps, and deploying machine learning models at scale. Proficiency in SQL, Python, and familiarity with ...

based models in an MMM context. Strong understanding of statistical modelling/Machine Learning techniques. Experience with probabilistic programming and Bayesian methods Good working knowledge of cloud-based data science frameworks. This is a 6 month contract position which provides a daily rate of £688 (Inside ...

based models in an MMM context. Strong understanding of statistical modelling/Machine Learning techniques. Experience with probabilistic programming and Bayesian methods Good working knowledge of cloud-based data science frameworks. This is a 6 month contract position which provides a daily rate of £688 (Inside ...

through to insight Analyse marketing, customer, and campaign data to drive performance improvements Build and apply statistical models (regression, econometrics, Bayesian methods) Support development of dashboards and visualisations Translate analytical outputs into clear business recommendations Collaborate with senior consultants and contribute to client delivery What they ...

recommendations. Data Scientists do this by listening to team members, understanding context and challenging business ideas. Data Scientists use diverse techniques - frequentist and Bayesian statistics, machine learning, exploratory and explanatory data analysis, causal inference, data visualization, monte carlo modelling, econometric analysis, etc. Such broad requirements call ...

real world, messy data and delivering production ready solutions. Familiarity with cloud environments such as AWS is beneficial. Exposure to Bayesian methods, random forests, or marketing analytics is advantageous but not essential. Ability to demonstrate how your work has delivered tangible value or influenced decision making. ...

data science projects and demonstrating commercial impact. Familiarity with cloud environments such as AWS is beneficial. Exposure to Bayesian methods, random forests, or similar approaches is highly desirable. Marketing or channel performance experience is helpful but not essential; technical capability is the priority. What They Offer ...

through to multinationals, helping them secure highly sought after skill sets. Key words: Data Scientist, Algorithm Developer, Equity Research, Investments, Quantitative Research, Bayesian Statistics, Mathematics, Computer Science, Analytical Algorithms, Python. C++, Monte Carlo. ...

diverse range of sources, ensuring quality and accuracy prior to use in model creation. Apply statistical and machine learning techniques such as regression, Bayesian modelling, or time-series analysis to improve our UK marketing effectiveness model. Apply learnings from the UK to developing a new model ...

Rust, Python and others). Confident operating at senior leadership level and influencing across functions. Desirable: Google Cloud Platform including BigQuery & AI Platform. Bayesian statistics. Agent based simulation and reinforcement learning The interview journey: 1st stage interview with two engineers from the team. Tech challenge ...

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 expert ...

they do with their clients Helping shape new projects based on client needs Contributing to the wider team Improving how they do MMM—tools, methods, automation Sharing knowledge and contributing to internal initiatives Living our values: Curiosity, Creativity, Excellence, Transmission, and Pleasure What our client is looking for: Your … tools like Python, R, SQL, Excel, and data visualisation platforms Experience working with large datasets and building robust models Good understanding of regression, Bayesian approaches, and advanced analytics Able to explain complex results in a simple, business-friendly way How you work Excellent communication, storytelling and presentation ...

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 ...

observability, reproducibility and monitoring of ML/RL solutions. Infrastructure Ownership: Own the development of analytical frameworks, including A/B testing (using Bayesian Inference and contextual multi-armed bandits techniques) and other data science tooling. Ensuring scalability, accuracy, and reliability across projects. Product & Engineering Collaboration: Coordinate … product and engineering to ensure end-to-end solution success. What we need from you Expertise in clustering, predictive modelling, reinforcement learning, and Bayesian statistics. PHD or MSc or equivalent experience in Data Science, Computer Science, Satistics, Physics or related field 5+ years of Data Science experience ...