10 of 10 Permanent Bayesian Methods Jobs in London

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 ...

testing). Ideally, you have proven experience developing and deploying Marketing Mix Models in a commercial environment. Strong statistical foundation, ideally including Bayesian methods. A passion for building production-quality, source-controlled data products, with data engineering skills to help the team own more of its data ...

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. ...

command of diverse methodologies, with a solid grasp of data science and statistical techniques (e.g., supervised/unsupervised machine learning, model cross-validation, Bayesian inference, time-series analysis). Strong Python programming skills and an excellent proficiency of the basic libraries for data science (e.g., NumPy, Pandas ...

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 ...

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 ...

with cloud platforms (AWS, Redshift, Azure), git version control Model automation, Kafka Familiarity with intermediate-level statistics (e.g., Probability, Hypothesis testing, Frequentist and Bayesian statistics). Proven ability to present insights using PowerBI and Excel. Strong problem-solving skills and a collaborative mindset. Experience in industries with ...

development. • Collaborate with engineering to deploy models in high-performance, production environments. • Publish internal technical notes or contribute to external research when appropriate. • Explore methods in synthetic data generation, foundation-model adaptation, and model compression. Your Profile • Ideally holding a Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Mathematics … advanced AI research. • Proficient in Python; experience with PyTorch or JAX. • Understanding of reinforcement learning, multi-agent systems, probabilistic/Bayesian methods, or large-scale training. • Curiosity-driven mindset, strong problem solving, and the ability to work cross-functionally. • English is the working language; additional languages ...

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 ...

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 ...