11 of 11 Remote/Hybrid Bayesian Methods Jobs

technical and non-technical stakeholders, translate complex model outputs into trading insights and strategic recommendations. Stay current with developments, and state-of-the-art methods in ML/optimisation relevant to energy trading. Your Profile MSc or PhD in Data Science, Statistics, Mathematics, Physics, Computer Science, Operations Research … Python (pandas, NumPy, scikit-learn, LightGBM/XGBoost, or similar); SQL and cloud-based data platforms. Experience with reinforcement learning, Bayesian methods, or time-series deep learning (LSTMs, Transformers) in a trading context. Strong experience with optimisation techniques (LP/MILP, stochastic optimisation) applied to asset ...

technical and non-technical stakeholders, translate complex model outputs into trading insights and strategic recommendations. Stay current with developments, and state-of-the-art methods in ML/optimisation relevant to energy trading. Your Profile MSc or PhD in Data Science, Statistics, Mathematics, Physics, Computer Science, Operations Research … Python (pandas, NumPy, scikit-learn, LightGBM/XGBoost, or similar); SQL and cloud-based data platforms. Experience with reinforcement learning, Bayesian methods, or time-series deep learning (LSTMs, Transformers) in a trading context. Strong experience with optimisation techniques (LP/MILP, stochastic optimisation) applied to asset ...

technical and non-technical stakeholders, translate complex model outputs into trading insights and strategic recommendations. Stay current with developments, and state-of-the-art methods in ML/optimisation relevant to energy trading. Your Profile MSc or PhD in Data Science, Statistics, Mathematics, Physics, Computer Science, Operations Research … Python (pandas, NumPy, scikit-learn, LightGBM/XGBoost, or similar); SQL and cloud-based data platforms. Experience with reinforcement learning, Bayesian methods, or time-series deep learning (LSTMs, Transformers) in a trading context. Strong experience with optimisation techniques (LP/MILP, stochastic optimisation) applied to asset ...

technical and non-technical stakeholders, translate complex model outputs into trading insights and strategic recommendations. Stay current with developments, and state-of-the-art methods in ML/optimisation relevant to energy trading. Your Profile MSc or PhD in Data Science, Statistics, Mathematics, Physics, Computer Science, Operations Research … Python (pandas, NumPy, scikit-learn, LightGBM/XGBoost, or similar); SQL and cloud-based data platforms. Experience with reinforcement learning, Bayesian methods, or time-series deep learning (LSTMs, Transformers) in a trading context. Strong experience with optimisation techniques (LP/MILP, stochastic optimisation) applied to asset ...

technical and non-technical stakeholders, translate complex model outputs into trading insights and strategic recommendations. Stay current with developments, and state-of-the-art methods in ML/optimisation relevant to energy trading. Your Profile MSc or PhD in Data Science, Statistics, Mathematics, Physics, Computer Science, Operations Research … Python (pandas, NumPy, scikit-learn, LightGBM/XGBoost, or similar); SQL and cloud-based data platforms. Experience with reinforcement learning, Bayesian methods, or time-series deep learning (LSTMs, Transformers) in a trading context. Strong experience with optimisation techniques (LP/MILP, stochastic optimisation) applied to asset ...

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 ...

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 ...

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 ...