10 of 10 Bayesian Methods Jobs

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 ...

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 ...

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 ...

Working On Developing large-scale foundation models for biological and chemical data Building probabilistic ML systems capable of uncertainty estimation and Bayesian inference Training transformer architectures and latent variable models across molecular and genomic datasets Scaling distributed GPU training pipelines for multi-billion parameter models Working … systems in production Strong background in deep learning and modern foundation model architectures Experience with probabilistic modelling techniques such as Bayesian methods, Gaussian Processes, or variational inference Expertise in PyTorch, JAX, or similar frameworks Experience training large models on distributed infrastructure Strong software engineering and systems ...

deep learning systems in production Deep understanding of foundation model architectures and modern generative AI techniques Experience with probabilistic ML approaches such as Bayesian inference, latent variable models, or uncertainty-aware systems Strong software engineering and distributed systems experience Ability to balance research innovation with engineering execution ...

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 ...

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 ...